logoGlobal Energy Interconnection

Contents

Figure(0

    Tables(0

      Global Energy Interconnection

      Volume 3, Issue 5, Oct 2020, Pages 475-485
      Ref.

      Fast frequency response of inverter-based resources and its impact on system frequency characteristics

      Lining Su1 ,Xiaohui Qin1 ,Shang Zhang1 ,Yantao Zhang1 ,Yilang Jiang1 ,Yi Han1
      ( 1.China Electric Power Research Institute,Haidian District,Beijing 100192,P.R.China )

      Abstract

      The inertia response and primary frequency regulation capability of synchronous grids are declining owing to the increasing penetration of inverter-based resources.The fast frequency response (FFR) of inverter-based resources is an important mitigation option for maintaining grid security under the conditions of low inertia and insufficient primary frequency response capability.However,the understanding and technical characteristics of the FFR of inverter-based resources are still unclear.Aiming at solving the aforementioned problems,this paper proposes a definition for FFR based on the impact mechanism of FFR on system frequency.The performance requirements of FFR are clarified.Then,the effects of FFR on system frequency characteristics are further analyzed based on steady-state frequency deviation,the initial rate of change of frequency,and the maximum transient frequency deviation.Finally,the system requirements for FFR and its application effects are verified by simulating an actual bulk power grid,providing technical support for subsequent engineering application.

      1 Introduction

      Conventional synchronous generators are being increasingly replaced by inverter-based resources such as wind turbines,solar photovoltaic batteries,and infeed HVDCs.As a result,the inertia response and primary frequency regulation ability of synchronous grids are declining [1-6].The frequency nadir of a grid with low inertia and frequency regulation ability decreases sharply during severe frequency disturbances such as generator tripping and polar blocking faults in DC transmission systems.In addition,involuntary under-frequency load shedding (UFLS) is more likely to occur in this case [7-10].Therefore,frequency stability is becoming a major challenge owing to the high penetration of inverter-based resources.

      As power electronics devices have the advantage of flexible control,the fast frequency response (FFR) of inverter-based resources during severe frequency disturbances is an important mitigation option of frequency instability for maintaining grid security in the conditions of low inertia and insufficient primary frequency response.

      In recent years,the FFR of inverter-based resources has been extensively investigated.In certain countries and regions,rules and standards that consider FFR are being designed and revised to address upcoming challenges,such as the enhanced frequency response in UK [11-15],the fast frequency reserve for the European Network of Transmission System Operators for Electricity [16-20],and the FFR in Australia [21-23],Ireland [24-25]and Texas [21],[26].In China,national standards are being drafted and revised to regulate the frequency response of wind farms and energy storage systems.

      However,there are no unified definitions of FFR in existing literature.FFR appears to have different meanings depending on the context.Moreover,the functional orientation,performance objectives,and technical implementation specifications of FFR are unclear and inconsistent.A few authors consider that FFR refers to inertia emulation (or several alternative terms such as inertia-based response and synthetic inertia),deloading technology,proportional (droop) response [27-29],and fast synchronous inertia [30],whereas others exclude synthetic inertia from the definition of FFR [19-21],[26],[30].There is a requirement for a clear definition of the FFR of inverter-based resources for further study and application.

      The objective of this study is to propose a clear and widely acceptable definition of FFR and analyze its impact on system frequency characteristics.For this purpose,a definition is proposed based on the impact mechanism of FFR on frequency.Then,the performance requirements of FFR are clarified.Furthermore,the effects of FFR on system frequency characteristics are analyzed based on the indicators of steady-state frequency deviation,the initial rate of change of frequency (ROCOF),and the maximum transient frequency deviation.Finally,the system requirements for FFR and its application effects are verified through the simulation of an actual power grid.This research provides a recognizable definition and classification system with clear physical meaning for FFR,thus providing a unified foundation for subsequent research and application.

      2 Proposed definition of FFR and its impact mechanism on system frequency

      The FFR of inverter-based resources is defined based on its impact mechanism on system frequency.The distinction between the FFR of inverter-based resources and primary frequency response (PFR) is clarified from the perspective of the impact mechanism on system frequency.

      2.1 Clear definition of FFR

      The proposed definition of FFR is as follows:FFR is the controlled contribution of electrical power from a generating unit or power plant that rapidly responds to frequency changes to minimize the torque imbalance of synchronous generators by adding or subtracting the output power into a system,thus contributing towards arresting the frequency change and settling the frequency indirectly.This definition focuses on performance requirements more than technical implementation to achieve the controlled performance objectives.Based on this perspective,various fast control strategies that achieve the performance objective in the definition can be termed as FFR.To clarify,synthetic inertia response,which is defined in consistency with [30],is a subset of FFR.The significant characteristics of the proposed definition are as follows:(1) FFR is the controlled contribution of electrical power from various sources,unlike PFR,which considers the contribution of the mechanical power of synchronous generators.(2) The required response time is faster compared to PFR.This is particularly critical under low-inertia conditions.(3) Various controlled responses are collected from inverter-based resources,such as ROCOF-based FFR responding to the ROCOF,deviation-based FFR responding to frequency deviation,and fast power injection triggered by event detection.

      2.2 Impact mechanism of FFR of inverter-based resources on system frequency

      System frequency is naturally determined by the rotating speed of the synchronous generators connected to a grid.Load exceeds generation when a large generating unit in the system is abruptly lost.In the case of a synchronous generator in the system,the electromagnetic torque acting on the rotor immediately exceeds mechanical torque,thereby reducing the rotating speed of the rotor.Inertia,which is a significantly inherent physical characteristic of the rotor,provides synchronous inertial response (SIR) to arrest rotating speed decline.When the deviation between the current and the initial rotating speed exceeds the preset deadband,the governor automatic control system provides PFR to increase mechanical torque,thereby arresting and restoring the rotating speed of the rotor after a certain period.As indicated by the electrical parameters of the system,the frequency of voltage and current changes with the rotating speed of generators,declining in the first few seconds and rebounding after the frequency nadir.

      The impact mechanism of the FFR of inverter-based resources on system frequency is shown in Fig.1.The blue and red colors represent the cases in which inverterbased resources provide FFR and do not provide FFR,respectively.Note that the figure is only a schematic and does not show simulation results.The frequency response of load is not considered to simplify the analysis.

      Fig.1 FFR impact mechanism

      The high ROCOF and frequency nadir improve when FFR is provided,as shown in Fig.1(a).

      The changes in the electrical power (ΔPe) and mechanical power (ΔPm) acting on the rotors of synchronous generators are shown in Fig.1(b).If the time and space distribution characteristics of frequency are not considered,the system is equivalent to a single machine model.Thus,system frequency can be obtained according to the rotor motion equation,as given by.

      where Δf is the frequency deviation (f-f0) in hertzand Hsys is the inertia constant of the system in seconds.

      The controlled contribution of the electrical power of inverter-based resources (ΔPe,FFR) is shown in Fig.1(c).Notably,the control objective of the FFR of inverter-based resources is the electrical power injected into the system to counteract part of the power imbalance of synchronous generators.Hence,ΔPe is equal to the sum of the changes in external electromagnetic power,as given by

      where ΔPd is the electrical power imbalance owing to a disturbance.ΔPd > 0 for the abrupt loss of sources,and ΔPd < 0 for the abrupt loss of load.ΔPL is the change in load in response to frequency.ΔPe,FFR is the electrical power provided by the FFR of inverter-based resources.

      When ΔPL is neglected,the inversion of the curve in Fig.1(c) is the same as the trend of the red curve in Fig.1(b).

      From (1) and (2),FFR and PFR achieve the same effect of reducing the imbalance between the mechanical power and electrical power acting on the rotors of synchronous generators.FFR contributes indirectly to reduce the electrical power on the grid side,whereas PFR contributes directly to increase the mechanical power on the prime mover side of the synchronous generator.In other words,FFR and PFR indirectly and directly affect the electrical power acting on synchronous generators,respectively.

      When the frequency response of load is considered,ΔPe must be superimposed on ΔPL,as given by

      where KL is the load frequency response coefficient.Typically,a change of 1% in frequency causes a change of 1-2% in load power [31-32].

      Load frequency response slightly reduces the electrical power acting on the rotors;thus,system frequency response improves slightly.

      It should be noted that the functional orientation of FFR is to be an alternative or supplement to PFR to help prevent rapid frequency decline and low-frequency load shedding.Hence,FFR can be designed to be withdrawn after the frequency nadir when PFR is sufficient for restoring system frequency to the steady-state region.This must be sufficiently gradual to ensure that frequency does not decrease again.

      3 Performance requirements of FFR

      The performance requirements of FFR,such as the response time,characteristics,and maximum response capacity,are discussed.

      3.1 Response time of FFR

      The functional orientation of FFR is to contribute towards arresting the change in frequency before the frequency nadir and settle frequency.The response time of FFR is critical under low-inertia conditions.

      From the viewpoint of the implementation of FFR,the response time tr is the total of the response times of control actions,including measurement time tm,identification time ti,signal processing time ts,activation time ta,and full response time tf,as expressed in.

      Owing to the fast control advantage of power electronics,the response time that can be technically achieved is as fast as hundreds of milliseconds.The summary of the response time is provided in Table1.

      Table1 Summary of the response time for inverter-based resources [21],[33-34]

      Inverter-based resources Response time Measure&Identify Signal Activate&Respond fully Wind turbines 0.04-0.1 s 0.02 s 0.04-0.5 s Solar photovoltaic batteries 0.04-0.1 s 0.02 s 0.1-0.2 s HVDC systems 0.04-0.1 s 0.02 s 0.05-0.5 s Lithium batteries 0.04-0.1 s 0.02 s 0.01-0.02 s Flow batteries 0.04-0.1 s 0.02 s 0.01-0.02 s Lead-acid batteries 0.04-0.1 s 0.02 s 0.04 s Flywheels (inverters) 0.04-0.1 s 0.02 s 0.004 s

      According to Table1,the technically achievable response time is 0.07-0.62 s.However,the main challenge is to rapidly and accurately measure frequency or the ROCOF in the transient period when an active power shortage contingency occurs.In this case,a longer duration is required to ensure the accuracy of measurement.A balance between acting fast and making high fidelity decisions is vital.

      Considering the aforementioned factors,the inertia level of the actual system,and the coordination of FFR with the conventional frequency response system,the recommended response time is less than 0.5-1.5 s.Generally,the response time decreases with system inertia.

      3.2 Response characteristics and maximum response capability of FFR

      Based on the different methods of implementation,FFR is categorized into ROCOF-based FFR (synthetic inertia) corresponding to the ROCOF,deviation-based FFR corresponding to frequency deviation,and fast power injection triggered by event detection.

      Unlike the other two types,fast power injection triggered by event detection is a preset automatic strategy that is only applicable to specific events.This type of control technology is typically used in high voltage direct current (HVDC) power modulation and the automatic switching of power sources.

      The controlled contributions of electrical power provided by ROCOF-based FFR and deviation-based FFR are calculated as shown in (5) and (6),respectively.

      where ΔPinertia and ΔPf are the electrical powers (in megawatts) provided by ROCOF-based FFR and deviationbased FFR,respectively,TJ is the equivalent per unit inertia constant of inverter-based resources due to control actions,f is the instantaneous frequency in hertz,f0 is the system rated frequency in hertz, Kf is the frequency response coefficient due to control actions,PN is the MVA rating capacity of inverter-based resources,and Δf is the frequency deviation (f-f0) in hertz.

      The physical characteristics of the inertia of synchronous machines are to prevent the rotor motion state from changing.This prevents frequency from deviating from the rated frequency and returning to the rated frequency.According to (5),during the decrease in frequency,where Δf < 0,df/dt < 0 and ΔPinertia > 0,that is,the inverterbased resources inject more active power into the system,thereby playing a positive role in preventing the decrease in frequency.During the recovery of frequency,where Δf < 0,df/dt > 0 and ΔPinertia < 0,that is,the inverter-based resources inject less active power into the system,thereby playing a negative role in restoring frequency.

      Taking advantage of the flexible control characteristics of the inverter-based resources,ROCOF-based FFR can be designed to only operate under the conditions given by

      Thus,ROCOF-based FFR only plays a positive role in preventing frequency from deviating from the rated frequency.Furthermore,when frequency begins to recover,the inertia response is invalidated to avoid a negative impact on the recovery of frequency.

      An active power reserve is required to ensure that FFR injects sufficient power into the system.It must be ensured that the maximum available response capacity is above a certain level.

      The typical parameters of FFR are listed in Table2.

      Table2 Typical control parameter ranges of FFR

      Control parameters Typical values Wind turbine Solar photovoltaic batteries Electrochemical energy storage station Equivalent per unit inertia constant TJ 4-12 s 4-12 s 4-12 s Frequency response coefficient Kf 10-50 10-50 50-200 Maximum available response capacity ≥6% ≥6% ≥10%

      4 Impact of FFR on system frequency characteristics

      The commonly used indicators for measuring system frequency stability include the maximum transient frequency deviation at the nadir (Δfmax),ROCOF,and steady-state frequency deviation (Δfsteady).Δfmax is an important index,as the UFLS is triggered by the set value of frequency.The maximum ROCOF should not exceed the maximum withstand capability of power generation units and demand to prevent disconnection.Conventionally,SIR and PFR are two key elements in forming the dynamic frequency characteristics of the system.Inertia determines the rate of frequency decrease,immediately after a disturbance.PFR determines steady-state frequency deviation.SIR and PFR are involved in dynamic frequency response,and they affect the frequency nadir.

      Based on the analysis of key system frequency response parameters,system frequency characteristics are studied based on the frequency stability indicators.

      4.1 Key parameters of system frequency response

      The key parameters of system frequency response include the system inertia constant,Hsys,the system frequency response coefficients,and the time constants of PFR and FFR.

      The inverter-based resource penetration,pinv,in a power system is given by

      where Pinv is the output power of inverter-based resources (megawatts) and Ssys is the system load capacity (megawatts).

      As inverter-based resources are a power substitute for synchronous generators,the output power of synchronous generators decreases during operation as pinv increases.

      Unlike synchronously connected rotating machines,inverter-based resources,such as wind turbines with rotating rotors,cannot directly affect frequency because the kinetic energy of the wind turbine is on the DC side and is indirectly released to an AC system via a converter.In doubly fed induction generators,which have an AC connection to a system,physical inertia is negligible compared to the rotational inertia of synchronous generators.

      Inertia arrests frequency decline by injecting kinetic energy from synchronously rotating devices into a system during a power imbalance.The main contribution to Hsys is from synchronously connected rotating generators,as given by (9) [35-37]

      where Ssys is the system load capacity (megawatts),HiSG is the per unit inertia constant of the i-th synchronously connected rotating generator,SiSG is the MVA rating capacity of the i-th synchronously connected rotating generator,and H SG is the average per unit inertia constant of synchronously connected rotating generators.

      According to (5),system inertia is proportional to the total capacity of conventional synchronous generators in the system.Generally,H SG is approximately equal,therefore Hsys increases with the number of generators.Typically,the HSG for a conventional synchronous generator is of the order of 3-6 s and varies according to the generation profile.

      To simplify the analysis,it is assumed that synchronous generators are turned off as pinv increases and there is no spinning reserve in the system.In this condition,relative inertia decreases as pinv increases,as given by

      The system frequency response coefficient,Ksys,consists of KL and the frequency response coefficient of generators,KG,in conventional synchronous-generator-dominated power systems.KG is generally expressed as the inverse of the governor speed regulation droop,R.

      The typical values of the aforementioned parameters are shown in Table3.These values are used to analyze and intuitively display the frequency dynamic characteristics after large power imbalance disturbances.

      Table3 Typical values of parameters

      Parameters Typical values SG H 5 s KL 1.0 R 0.05 TR 8 s TJ 10 TH 0.5 s Kf 20 Tf 0.5 s

      4.2 Steady-state frequency deviation

      The steady-state frequency deviation of the system is related not to system inertia,but only to the frequency response coefficients of the system.

      According to static frequency characteristics,the per unit steady-state frequency deviation,Δfsteady*,is obtained from.

      where pf is the ratio of the rated capacity of the inverterbased resources that provide deviation-based FFR to the total output power of inverter-based resources.

      Based on (11),steady-state frequency deviation is determined by KL,R,and the frequency response coefficient,Kf,of the deviation-based FFR of inverter-based resources.

      In the absence of the deviation-based FFR of inverterbased resources,that is,pf=0,steady-state frequency deviation is obtained from.

      According to (12),steady-state frequency deviation increases with the penetration of inverter-based resources in the absence of the deviation-based FFR of inverter-based resources.

      Fig.2 shows the trend of steady-state frequency deviation with the penetration of inverter-based resources when a power imbalance disturbance occurs in the system with the parameters listed in Table3.The per unit disturbance electrical power,ΔPd*,is assumed as 5%.Under the condition of deviation-based FFR in Fig.2,the value of pf is set as 1.

      Fig.2 Relationship between steady-state frequency deviation and the penetration of inverter-based resources for different control strategies

      As Kf is equal to KG,which is the inverse of R,the steady-state frequency deviation with FFR remains constant as the penetration of inverter-based resources increases.In contrast,in the absence of the deviation-based FFR of inverter-based resources,the absolute value of steadystate frequency deviation increases nonlinearly with the penetration of inverter-based resources.Therefore,deviation-based FFR plays an important role in improving steady-state frequency,particularly with a high penetration of inverter-based resources.

      4.3 Initial ROCOF

      The ROCOF is defined as the time derivative of the power system frequency (df/dt).It is a measure of the rate of decline of the system frequency.

      As FFR is not an instant response but a control function,it takes time to measure and identify signals.Thus,FFR cannot affect the initial ROCOF at time 0+.The initial ROCOF is only determined by system inertia and the amount of power imbalance,as given by (13).

      where * represents the per unit quantity.

      Therefore,when the penetration of inverter-based resources is high,the decrease in relative inertia leads to a nonlinear increase in the initial ROCOF in the power system,as shown in Fig.3.The rate of increase in the initial ROCOF increases with the penetration of inverter-based resources.

      Fig.3 Relationship between the initial ROCOF and the penetration of inverter-based resources

      4.4 Maximum transient frequency deviation

      The maximum transient frequency deviation is obtained at the frequency nadir,which occurs when the mechanical power and electrical power acting on the rotor become equal for the first time.

      The increase in mechanical power is attributed to the PFR of the governor automatic control system.PFR helps arrest frequency and interacts with inertia to determine the frequency nadir.PFR requires about 15-30 s to respond fully.In conventional synchronous-generator-dominated systems,the impact of PFR on the frequency nadir is stronger than that of system inertia [38].The decrease in electrical power is primarily caused by load frequency response and the FFR of inverter-based resources.

      The relationship between the maximum transient frequency deviation and the penetration of inverter-based resources for different control strategies is shown in Fig.4.

      Fig.4 Relationship between the maximum transient frequency deviation and the penetration of inverter-based resources for different control strategies

      ROCOF-based FFR and deviation-based FFR contribute towards improving the maximum transient frequency deviation.Among different FFR control strategies,the effect of deviation-based FFR is better than that of ROCOF-based FFR,and the combined effect of these two strategies is the best.

      When only the deviation-based FFR control strategy is adopted,the absolute value of the maximum transient frequency deviation decreases as the penetration of inverterbased resources increases because of the higher response speed compared to a system with no penetration of inverterbased resources.However,when the penetration of inverterbased resources is high,the absolute value of the maximum transient frequency deviation increases with the penetration of inverter-based resources owing to a higher ROCOF under lower inertia.Therefore,ROCOF-based FFR is considerably necessary when the penetration of inverter-based resources is high.

      5 Simulation case study

      5.1 System requirements and conditions for FFR

      We simulated a bulk receiving end grid with a load capacity of 350 GW.The frequency characteristics under a severe active power shortage contingency with various penetrations of inverter-based resources are compared in Fig.5.After an ultra HVDC bipolar blocking fault,the active power loss of the system is 12 GW,which is approximately 3.4% of the load capacity.As the penetration of inverter-based resources increases,the dynamic characteristics of system frequency gradually deteriorate,which is indicated by the worse frequency nadir and higher ROCOF.

      Fig.5 Frequency characteristics under the same disturbance and various penetrations of inverter-based resources

      The initial ROCOF immediately after the disturbance is the highest,and increases with the penetration of inverterbased resources.Then,the ROCOF gradually decreases with time owing to the comprehensive effects of frequency on system frequency response.The frequency nadir occurs when the ROCOF becomes zero initially.The frequency nadir worsens as the penetration of inverter-based resources increases.

      The figure shows that in the case of a large power imbalance disturbance in the system,the ROCOF increases and the frequency nadir worsens as the penetration of inverter-based resources increases.This increases the risk of UFLS and the disconnection of distributed renewable energy sources.Therefore,the conventional method of relying only on synchronous generators to maintain and regulate system frequency is insufficient,and the system requirements for FFR are crucial when the penetration of inverter-based resources is high.

      5.2 Application effects of FFR

      In the simulation case,the FFR is required the most when the penetration of inverter-based resources is 52%.ROCOF-based FFR and deviation-based FFR are implemented separately via additional frequency control,with the parameters provided in Table2.

      Considering the same disturbance as earlier,the frequency characteristics are improved to varying degrees by different types of FFR,as shown in Fig.6.

      Fig.6 System frequency deviation for different types of FFR

      Fig.6 shows that ROCOF-based FFR arrests frequency decline and improves the frequency nadir but does not contribute to frequency recovery.Deviation-based FFR demonstrates outstanding frequency support by rapidly arresting frequency decline and contributing to the settlement of frequency.The combination of the two types of FFR forms a collaborative response strategy and provides the best effect.

      Fig.7 The output power by the inverter-based resources with different FFR

      The output active power on the grid side of the inverter is shown in Fig.7.The power injection provided by ROCOF-based FFR reaches the peak in an extremely short period and then decreases gradually.Deviation-based FFR subsequently dominates and continuously injects power into the system.The power injected into the system increases when both types of FFR are used simultaneously.

      6 Conclusions

      The increasing penetration of inverter-based resources makes FFR a profound strategy for frequency security and stability of the future power systems.A recognizable definition with clear physical meaning for FFR has been presented to provide a unified foundation for subsequent research and application.In addition,the performance requirements from the system perspective have been proposed and verified.The following conclusions are obtained through simulation and comparison.

      (1) FFR is clearly defined as the controlled contribution of electrical power from a generating unit or power plant that rapidly responds to changes in frequency to minimize the torque imbalance of synchronous generators by adding or subtracting the output power into a system,which contributes towards arresting the change in frequency and settling frequency indirectly.

      (2) PFR directly affects the mechanical input power acting on the rotors of synchronous generators because system frequency is directly determined by the rotating speed of the synchronous generators connected to a grid.In contrast,the FFR of inverter-based resources indirectly affects the electrical output power acting on the rotors of synchronous generators.FFR and PFR achieve the same effect of minimizing the imbalance between the mechanical power (torque) and electrical power (torque) acting on the rotors of synchronous generators.

      (3) The FFR response time is recommended to be less than 0.5-1.5 s.Generally,the FFR response time decreases with system inertia.The maximum available response capacity should be ensured to be above a certain level to ensure that FFR injects sufficient power into the system.

      (4) Deviation-based FFR plays an important role in the improvement of steady-state frequency,particularly when the penetration of inverter-based resources is high.Steady-state frequency deviation is determined by the load frequency response coefficient,governor speed regulation droop,and the frequency response coefficient of the deviation-based FFR of inverter-based resources.

      (5) ROCOF-based FFR and deviation-based FFR cannot affect the initial ROCOF at the moment of a disturbance because FFR is not an inherent characteristic,unlike inertia,which achieves instant response.The control function of FFR requires time to measure and identify signals before activation.The initial ROCOF is only determined by system inertia and the amount of power imbalance.

      (6) ROCOF-based FFR and deviation-based FFR contribute towards limiting the maximum transient frequency deviation.ROCOF-based FFR arrests frequency decline by temporarily injecting a large amount of power into the system in an extremely short period after a disturbance.This is required when the penetration of inverter-based resources is high to compensate for the lack of system inertia.Deviationbased FFR shows favorable frequency support effects by continuously injecting power into the system as long as the system frequency deviation exceeds the dead band.The combination of the two types of FFR forms a collaborative response strategy and provides the best effect.

      This paper focuses on the FFR impact mechanism and performance requirements for the inverter-based resources from the system perspective.The control implementation details to achieve FFR have not been involved.There are still many technical problems to be solved in the application and realization of FFR,such as frequency signal extraction,the coordination between source-side active power control and inverter-side active power control strategies.

      Acknowledgments

      This work was supported by National Science Foundation of China(51477091).

      Declaration of Competing Interest

      We declare that we have no conflict of interest.

      References

      1. [1]

        Teng F,Strbac G (2016) Assessment of the role and value of frequency response support from wind plants.IEEE Trans Sustain Energy 7(2):586-595 [百度学术]

      2. [2]

        Wu Z,Gao W,Gao T,et al (2018) State-of-the-art review on frequency response of wind power plants in power systems.J Mod Power Syst Clean Energy 6(1):1-16 [百度学术]

      3. [3]

        Attya A,Hartkopf T (2013) Control and quantification of kinetic energy released by wind farms during power system frequency drops.IET Renew Power Gener 7(3):210-224 [百度学术]

      4. [4]

        Licari J,Ekanayake J,Moore I (2013) Inertia response from fullpower converter-based permanent magnet wind generators.J Mod Power Syst Clean Energy 1(1):26-33 [百度学术]

      5. [5]

        Gevorgian V,Zhang Y,Ela E (2015) Investigating the impacts of wind generation participation in interconnection frequency response.IEEE Trans Sustain Energy 6(3):1004-1012 [百度学术]

      6. [6]

        Qin X,Su L,Jiang Y,et al (2018) Study on inertia support capability and its impact in large scale power grid with increasing penetration of renewable energy sources.Paper presented at international conference on power system technology,Guangzhou,China,6-8 Nov 2018 [百度学术]

      7. [7]

        Sun H,Xu T,Guo Q,et al (2019) Analysis on blackout in Great Britain power grid on August 9th,2019 and its enlightenment to power grid in China.Proc CSEE 39(21):6183-6191 [百度学术]

      8. [8]

        Wang B,Yang D,Cai G (2020) Review of research on power system inertia related issues in the context of high penetration of renewable power generation.Power Syst Technol 8:2998-3007 [百度学术]

      9. [9]

        Lu Z,Tang H,Qiao Y,Tian X,Chi Y (2018) The impact of power electronics interfaces on power system frequency control:A review.Electr Power 51(1):51-58 [百度学术]

      10. [10]

        Sun H,Wang B,Li W,et al (2020) Research on inertia system of frequency response for power system with high penetration electronics.Proc CSEE 16:5179-5192 [百度学术]

      11. [11]

        Hong Q,Nedd M,Norris S,et al (2019) Fast frequency response for effective frequency control in power systems with low inertia.J Eng 2019(16):1696-1702 [百度学术]

      12. [12]

        National Grid ESO (2019) The Enhanced Frequency Control Capability (EFCC) project closing down report.In:The Enhanced Frequency Control Capability (EFCC) Project.National Grid ESO.https://www.nationalgrideso.com/future-energy/innovation/projects/enhanced-frequency-control-capability-efcc.Accessed April 2019 [百度学术]

      13. [13]

        Cooke A,Strickland D,Forkasiewicz K (2017) Energy storage for enhanced frequency response services.Paper presented at 52nd international universities power engineering conference,Heraklion,Greece,28-31 Aug 2017 [百度学术]

      14. [14]

        Forkasiewicz K,Coldwell M,Cross A,Strickland D (2016) Meeting frequency response requirements with uncertain system inertia — A UK perspective.Paper presented at IEEE international conference on renewable energy research and applications,Birmingham,UK,20-23 Nov 2016 [百度学术]

      15. [15]

        Meng L,Zafar J,Khadem S,et al (2020) Fast frequency response from energy storage systems—A review of grid standards,projects and technical Issues.IEEE Trans Smart Grid,11(2):1566-1581 [百度学术]

      16. [16]

        Modig N,Eriksson R,Haarla L,et al (2019) Technical requirements for fast frequency reserve provision in the Nordic synchronous area.In:Inertia2020 Working Group,ENTSO.https://www.svk.se/siteassets/aktorsportalen/tekniska-riktlinjer/ovriga-instruktioner/technical-requirements-for-fast-frequencyreserve-provision-in-the-nordic-synchronous-area-1.pdf.Accessed May 2019 [百度学术]

      17. [17]

        Hulle F,Pineda I,Wilczek P,et al (2014) Economic grid support services by wind and solar PV.In:REserviceS Project.The European Wind Energy Association.http://www.ewea.org/fileadmin/files/library/publications/reports/REserviceS.pdf.Accessed 1 September 2014 [百度学术]

      18. [18]

        Fu Y,Sang D,Cao W,Zhang Z,Zhang J (2019) Reservices project of EU and it's enlightenment to China's wind power and PV participation in grid frequency regulation.Power Syst Technol 43(2):613-621 [百度学术]

      19. [19]

        Network code on requirements for grid connection of generators (2016) European Union.https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=OJ:JOL_2016_112_R_0001.Accessed 14 April 2016 [百度学术]

      20. [20]

        ENTSO-E (2017) Need for synthetic inertia (SI) for frequency regulation ENTSO-E.In:Implementation Guidance Documents.ENTSO-E.https://www.entsoe.eu/news/2017/03/08/igdconsultation-results/.Accessed 8 March 2017 [百度学术]

      21. [21]

        Miller N,Lew D,Piwko R,et al (2017) Technology capabilities for fast frequency response.GE Energy Consulting.In:GE Energy Consulting report.AMEO.https://www.aemo.com.au/-/media/Files/Electricity/NEM/Security_and_Reliability/Reports/2017-03-10-GE-FFR-Advisory-Report-Final---2017-3-9.pdf.Accessed 9 March 2017 [百度学术]

      22. [22]

        Palermo J (2016) International review of frequency control adaptation.In:DGA Consulting report.AMEO.https://www.aemo.com.au/-/media/Files/Electricity/NEM/Security_and_Reliability/Reports/FPSS---International-Review-of-FrequencyControl.pdf.Accessed 14 October 2016 [百度学术]

      23. [23]

        Australian Energy Market Operator (2017) Fast frequency response in the NEM.In:Future Power System Security Program.AEMO.https://apo.org.au/node/105746.Accessed 7 September 2017.Accessed 21 August 2017 [百度学术]

      24. [24]

        SONI (2020) DS3 System Services Protocol -Regulated Arrangements.In:DS3 System Services Implementation Project.Eirgrid.Group.http://www.eirgridgroup.com/site-files/library/EirGrid/DS3-SS-Protocol-v3.0.pdf.Accessed 1 October 2020 [百度学术]

      25. [25]

        Uijlings W,Timpert J (2015) High level assessment with regards to high RoCoF event detection,response time and FFR type technology solution status.In:RoCoF alternative solutions technology assessment.DNV GL Energy Advisory.http://www.eirgridgroup.com/site-files/library/EirGrid/RoCoF-Alternative-Solutions-Technology-Assessment-Phase-1-DNV-GL-Report_.pdf.Accessed 17 August 2015 [百度学术]

      26. [26]

        ERCOT (2019) Creation of ERCOT contingency reserve service and revisions to responsive reserve.In:NPRR863.ERCOT.http://www.ercot.com/mktrules/issues/NPRR863.Accessed 12 February 2019 [百度学术]

      27. [27]

        Gonzalez-Longatt F (2018) Effects of fast acting power controller of BESS in the system frequency response of a multi-machine system:Probabilistic approach.Paper presented at IEEE innovative smart grid technologies - Asia,Singapore,22-25 May 2018 [百度学术]

      28. [28]

        Rakhshani E,Torres J,Palensky P,der van Meijden M (2019) Determination of maximum wind power penetration considering wind turbine fast frequency response.Paper presented at IEEE Milan PowerTech,Milan,Italy,23-27 Jun 2019 [百度学术]

      29. [29]

        Xu T,Jang W,Overbye T (2018) Commitment of fast-responding storage devices to mimic inertia for the enhancement of primary frequency response.IEEE Trans Power Syst 33(2):1219-1230 [百度学术]

      30. [30]

        Eriksson R,Modig N,Elkington K (2018) Synthetic inertia versus fast frequency response:A definition.IET Renew Power Gener 12(5):507-514 [百度学术]

      31. [31]

        Kundur P (2001) Active power and frequency control.In:Balu N,Lauby M (eds.) Power system stability and control,reprint edn.McGraw Hill and China Electric Power Press,Beijing,p 581-598 [百度学术]

      32. [32]

        Zhang M,Liao Y,Chang B,et al (2018) Research on Interruptible Load Shedding Scheme Considering Load Frequency Characteristics.Electric Power Engineering Technology 37(05):155-160 [百度学术]

      33. [33]

        Wang L,Xie X,Liu Y,Shen H (2018) Real-time coordinated control of short-term frequency stability for the receiving-end systems with multi-infeed HVDC transmissions.Proc CSEE,38(8):2205-2212 [百度学术]

      34. [34]

        Li Z,Fang Y,Li W,et al (2020) Discussion on application of electrochemical energy storage in three defense lines of power grid frequency.Autom Electr Power Syst 44(8):1-7 [百度学术]

      35. [35]

        Shi Q,Li F,Cui H (2018) Analytical method to aggregate multimachine SFR model with applications in power system dynamic studies.IEEE Trans Power Syst 33(6):6355-6367 [百度学术]

      36. [36]

        Rudez U,Mihalic R (2011) Analysis of underfrequency load shedding using a frequency gradient.IEEE Trans Power Deliv 26(2):565-575 [百度学术]

      37. [37]

        Li D,Zang X,Ju P,et al (2019) The improved model and parameter estimation for frequency response of power system.Electric Power Engineering Technology 38(5):85-90 [百度学术]

      38. [38]

        Qin X,Su L,Chi Y,Guo Q (2018) Functional orientation discrimination of inertia support and primary frequency regulation of virtual synchronous generator in large power grid.Autom Electr Power Syst 42(9):36-43 [百度学术]

      Fund Information

      supported by National Science Foundation of China(51477091);

      supported by National Science Foundation of China(51477091);

      Author

      • Lining Su

        Lining Su received bachelor and master degree at North China Electric Power University,Beijing,in 2012 and 2015.She is working in China Electric Power Research Institute,Beijing.Her research interests include grids operation technology and renewable energy integration.

      • Xiaohui Qin

        Xiaohui Qin received Ph.D.degree at North China Electricity Power University,Beijing,in 2008.He is working in China Electric Power Research Institute,Beijing.His research interests include power system plan and operation,application of FACTS and energy storage,power system transient stability,WAMS and its application.

      • Shang Zhang

        Shang Zhang received bachelor and Ph.D.degree at North China Electric Power University,Beijing,in 2013 and 2018.She is working in China Electric Power Research Institute,Beijing.Her research interests include power grid planning,renewable energy integration,and energy storage technology.

      • Yantao Zhang

        Yantao Zhang received bachelor and master degree at Xi’an Jiaotong University,Xi’an,2002 and 2005.He is working in China Electric Power Research Institute,Beijing.His research interests include power system simulation,power grid planning and operation,etc.

      • Yilang Jiang

        Yilang Jiang received bachelor,master and PhD degree at Tianjin University,Tianjin,in 2008,2010 and 2015.He is working in China Electric Power Research Institute,Beijing.His research interests include the technology of grid planning and HVDC transmission.

      • Yi Han

        Yi Han received bachelor and master degree at Xi’an JiaoTong University,Xi’an,in 1995 and 2000.She received Ph.D.degree at China Electric Power Research Institute,Beijing,in 2011.She is working in China Electric Power Research Institute,Beijing.Her research interests include power grid planning and renewable energy integration.

      Publish Info

      Received:2020-07-08

      Accepted:2020-08-20

      Pubulished:2020-10-25

      Reference: Lining Su,Xiaohui Qin,Shang Zhang,et al.(2020) Fast frequency response of inverter-based resources and its impact on system frequency characteristics.Global Energy Interconnection,3(5):475-485.

      (Editor Yanbo Wang)
      Share to WeChat friends or circle of friends

      Use the WeChat “Scan” function to share this article with
      your WeChat friends or circle of friends