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Coordinated voltage control of renewable energy power plants in weak sending-end power grid

2020-09-25

基于模型预测控制的弱送端可再生能源电站电压协调控制

Yongning Chi¹, Weihao Li², Qiuwei Wu^2,3, Chao Liu¹

（1.Department of Renewable Energy, China Electric Power Research Institute, Beijing 100031, P.R. China 2.School of Electrical Engineering, Shandong University, Jinan 250000, P.R. China 3.Center for Electric Power and Energy, Department of Electrical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark）

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Abstract

The utilization of renewable energy in sending-end power grids is increasing rapidly, which brings difficulties to voltage control. This paper proposes a coordinated voltage control strategy based on model predictive control (MPC) for the renewable energy power plants of wind and solar power connected to a weak sending-end power grid (WSPG). Wind turbine generators (WTGs), photovoltaic arrays (PVAs), and a static synchronous compensator are coordinated to maintain voltage within a feasible range during operation. This results in the full use of the reactive power capability of WTGs and PVAs. In addition, the impact of the active power outputs of WTGs and PVAs on voltage control are considered because of the high R/X ratio of a collector system. An analytical method is used for calculating sensitivity coefficients to improve computation efficiency. A renewable energy power plant with 80 WTGs and 20 PVAs connected to a WSPG is used to verify the proposed voltage control strategy. Case studies show that the coordinated voltage control strategy can achieve good voltage control performance, which improves the voltage quality of the entire power plant.

Keywords

Coordinated voltage control, Model predictive control (MPC), Renewable energy, Weak sending-end power grid, Wind turbine generators (WTGs), Photovoltaic arrays (PVAs), STATCOM.

Fig.1 Configuration of the renewable energy power plant

Fig.2Structure of the control strategy

Fig.3Power output capability of DFIG

Fig.4Power output capability of PV inverters

Fig.5Principle of the MPC

Fig.6Active power references of wind farm and PV station

Fig.7Voltage of POC

Fig.8Voltage of WTG_80

Fig.9Reactive power outputs of STATCOM, WTG_80, and PVA_20

Fig.10Voltage of POC at different SCRs

Fig.11 Reactive power output of STATCOM at different SCRs

Fig.12Voltage of POC at different time delays

本文引文信息

Chi YN, Li WH, Wu QW, Liu C (2020) Coordinated voltage control of renewable energy power plants in weak sending-end power grid. Global Energy Interconnection, 3(4): 259-271

迟永宁，李伟豪，吴秋伟，刘超 (2020) 基于模型预测控制的弱送端可再生能源电站电压协调控制. 全球能源互联网（英文），3(4): 259-271

Biographies

Yongning Chi

received a Ph.D. degree from China Electric Power Research Institute (CEPRI), Beijing, in 2006. He has been employed at CEPRI since 2006, presently as Chief Engineer of Renewable Energy Department of CEPRI. His most recent research involves integration of large scale wind power into the Chinese power grid and grid code development. His primary fields of interest are wind power integration impact on power system and power system stability analysis.

Weihao Li

received a B.S degree from North China Electric Power University, Baoding, in 2017. He is working towards M.S degree at Shandong University, Jinan. His research interests include power system analysis and renewable energy.

Qiuwei Wu

obtained the B. Eng. and M. Eng. in Power System and Its Automation from Nanjing University of Science and Technology, Nanjing, China, in 2000 and 2003, respectively. He obtained the PhD degree in Power System Engineering from Nanyang Technological University, Singapore, in 2009. He was a senior R&D engineer with Vestas Technology R&D Singapore Pte Ltd from Mar. 2008 to Oct. 2009. He has been working at Department of Electrical Engineering, Technical University of Denmark (DTU) since Nov. 2009 (PostDoc Nov. 2009-Oct. 2010, Assistant Professor Nov. 2010-Aug. 2013, Associate Professor since Sept. 2013). He was a visiting scholar at Department of Industrial Engineering & Operations Research (IEOR), University of California, Berkeley, from Feb. 2012 to May 2012 funded by the Danish Agency for Science, Technology and Innovation (DASTI), Denmark. He has been a visiting professor named by Y. Xue, an Academician of Chinese Academy of Engineering, at Shandong University, China, since Nov. 2015. His research interests are modeling and control of wind power, electric vehicle, active distribution networks, energy management, and electricity market.

Chao Liu

received a M.S. degree at Shandong University, Jinan, 2009, and received B.S. degree at Shandong University, Jinan, 2006. He is working in China Electric Power Research Institute, Beijing. His research interests include renewable energy generation and integration

editor：Yangbo Wang

reviewer：Wei Wang