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Centralized-Local PV Voltage Control Considering Opportunity Constraint of Short-term Fluctuation

2023-04-18

【论文推荐】华北电力大学刘文霞等：考虑短时波动机会约束的光伏集中式就地电压控制策略

摘要

文章提出一种集中优化的两阶段光伏电压控制策略，以降低控制间隙源荷短时波动的不确定性影响。第一阶段，通过确定性潮流模型优化逆变器15min有功及无功功率，综合减少网损和弃光。第二阶段，通过1分钟就地控制降低短时波动导致的网损恶化，维持一阶段的优化状态。考虑波动不确定性，采用区间算法建立节点电压波动的机会约束模型，限制系统运行在合理状态。最后，提出基于二阶锥优化和灵敏度理论的模型求解算法，通过算例仿真验证模型有效性，并分析波动不确定性、光伏渗透率、逆变器容量等参数的影响。

Centralized-Local PV Voltage Control Considering Opportunity Constraint of Short-term Fluctuation

考虑短时波动机会约束的光伏集中式就地电压控制策略

Hanshen Li1, Wenxia Liu1, Lu Yu2

(1.State Key Laboratory of New Energy Power System, North China Electric Power University, Beijing 102206, P. R. China

2.State Grid Jilin Electric Power Co., Ltd. Economic and Technological Research Institute, Changchun 130022, P. R. China)

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Centralized-local PV voltage control considering opportunity Constraint of Short-term Fluctuation

Abstract

This study proposes a two-stage photovoltaic (PV) voltage control strategy for centralized control that ignores short-term load fluctuations. In the first stage, a deterministic power flow model optimizes the 15-minute active cycle of the inverter and reactive outputs to reduce network loss and light rejection. In the second stage, the local control stabilizes the fluctuations and tracks the system state of the first stage. The uncertain interval model establishes a chance constraint model for the inverter voltage-reactive power local control. Second-order cone optimization and sensitivity theories were employed to solve the models. The effectiveness of the model was confirmed using a modified IEEE 33 bus example. The intraday control outcome for distributed power generation considering the effects of fluctuation uncertainty, PV penetration rate, and inverter capacity is analyzed.

Keywords

ADN, Inverter control, Short-term volatility, Chance constraint optimization, Centralized-local control.

Fig.1 General framework of the proposed model

Fig.2 Solution flow chart

Fig.3 Improved 33-node system structure

Fig.4 PV and load power curve

Fig.5 Voltage distribution without control

Fig.6 Voltage distribution

Fig.7 Network loss time series

Fig.8 Output of inverter at node 18

Fig.9 Influence of volatility on loss

Fig.10 Influence of permeability

Fig.11 Reactive power state between inverters

Fig.12 Influence of the overall capacity

Fig.13 Expected loss under different confidence levels

本文引文信息

Li HS, Liu WX, Yu L (2023) Centralized-local PV voltage control considering opportunity constraint of short-term fluctuation. Global Energy Interconnection, 6(1): 81-94

李涵深，刘文霞，鲁宇 (2023) 考虑短时波动机会约束的光伏集中式就地电压控制策略. 全球能源互联网（英文）, 6(1): 81-94

Biographies

Hanshen Li

Hanshen Li earned his B.S.E. in Electric Power Engineering and Automation from Shanghai Jiao Tong University (SJTU), Shanghai, China, in 2016, his M.E. in Information, Production and Systems Engineering from Waseda University, Tokyo, Japan, in 2017, and his M.E. in Electrical Engineering from SJTU in 2019. Currently, he is pursuing a doctorate in electrical engineering at North China Electric Power University in Beijing, China. His research interests include active distribution planning and operation.

Wenxia Liu

Wenxia Liu obtained her B.S. in Radio Engineering from Nanjing University of Science and Technology, Nanjing, China, in 1990, her M.S. in Power System and Automation from Northeast Electric Power University, Jilin, China, in 1995, and her PhD in Power System and Automation from North China Electric Power University (NCEPU), Beijing, China in 2009. Professor in the School of Electrical and Electronic Engineering at NCEPU. Her research interests include intelligent planning of power systems, risk assessment, power communication systems, and reliability and planning for cyber- physical systems.

Lu Yu

Lu Yu is currently the director of the Economic and Technological Research Institute of State Grid Jilin Electric Power Co., Ltd. with the title of Engineer. He is pursuing a PhD in Electrical Engineering at North China Electric Power University (NCEPU). His research interests include smart grid planning, economic and technical research, etc.

编辑：刘通明

审核：王伟

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