Decision-making Method of Corrective Control for Wind Power System with Unified Power Flow Controller Based on Successive Approximated Linear Programming
Basic Research|更新时间:2025-06-16
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Decision-making Method of Corrective Control for Wind Power System with Unified Power Flow Controller Based on Successive Approximated Linear Programming
Automation of Electric Power SystemsVol. 46, Issue 8, Pages: 20-28(2022)
作者机构:
1.河海大学能源与电气学院,江苏省南京市 211100
2.国电南瑞科技股份有限公司,江苏省南京市 211106
作者简介:
基金信息:
Joint Fund of National Natural Science Foundation of China(U2066601)
ZHOU Haiqiang,GU Tingyan,XUE Feng,et al.Decision-making Method of Corrective Control for Wind Power System with Unified Power Flow Controller Based on Successive Approximated Linear Programming[J].Automation of Electric Power Systems,2022,46(8):20-28.
ZHOU Haiqiang,GU Tingyan,XUE Feng,et al.Decision-making Method of Corrective Control for Wind Power System with Unified Power Flow Controller Based on Successive Approximated Linear Programming[J].Automation of Electric Power Systems,2022,46(8):20-28. DOI: 10.7500/AEPS20210710003.
Decision-making Method of Corrective Control for Wind Power System with Unified Power Flow Controller Based on Successive Approximated Linear Programming
A decision-making method of corrective control for the wind power system with a unified power flow controller (UPFC) based on successive approximated linear programming is proposed. First
the decoupled power flow calculation method for the power system with UPFC is discussed. Then
considering wind power and load forecasting errors
the chance constrained programming theory is used to build the mathematic model for corrective control decisions. To solve the optimization problem of the nonlinear uncertainty system
the sensitivities of the line transmission capacity
voltage and system frequency with respect to the uncertain variables and control parameters are calculated separately. The primary problem is converted to a linear programming problem approximately in a specified steady state. The control parameters are modified iteratively according to the solution until convergence is reached. Finally
the algorithm is applied in a modified IEEE 10-generator 39-bus system to validate the effectiveness. The simulation results show that
compared with the scenario-based method
the successive approximated linear programming method can solve decision-making problems for the corrective control fast and efficiently
and has better economy and security. It is also shown that the load curtailment and the corrective control cost can be decreased largely through the UPFC control.
State Administration for Market Regulation , Standardization Administration . Code on security and stability for power system : GB 38755—2019 [S]. Beijing : Standards Press of China , 2019 .
丁怡婷 . “风光产业”助力能源低碳发展 [N]. 人民日报 , 2021-02-26 (3).
DING Yiting . Wind and solar industry help the development of low carbon energy [N]. People’s Daily , 2021-02-26 (3).
KANG Chongqing , YAO Liangzhong . Key scientific issues and theoretical research framework for power systems with high proportion of renewable energy [J]. Automation of Electric Power Systems , 2017 , 41 ( 9 ): 2 - 11 .
CAPITANESCU F , MARTINEZ RAMOS J L , PANCIATICI P , et al . State-of-the-art, challenges, and future trends in security constrained optimal power flow [J]. Electric Power Systems Research , 2011 , 81 ( 8 ): 1731 - 1741 .
XUE Yusheng , WANG Da , WEN Fushuan . A review on optimization and coordination of emergency control and correction control [J]. Automation of Electric Power Systems , 2009 , 33 ( 12 ): 1 - 7 .
SUN Guoqiang , ZHANG Ke , WEI Zhinong , et al . Deep learning based fast security correction of power system with unified power flow controller [J]. Automation of Electric Power Systems , 2020 , 44 ( 19 ): 119 - 127 .
SHAO W , VITTAL V . LP-based OPF for corrective FACTS control to relieve overloads and voltage violations [J]. IEEE Transactions on Power Systems , 2006 , 21 ( 4 ): 1832 - 1839 .
DAI Fei , CUI Ting , XU Jian , et al . Voltage correction control based on comprehensive sensitivity analysis [J]. Electric Power Automation Equipment , 2011 , 31 ( 12 ): 15 - 20 .
SUN Dayan , ZHOU Haiqiang , JU Ping , et al . Optimization method for emergency load control of receiving-end system considering coordination of economy and voltage stability [J]. Automation of Electric Power Systems , 2017 , 41 ( 17 ): 106 - 112 .
MAO Sijie , JIA Yanbing , ZHANG Qi . Research on emergency control method considering severity of overheating of overload line [J]. Power System Protection and Control , 2019 , 47 ( 16 ): 34 - 42 .
SHI Pengjia , WEN Yunfeng , GUO Chuangxin , et al . Power grid risk-based static security assessment considering corrective control strategy of FACTS devices [J]. Power System Technology , 2015 , 39 ( 9 ): 2565 - 2570 .
FU Xu , WANG Xifan . A corrective control method considering load stochastic characteristic [J]. Transactions of China Electrotechnical Society , 2008 , 23 ( 1 ): 114 - 119 .
RABIEE A , SOROUDI A , MOHAMMADI-IVATLOO B , et al . Corrective voltage control scheme considering demand response and stochastic wind power [J]. IEEE Transactions on Power Systems , 2014 , 29 ( 6 ): 2965 - 2973 .
ROALD L , MISRA S , KRAUSE T , et al . Corrective control to handle forecast uncertainty: a chance constrained optimal power flow [J]. IEEE Transactions on Power Systems , 2017 , 32 ( 2 ): 1626 - 1637 .
ZHANG Shang , GU Xueping , WANG Tao . Static security corrective control method of wind power-integrated system based on distributional robust optimization [J]. Electric Power Automation Equipment , 2019 , 39 ( 2 ): 58 - 64 .
MA Xiyuan . Scenario analysis and stochastic programming of wind-integrated power systems [D]. Wuhan : Wuhan University , 2014 .
王锡凡 . 现代电力系统分析 [M]. 北京 : 科学出版社 , 2003 .
WANG Xifan . Modern power system analysis [M]. Beijing : Science Press , 2003 .
ZHANG Xiaoping . Modeling of FACTS in power flow and optimal power flow analysis [J]. Automation of Electric Power Systems , 2005 , 29 ( 16 ): 22 - 29 .