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用于最小开机数判定的经典非合作博弈潮流分布模型
引用本文:陈全,董晓明,杨明,李海峰,金涛,王孟夏.用于最小开机数判定的经典非合作博弈潮流分布模型[J].电力系统自动化,2020,44(10):111-118.
作者姓名:陈全  董晓明  杨明  李海峰  金涛  王孟夏
作者单位:1.电网智能化调度与控制教育部重点实验室(山东大学),山东省济南市 250061;2.国网江苏省电力有限公司,江苏省南京市 210024
基金项目:国家电网公司总部科技项目(XT-71-18-009);国家自然科学基金资助项目(51607107);山东省自然科学基金资助项目(ZR2018MEE041)。
摘    要:在中国东部沿海地区直流供电占比逐步增加,对受端电网安全稳定运行提出了更高要求,也使得以电压稳定为目标的最小开机数判定成为新形势下需要研究的问题。首先,明确最小开机数判定优化目标,包含多层协调的非线性混合整数优化问题;其次,基于经典非合作博弈建立博弈潮流分布求解模型,同时考虑功率备用、薄弱线路、重点负荷、特殊注入功率因素对模型进行完善,将最小开机数判定优化问题转化为以计算博弈平衡为主的问题,并将博弈潮流分布模型应用于最小开机数判定并给出判定方法。最后,采用IEEE 162节点系统算例和中国山东电网实际数据判定最小开机数,通过与牛顿法的计算结果对比分析和灵敏度分析验证了博弈潮流分布模型的合理性。

关 键 词:潮流分布  经典非合作博弈论  最小开机数  电压稳定  优化转化
收稿时间:2019/7/27 0:00:00
修稿时间:2019/12/6 0:00:00

Power Flow Distribution Model Based on Classical Non-cooperative Game for Determining Minimum Generator Number
CHEN Quan,DONG Xiaoming,YANG Ming,LI Haifeng,JIN Tao,WANG Mengxia.Power Flow Distribution Model Based on Classical Non-cooperative Game for Determining Minimum Generator Number[J].Automation of Electric Power Systems,2020,44(10):111-118.
Authors:CHEN Quan  DONG Xiaoming  YANG Ming  LI Haifeng  JIN Tao  WANG Mengxia
Affiliation:1.Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University), Jinan 250061, China;2.State Grid Jiangsu Electric Power Co., Ltd, Nanjing 210024, China
Abstract:The increasing ratio of DC power supply in the eastern coastal region puts forward the higher requirements for the safe and stable operation of the receiving-end power grid. Thus, it makes the problem of determining the minimum generator number using the voltage stability as the objective is becoming the research hot topic in the new situation. Firstly, this paper proposes the optimization target for determining the minimum generator number, which can be treated as complex nonlinear and integer optimization problem. Secondly, based on the classical non-cooperative game theory, game power flow distribution model is established. At the same time, the established model is improved by considering the power capacity reserve, weak line, critical loads, and special injection power. Converting minimum generator number optimization model into calculating game balance problems, the determination method of minimum generator number is proposed. Finally, the minimum generator number is determined in the test of IEEE 162-node system and Shandong power grid of China, and the rationality of the game power flow distribution model is verified by sensitivity analysis and the comparison between the calculation results from proposed method and Newton method.
Keywords:power flow distribution  classical non-cooperative game theory  minimum generator number  voltage stability  optimization transformation
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