用于最小开机数判定的经典非合作博弈潮流分布模型

陈全; 董晓明; 杨明; 李海峰; 金涛; 王孟夏

doi:10.7500/AEPS20190727004

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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

学术研究 | 更新时间：2025-06-16

- 用于最小开机数判定的经典非合作博弈潮流分布模型
- Power Flow Distribution Model Based on Classical Non-cooperative Game for Determining Minimum Generator Number
- 电力系统自动化-方正平台 2020年44卷第10期页码：111-118
- 作者机构：
  
  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
- 作者简介：
  
  陈全(1995—)，男，硕士研究生，主要研究方向：电力系统运行与分析。E-mail：1654116735@qq.com
  董晓明(1980—)，男，通信作者，硕士生导师，主要研究方向：电力系统运行与分析。E-mail：dongxiaoming@sdu.edu.cn
  杨明(1980—)，男，博士，教授，博士生导师，主要研究方向：电力系统优化调度、电力系统运行与控制、电力系统运行可靠性评估、新能源预测与并网分析。
- 基金信息：
  
  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)
- DOI：10.7500/AEPS20190727004
  中图分类号：
- 收稿日期：2019-07-27，
  
  修回日期：2019-12-06，
  
  网络出版日期：2020-04-30，
  
  纸质出版日期：2020-05-25
- 稿件说明：
移动端阅览
陈全,董晓明,杨明等.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.

CHEN Quan,DONG Xiaoming,YANG Ming,et al.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.
陈全,董晓明,杨明等.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. DOI： 10.7500/AEPS20190727004.

CHEN Quan,DONG Xiaoming,YANG Ming,et al.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. DOI： 10.7500/AEPS20190727004.

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。

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.

关键词

Keywords

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