电子科技 ›› 2021, Vol. 34 ›› Issue (4): 52-58.doi: 10.16180/j.cnki.issn1007-7820.2021.04.009

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基于博弈论的含DG配电网动态重构研究

王玉梅,杨文亮   

  1. 河南理工大学 电气工程学院,河南 焦作 454150
  • 收稿日期:2020-12-28 出版日期:2021-04-15 发布日期:2021-04-16
  • 作者简介:王玉梅(1963-),女,教授。研究方向:电力系统和供电技术。|杨文亮(1994-),男,硕士研究生。研究方向:电力系统及其自动化。
  • 基金资助:
    国家自然科学基金青年基金(61403130)

Research on Dynamic Reconfiguration of Distribution Network with DG Based on Game Theory

WANG Yumei,YANG Wenliang   

  1. School of Electrical Engineering,Henan Polytechnic University,Jiaozuo 454003,China
  • Received:2020-12-28 Online:2021-04-15 Published:2021-04-16
  • Supported by:
    YouthFund of National Natural Science Foundation of China(61403130)

摘要:

文中针对含DG配电网的清洁能源输出功率消纳问题进行了研究。采用多目标的合作博弈对配电网划分的各个时段进行重构。在以多个重构目标为博弈者进行合作博弈的基础上,建立多目标动态重构模型。以模拟退火法思想改进后的果蝇寻优算法路交换法对该模型进行求解,得到每个时段上的最优解,再根据时段划分得到研究对象的最优动态重构方案。此外,对含有风力发电站和光伏发电站的IEEE33节点配电系统做了算例仿真,得到了兼顾运行成本和清洁能源利用率的配电网最优动态重构方案。该方案使得整个重构过程中只需动作14次,网络损耗减少31%且DG消纳量增加了115%,证明了提出的数学模型及解题方案的有效性。

关键词: 博弈论, 果蝇寻优算法, 模拟退火法, 多目标重构, 有源配电网, 全局寻优思想, 清洁能源消纳量, 合作博弈

Abstract:

In this study, the problem of clean energy output power dissipation in distribution network with DG in invertigated. The multi-objective cooperative game is used to reconstruct the distribution network in each period. A multi-objective dynamic reconstruction model is established on the basis of cooperative games with multiple reconstruction targets as players. The model is solved by the route exchange method of the drosophila optimization algorithm improved by the idea of simulated annealing method to obtain the optimal solution in each time period, and then the most dynamic reconstruction scheme of the research object is obtained according to the time period division.The IEEE33-node power distribution system including wind power station and photovoltaic power station is simulated, and the optimal dynamic reconfiguration scheme of power distribution network considering both operation cost and clean energy utilization rate is obtained. During the whole reconfiguration process, only 14 actions are taken, the network loss is reduced by 31% and the DG consumption is increased by 115%, which verifies the effectiveness of the proposed mathematical model and solution scheme.

Key words: game theory, drosophila optimization algorithm, simulated annealing, multi-objective reconstruction, active power distribution network, global optimization idea, consumption of clean energy, cooperative game

中图分类号: 

  • TP183