Optimization method of rural microgrid group and distribution network operation based on cooperative game

doi:10.3969/j.issn.1000-1565.2020.04.016

Abstract

Abstract: For the problem of high penetration of new energy in rural areas, the method of operation optimization of rural microgrid group and distribution network based on cooperative game theory is proposed. In order to optimize the output level, battery charge and discharge, and interruptible load of each power supply in different periods of time in the microgrid, the minimum objective function of operation cost of microgrid including wind power, photovoltaic, biogas power generation, energy storage and interruptible load is established. With the minimum operating cost of each microgrid itself as the goal, this methad can consider the complementary and load characteristics of wind, light and biogas power generation within days, establish a cooperative network of microgrid groups based on cooperative game theory, make the residual power microgrid and the power-deficit microgrid realize the interoperability of power, reduce the overall operating cost of the alliance, increase the benefit of distribution of distribution of the alliance.The shapley value method is used to distribute the cost savings of the alliance. So as to realize the- DOI:10.3969/j.issn.1000-1565.2020.04.016基于合作博弈的农村微电网群与配电网运行优化方法王涛¹,韩璟琳¹,邵华¹,贺春光¹,檀晓林¹,闫永升²(1.国网河北省电力有限公司经济技术研究院,河北石家庄 050021;2.河北农业大学机电工程学院,河北保定 071000)摘要:针对农村高渗透率新能源接纳问题,提出了基于合作博弈理论的农村微电网群与配电网运行优化方法.通过建立包含风电、光伏、沼气发电、储能和可中断负荷的微电网运行成本最小目标函数,优化微电网内不同时间段各电源的出力水平、蓄电池充放电和可中断的负荷.以各微电网自身运行成本最小为目标,考虑风、光、沼气发电日内的互补性和负荷特性,建立基于合作博弈论的微电网群合作联盟,使余电微电网与缺电微电网实现电能互用,降低联盟整体运行成本,增加配电网运营商收益.采用Shapley值法对联盟的节省成本进行分配,实现各微电网节省成本的公平分配.仿真算例证明了该方法的有效性.关键词:微电网;市场交易;合作博弈;Shapley值法中图分类号:TM73 文献标志码:A 文章编号:1000-1565(2020)04-0441-08Optimization method of rural microgrid group and distribution network operation based on cooperative gameWANG Tao¹, HAN Jinglin¹, SHAO Hua¹, HE Chunguang¹, TAN Xiaolin¹, YAN Yongsheng²(1. Institute of Economic and Technology, State Grid Hebei Electric Power Supply Co., Ltd., Shijiazhuang 050021,China; 2. College of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071000,China)Abstract: For the problem of high penetration of new energy in rural areas, the method of operation optimization of rural microgrid group and distribution network based on cooperative game theory is proposed. In order to optimize the output level, battery charge and discharge, and interruptible load of each power supply in different periods of time in the microgrid, the minimum objective function of operation cost of microgrid including wind power, photovoltaic, biogas power generation, energy storage and interruptible load is established. With the minimum operating cost of each microgrid itself as the goal, this methad can consider the complementary and load characteristics of wind, light and biogas power generation within days, establish a cooperative network of microgrid groups based on cooperative game theory, make the residual power microgrid and the power-deficit microgrid realize the interoperability of power, reduce the overall operating cost of the alliance, increase the benefit of distribution of distribution of the alliance.The shapley value method is used to distribute the cost savings of the alliance. So as to realize the- 收稿日期:2020-01-25 基金项目:国网河北省电力有限公司资助项目(SGHEJY00GHJS1900028);河北省重点研发计划项目(19226633D) 第一作者:王涛(1975—),男,河北石家庄人,国网河北省电力有限公司经济技术研究院总工程师,主要从事电网规划研究工作.E-mail:wangtao19750208@sina.com 通信作者:韩璟琳(1989—),男,河北衡水人,国网河北省电力有限公司经济技术研究院工程师,主要从事配电网规划研究.E-mail:jinglinoliver@163.com第4期王涛等:基于合作博弈的农村微电网群与配电网运行优化方法fair distribution of cost savings for each microgrid. The simulation study proves the effectiveness of this method.

Key words: microgrid, market trading, cooperative game, Shapley value method

CLC Number:

TM73

WANG Tao, HAN Jinglin, SHAO Hua, HE Chunguang, TAN Xiaolin, YAN Yongsheng. Optimization method of rural microgrid group and distribution network operation based on cooperative game[J]. Journal of Hebei University (Natural Science Edition), 2020, 40(4): 441-448.

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