基于合作-非合作博弈的光储荷网协同运行策略

王秀丽; 闫璐; 刘豹; 赵凤江; 高本锋

doi:10.19912/j.0254-0096.tynxb.2022-0574

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (5) : 128-138. DOI: 10.19912/j.0254-0096.tynxb.2022-0574

基于合作-非合作博弈的光储荷网协同运行策略

王秀丽¹, 闫璐¹, 刘豹¹, 赵凤江¹, 高本锋²

作者信息 +

COOPERATIVE OPERATIONAL STRATEGIES OF PHOTOVOLTAIC, ENERGY STORAGE, LOAD AND POWER GRID BASED ON COOPERATIVE AND NON-COOPERATIVE GAME

Wang Xiuli¹, Yan Lu¹, Liu Bao¹, Zhao Fengjiang¹, Gao Benfeng²

Author information +

文章历史 +

摘要

针对光伏发电主体与电力用户进行电力直接交易的问题,利用合作-非合作两阶段博弈理论,对光储荷组成的微网系统与电网协同运行的过程展开优化调度和协商议价两阶段的研究。第一阶段通过优化调度提高联盟收益,针对微电网运行特性搭建数学模型,采用交替方向乘子法以避免在交易过程中出现电量由于叠加作用而相互抵消的情况,利用合作博弈得到调度结果;第二阶段首先分析电价对交易模式的影响,搭建光伏发电主体与用户协商议价模型,在天牛须搜索算法的基础上进行改进,采用与自适应矩估计相结合的讨价还价模型,利用非合作博弈分配收益得到最优交易电价。最后通过算例验证模型的可行性,结果表明所搭模型在提高微网收益的同时,通过市场的引导作用提升光伏消纳水平。

Abstract

In this paper, a two-stage cooperative-noncooperative game theory is used to study the problem of the optimizing power dispatch and negotiating tariff for the cooperative operation of the microgrid system which is composed of photovoltaic power generation and power consumers. Firstly, in the first stage, the overall revenue of the alliance is improved by optimizing the power dispatch, then a mathematical model is built for the operating characteristics of the microgrid, ADMM is adopted to avoid the situation that the electric quantities cancels each other due to the effect of superposition in the trading process due to the superposition effect, and the dispatch results are obtained by using cooperative game. Secondly, in the second stage, the impact of trading tariff on the trading model is analyzed, and a bargaining model is built between photovoltaic power generation and power consumers , and the BAS algorithm is improved, a bargaining model combined with adaptive moment estimation is adopted and to the optimal trading tariff is obtained by using non-cooperative game to allocate the revenue. Finally, the feasibility of the model is verified by arithmetic examples, and the results show that the level of PV consumption can be improved by using the built model through market guidance while improving the revenue of microgrid.

导出引用

王秀丽, 闫璐, 刘豹, 赵凤江, 高本锋. 基于合作-非合作博弈的光储荷网协同运行策略[J]. 太阳能学报. 2023, 44(5): 128-138 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0574

Wang Xiuli, Yan Lu, Liu Bao, Zhao Fengjiang, Gao Benfeng. COOPERATIVE OPERATIONAL STRATEGIES OF PHOTOVOLTAIC, ENERGY STORAGE, LOAD AND POWER GRID BASED ON COOPERATIVE AND NON-COOPERATIVE GAME[J]. Acta Energiae Solaris Sinica. 2023, 44(5): 128-138 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0574

中图分类号： TM715

参考文献

[1] 国家能源局. 国家能源局发布1—10月份全国电力工业统计数据[J]. 电力勘测设计, 2021(11): 40.
National Energy Administration.National Energy Administration releases statistics on national power industry from January to October[J]. Electric power survey & design, 2021(11): 40.
[2] 徐璐, 熊天军, 杨素, 等. 计及新电改政策的配电网变化影响因素及其规划方法综述[J]. 智慧电力, 2020, 48(9): 108-117.
XU L, XIONG T J, YANG S, et al.Review of influencing factors and planning methods of distribution network changes including new electricity reform policy[J]. Smart power, 2020, 48(9): 108-117.
[3] 国家能源局. 积极推进风电和光伏发电无补贴平价上网[J]. 能源研究与利用, 2019(1): 9.
National Energy Administration.The government actively promotes the non subsidy and parity of wind power and photovoltaic power generation[J]. Energy research & utilization, 2019(1): 9.
[4] 刘畅, 卓建坤, 赵东明, 等. 利用储能系统实现可再生能源微电网灵活安全运行的研究综述[J]. 中国电机工程学报, 2020, 40(1): 1-18, 369.
LIU C, ZHUO J K, ZHAO D M, et al.A review on flexible and safe operation of renewable energy microgrid using energy storage system[J]. Proceedings of the CSEE, 2020, 40(1): 1-18, 369.
[5] 王继东, 宋启明, 李继方. 基于多智能体混沌粒子群算法的微网优化运行[J]. 可再生能源, 2022, 40(4): 513-529.
WANG J D,SONG Q M,LI J F,et al.Optimization operation of microgrid based on multi-agent chaotic particle swarm optimization[J]. Renewable energy resources, 2022, 40(4): 513-529.
[6] AZAZA M, WALLIN F.Multi objective particle swarm optimization of hybrid micro-grid system:a case study in Sweden[J]. Energy, 2017, 123(15): 108-118.
[7] 吴鸣, 寇凌峰, 张进, 等. 多运营主体微电网日前经济优化调度纳什议价方法[J]. 中国电力, 2019, 52(11): 19-27, 117.
WU M, KOU L F, ZHANG J, et al.Nash bargaining method for day-ahead economic optimal scheduling of multi-operator microgrid[J]. Electric power, 2019, 52(11): 19-27, 117.
[8] ZAKIAN P, KAVEH A.Economic dispatch of power systems using an adaptive charged system search algorithm[J]. Applied soft computing journal, 2018, 73: 607-622.
[9] AREZOO J, KAZEM Z, MOHAMMAD K L, et al.Optimized power trading of reconfigurable microgrids in distribution energy market[J]. IEEE access, 2021, 9: 48218-48235.
[10] 靳开元, 杨建华, 陈正, 等. 基于区块链的分布式光伏就地消纳交易模式研究[J]. 中国电力, 2021, 54(5): 8-16.
JIN K Y, YANG J H, CHEN Z, et al.Research on distributed photovoltaic local consumption transaction mode based on block chain[J]. Electric power, 2021, 54(5): 8-16.
[11] 程杉, 倪凯旋, 赵孟雨. 基于Stackelberg博弈的充换储一体化电站微电网双层协调优化调度[J]. 电力自动化设备, 2020, 40(6): 49-55, 69, 56-59.
CHENG S, NI K X, ZHAO M Y. Stackelberg game based two-level coordination and optimization scheduling for microgrid of integrated charging, switching and storage power station[J]. Electric power automation equipment, 2020, 40(6): 49-55, 69, 56-59.
[12] YU Z X.Alternating-offer bargaining with endogenous commitment[J]. Economics letters, 2020, 192: 109247.
[13] 王帅, 帅轩越, 王智冬, 等. 基于纳什议价方法的虚拟电厂分布式多运营主体电能交易机制[J]. 电力建设, 2022, 43(3): 141-158.
WANG S, SHUAI X Y, WANG Z D, et al.Distributed multi-operator electric energy trading mechanism of virtual power plant based on Nash bargaining method[J]. Electric power construction, 2022, 43(3): 141-158.
[14] 段佳南, 谢俊, 冯丽娜, 等. 基于合作博弈论的风-光-水-氢多主体能源系统增益分配策略[J]. 电网技术, 2022, 46(5): 1703-1712.
DUAN J N,XIE J,FENG L N,et al.Gain allocation strategy for wind-light-water-hydrogen multi-agent energy system based on cooperative game theory[J]. Power system technology, 2022, 46(5): 1703-1712.
[15] 钟永洁, 李玉平, 胡兵, 等. 基于合作博弈的能源互联网经济能效分层协同优化调度[J]. 电力自动化设备, 2022, 42(1): 55-64.
ZHONG Y J, LI Y P, HU B, et al.Hierarchical collaborative optimal scheduling of energy efficiency in energy internet economy based on cooperative game[J]. Electric power automation equipment, 2022, 42(1): 55-64.
[16] 杨铮, 彭思成, 廖清芬, 等. 面向综合能源园区的三方市场主体非合作交易方法[J]. 电力系统自动化, 2018, 42(14): 32-39, 47.
YANG Z, PENG S C, LIAO Q F, et al.Non-cooperative trading method of tripartite market entities for integrated energy park[J]. Automation of electric power systems, 2018, 42(14): 32-39, 47.
[17] 杨淑霞, 朱宪国, 彭生江. 非合作博弈模式下新能源微电网多主体成本策略优化模型[J]. 电测与仪表, 2021, 58(1): 116-123.
YANG S X, ZHU X G, PENG S J.Multi-agent cost strategy optimization model of new energy microgrid in non-cooperative game mode[J]. Electrical measurement & instrumentation, 2021, 58(1): 116-123.
[18] 武昭原, 周明, 王剑晓, 等. 双碳目标下提升电力系统灵活性的市场机制综述[J]. 中国电机工程学报, 2022, 42(21): 7746-7764.
WU Z Y,ZHOU M,WANG J X, et al.A review of market mechanisms for improving power system flexibility under dual carbon targets[J]. Proceedings of the CSEE, 2022, 42(21): 7746-7764.
[19] 《关于深化电力现货市场建设试点工作的意见》[Z]. 国家发展改革委、国家能源局.
Opinions on deepening the pilot work of electric power spot market construction[Z]. National Development and Reform commission, National Energy Administration.
[20] WANG C S, LYU C X, LI P, et al.Modeling and optimal operation of community integrated energy systems: a case study from China[J]. Applied energy, 2018, 230: 1242-1254.
[21] 国家发展改革委. 国家能源局《关于积极推进风电、光伏发电无补贴平价上网有关工作的通知》[R].北京: 国家能源局.
Notice of the national development and reform commission and the National Energy Administration on actively promoting the work of wind and photoroltaic power generation with no subsidy and offordable occess to the interuet[R]. Beijing: National Energy Administration.
[22] 芮涛, 李国丽, 王群京, 等. 配电侧多微电网日前电能交易纳什议价方法[J]. 电网技术, 2019, 43(7): 2576-2585.
RUI T, LI G L, WANG Q J, et al.Nash bargaining method of day-ahead power transaction in multi-micro grid on distribution side[J]. Power system technology, 2019, 43(7): 2576-2585.
[23] 马腾飞, 裴玮, 肖浩, 等. 基于纳什谈判理论的风-光-氢多主体能源系统合作运行方法[J]. 中国电机工程学报, 2021, 41(1): 25-39, 395.
MA T F, PEI W, XIAO H, et al.Cooperative operation method of wind-light-hydrogen multi-agent energy system based on Nash negotiation theory[J]. Proceedings of the CSEE, 2021, 41(1): 25-39, 395.
[24] ZHAO Z L, GUO J T, LUO X, et al.Energy transaction for multi-microgrids and internal microgrid based on blockchain[J]. IEEE access, 2020, 8: 144362-144372.
[25] REHMAN U U.Robust Optimization-Based energy pricing and dispatching model using DSM for smart grid aggregators to tackle price uncertainty[J]. Arabian journal for science and engineering, 2020, 45(8): 6684-6690.
[26] 赵敏, 沈沉, 刘锋, 等. 基于博弈论的多微电网系统交易模式研究[J]. 中国电机工程学报, 2015, 35(4): 848-857.
ZHAO M, SHEN C, LIU F, et al.Study on transaction mode of multi-microgrid system based on game theory[J]. Proceedings of the CSEE, 2015, 35(4): 848-857.
[27] 廖列法, 杨红. 天牛须搜索算法研究综述[J]. 计算机工程与应用, 2021, 57(12): 54-64.
LIAO L F, YANG H.Summary of longicorn whisker search algorithm[J]. Computer engineering and applications, 2021, 57(12): 54-64.
[28] KHAN A H, CAO X W, LI S, et al.BAS-ADAM: an ADAM based approach to improve the performance of beetle antennae search optimizer[J]. IEEE/CAA journal of automatica sinica, 2020, 7(2): 461-471.