多运营主体微电网日前经济优化调度纳什议价方法

doi:10.11930/j.issn.1004-9649.201905076

中国电力 ›› 2019, Vol. 52 ›› Issue (11): 19-27,117.DOI: 10.11930/j.issn.1004-9649.201905076

• 分布式能源系统与综合需求响应互动机制关键技术 • 上一篇下一篇

多运营主体微电网日前经济优化调度纳什议价方法

吴鸣¹, 寇凌峰¹, 张进², 胡存刚^2,3

1. 中国电力科学研究院有限公司, 北京 100192;
2. 安徽大学电气工程与自动化学院, 安徽合肥 230601;
3. 教育部电能质量工程研究中心(安徽大学), 安徽合肥 230601

收稿日期:2019-05-15 修回日期:2019-08-21 出版日期:2019-11-05 发布日期:2019-11-05
通讯作者: 张进(1994-),男,通信作者,硕士研究生,从事电力系统控制与保护、电力市场研究,E-mail:2990311176@qq.com
作者简介:吴鸣(1981-),男,博士,高级工程师,从事分布式供电、交直流混合微电网运行控制及评价研究,E-mail:wuming@epri.sgcc.com.cn;胡存刚(1978-),男,博士,教授,从事新能源微电网,多电平变换器等研究,E-mail:hucungang@163.com
基金资助:
国家重点研发计划资助项目（2016YFB0900400）；国家电网公司科技项目（能源互联网环境下的多主体多能虚拟电厂关键技术研究与示范应用）

A Day-Ahead Nash Bargaining Method for Economic Dispatch of the Multi-operator Micro-grid

WU Ming¹, KOU Lingfeng¹, ZHANG Jin², HU Cungang^2,3

1. China Electric Power Research Institute, Beijing 100192, China;
2. School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China;
3. Research Center of Power Quality (Anhui University), Ministry of Education, Hefei 230601, China

Received:2019-05-15 Revised:2019-08-21 Online:2019-11-05 Published:2019-11-05
Supported by:
This work is supported by National Key R&D Plan of China (No.2016YFB0900400) and the Science and Technology Project of SGCC (Research and Demonstration of Key Technologies of Multi-agent Multi-energy Virtual Power Plant under the Environment of Energy Internet)

摘要/Abstract

摘要： 在开放的电力市场环境下，微电网内部各运营主体间可进行电能交易。以微电网内部各运营主体与配电网单独交易时的成本作为谈判破裂点，提出了一种基于合作博弈理论的多运营主体微电网日前经济调度纳什议价方法，该方法可在使各运营主体获得帕累托最优成本的同时实现微电网系统的成本最小化。依据该方法建立的纳什议价模型为非凸非线性模型，不易直接求解，将其分解成两个凸的子模型并采用ADMM算法依次求解以起到保护运营主体隐私的作用。仿真给出了议价前后微电网内部各运营主体的成本对比，并进一步分析了孤岛模式下多运营主体间的纳什议价策略。

关键词: 微电网, 多运营主体, 合作博弈, 纳什议价解, 交替方向乘子法

Abstract: In the deregulated electricity market environment, the power trading can be carried out among the operators in the micro-grids. In this paper, we take the cost of individual transactions between operators in a micro-grid and power distribution network as the disagreement point of bargaining, and propose a day-ahead economic dispatching Nash bargaining method for multi-operators in micro-grids based on Nash cooperative game theory. This method can minimize the cost of micro-grid systems while each operator obtains Pareto optimal cost. The Nash bargaining model based on this method is a non-convex and non-linear model, which is not easy to solve directly. This paper decomposes the Nash bargaining model into two convex sub-models and uses ADMM algorithm to solve them sequentially in order to protect the privacy of operators. The simulation gives the cost comparison of each operation agent in the micro-grids before and after the bargaining, and further analyses the Nash bargaining strategy among multi-operators in the island mode.

Key words: micro-grid, multi-operator, cooperative game, Nash bargaining solution, alternating direction method of multipliers

中图分类号:

TM73

吴鸣, 寇凌峰, 张进, 胡存刚. 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 Ming, KOU Lingfeng, ZHANG Jin, HU Cungang. A Day-Ahead Nash Bargaining Method for Economic Dispatch of the Multi-operator Micro-grid[J]. Electric Power, 2019, 52(11): 19-27,117.

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参考文献

[1] 杨新法, 苏剑, 吕志鹏, 等. 微电网技术综述[J]. 中国电机工程学报, 2014, 34(1):57-70 YANG Xinfa, SU Jian, LV Zhipeng, et al. Overview on micro-grid technology[J]. Proceedings of the CESS, 2014, 34(1):57-70
[2] YU Zheng, YUE Song, DAVID JH, et al. Multiagent system based microgrid energy management via asynchronous consensus ADMM[J]. IEEE Transactions on Energy Conversion, 2018, 33(2):886-888.
[3] WANG Z G, WU W C, ZHANG B M. A distributed control method with minimum generation cost for DC microgrids[J]. IEEE Transactions on Energy Conversion, 2016, 31(4):1462-1470.
[4] 史开拓, 刘念, 张建华, 等. 多运营主体的微电网随机匹配交易机制[J]. 电网技术, 2016, 40(2):587-594 SHI Kaituo, LIU Nian, ZHANG Jianhua, et al. Random matching trading mechanism in microgrid of multi-operators[J]. Power System Technology, 2016, 40(2):587-594
[5] 米阳, 李战强, 吴彦伟, 等. 基于两级需求响应的并网微电网双层优化调度[J]. 电网技术, 2018, 42(6):1899-1906 MI Yang, LI Zhanqiang, WU Yanwei, et al. Bi-layer optimal dispatch of grid-connected microgrid based on two-stage demand response[J]. Power System Technology, 2018, 42(6):1899-1906
[6] 刘一欣, 郭力, 王成山. 微电网两阶段鲁棒优化经济调度方法[J]. 中国电机工程学报, 2018, 38(14):4013-4022, 4307 LIU Yixin, GUO Li, WANG Chengshan. Economic dispatch of microgrid based on two stage robust optimization[J]. Proceedings of the CESS, 2018, 38(14):4013-4022, 4307
[7] ZHANG Z, WANG J, DING T, et al. A two-layer model for microgrid real-time dispatch based on energy storage system charging/discharging hidden costs[J]. IEEE Transactions on Sustainable Energy, 2017, 8(1):33-42.
[8] 李晨迪, 陈渊睿, 曾君, 等. 基于非合作博弈的微电网能量管理系统优化算法[J]. 电网技术, 2016, 40(2):387-395 LI Chendi, CHEN Yuanrui, ZENG Jun, et al. Research on optimization algorithm of microgrid energy management system based on non-cooperative game theory[J]. Power System Technology, 2016, 40(2):387-395
[9] 左坤雨, 刘友波, 向月, 等. 基于信息互动的分布式可再生能源多代理交易竞价模型[J]. 电网技术, 2017, 41(8):2477-2486 ZUO Kunyu, LIU Youbo, XIANG Yue, et al. Multi-agent transaction bidding model for distributed renewable energy based on information interaction[J]. Power System Technology, 2017, 41(8):2477-2486
[10] 王健, 周念成, 王强钢, 等. 基于区块链和连续双向拍卖机制的微电网直接交易模式及策略[J]. 中国电机工程学报, 2018, 38(17):5072-5084, 5304 WANG Jian, ZHOU Niancheng, WANG Qianggang, et al. Electricity direct transaction mode and strategy in microgrid based on blockchain and continuous double auction mechanism[J]. Proceedings of the CESS, 2018, 38(17):5072-5084, 5304
[11] 林俊豪, 古雄文, 马丽. 基于优化调度的用户侧电池储能配置及控制方法[J]. 储能科学与技术, 2018, 7(1):90-99 LIN Junhao, GU Xiongwen, MA Li. Optimal sizing and control of demand-side battery energy storage system[J]. Energy Storage Science and Technology, 2018, 7(1):90-99
[12] 刘畅, 徐玉杰, 张静, 等. 储能经济性研究进展[J]. 储能科学与技术, 2017, 6(5):1084-1093 LIU Chang, XU Yujie, ZHANG Jing, et al. Research progress in economic study of energy storage[J]. Energy Storage Science and Technology, 2017, 6(5):1084-1093
[13] 何永秀, 宋栋, 夏天, 等. 基于合作博弈论的常规能源与新能源发电权置换交易模式研究[J]. 电网技术, 2017, 41(8):2485-2490 HE Yongxiu, SONG Dong, XIA Tian, et al. Mode of generation right trade between renewable energy and conventional energy based on cooperative game theory[J]. Power System Technology, 2017, 41(8):2485-2490
[14] NASH J F. The bargaining problem[J]. Econometrica, 1950, 18(2):155-162.
[15] 陈峰. 均值不等式在求最值中的运用[J]. 数学之友, 2019, 2:76-77, 81
[16] 欧阳聪, 刘明波, 林舜江, 等. 采用同步型交替方向乘子法的微电网分散式动态经济调度算法[J]. 电工技术学报, 2017, 32(5):134-142 OUYANG Cong, LIU Mingbo, LIN Shunjiang, et al. Decentralized dynamic economic dispatch algorithm of microgrids using synchronous alternating direction method of multipliers[J]. Transactions of China Electrotechnical Society, 2017, 32(5):134-142

多运营主体微电网日前经济优化调度纳什议价方法

A Day-Ahead Nash Bargaining Method for Economic Dispatch of the Multi-operator Micro-grid

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多运营主体微电网日前经济优化调度纳什议价方法

A Day-Ahead Nash Bargaining Method for Economic Dispatch of the Multi-operator Micro-grid

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