P2P模式下产消者交易模型建立与仿真验证

doi:10.11930/j.issn.1004-9649.201907108

中国电力 ›› 2019, Vol. 52 ›› Issue (11): 44-50.DOI: 10.11930/j.issn.1004-9649.201907108

• 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

P2P模式下产消者交易模型建立与仿真验证

胡洋¹, 周长城¹, 马溪原¹, 袁智勇¹, 雷金勇¹, 田兵¹, 单俊嘉², 胡俊杰²

1. 南方电网科学研究院, 广东广州 510663;
2. 新能源电力系统国家重点实验室(华北电力大学), 北京 102206

收稿日期:2019-07-12 修回日期:2019-07-22 出版日期:2019-11-05 发布日期:2019-11-05
通讯作者: 胡俊杰(1986-),男,通信作者,博士,副教授,从事新能源电力系统及微网研究,E-mail:junjiehu@ncepu.edu.cn
作者简介:胡洋(1992-),男,硕士,工程师,从事新能源与微电网技术研究,E-mail:huyang1@csg.cn
基金资助:
南方电网公司科技项目（ZBKJXM20180131）；国家自然科学基金资助项目（51877078）。

Establishment and Simulation of Prosumers Transaction Model in P2P Mode

HU Yang¹, ZHOU Changcheng¹, MA Xiyuan¹, YUAN Zhiyong¹, LEI Jinyong¹, TIAN Bing¹, SHAN Junjia², HU Junjie²

1. Electric Power Research Institute, CSG, Guangzhou 510663, China;
2. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China

Received:2019-07-12 Revised:2019-07-22 Online:2019-11-05 Published:2019-11-05
Supported by:
This work is supported by the Science and Technology Projects of China Southern Power Grid (No.ZBKJXM20180131) and the National Natural Science Foundation of China (No.51877078)

摘要/Abstract

摘要： 随着新电改环境下售电侧放开，越来越多的产消者资源愿意参与到电力市场中以减少自身的用电开支，如何在P2P（peer-to-peer）交易模式下制定产消者购售电模型成为一个亟待解决的问题。首先，以含光伏（photovoltaic, PV），微型燃气轮机和固定负荷资源组成的多个产消者集群为研究对象，建立了产消者资源约束模型。其次，采用拉格朗日对偶分解原理和次梯度法以产消者运行成本最小为目标制定了基于P2P市场交易模式的产消者购售电计划。在保证用户的信息安全的同时实现了产消者之间的P2P电能共享。最后通过算例验证了所提策略的合理性和有效性。

关键词: 产消者, 拉格朗日对偶分解, 次梯度法, P2P电能共享, 电力市场

Abstract: With the liberalization of the electricity selling side in the new electricity reform environment, more and more prosumers are willing to participate in the electricity market to reduce their own electricity consumption expenditure. How to develop the electricity purchasing and selling model for prosumers under the P2P trading mode has become an urgent problem. Firstly, the paper proposes the prosumer resource models for photovoltaic (PV), micro-gas turbine and fixed load resource clusters, respectively. Secondly, lagrange duality decomposition principle and sub-gradient method are adopted to develop the electricity purchase and sale plan for prosumers based on the P2P market transaction mode with the objective of minimizing the operating cost of prosumers, by which the P2P power sharing between prosumers can be realized. Finally, an example is given to verify the rationality and effectiveness of the proposed strategy.

Key words: prosumer, lagrange dual decomposition, sub-gradient method, P2P energy sharing, electricity market

中图分类号:

TM73

胡洋, 周长城, 马溪原, 袁智勇, 雷金勇, 田兵, 单俊嘉, 胡俊杰. P2P模式下产消者交易模型建立与仿真验证[J]. 中国电力, 2019, 52(11): 44-50.

HU Yang, ZHOU Changcheng, MA Xiyuan, YUAN Zhiyong, LEI Jinyong, TIAN Bing, SHAN Junjia, HU Junjie. Establishment and Simulation of Prosumers Transaction Model in P2P Mode[J]. Electric Power, 2019, 52(11): 44-50.

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https://www.electricpower.com.cn/CN/Y2019/V52/I11/44

参考文献

[1] 董福贵, 张也, 尚美美. 分布式能源系统多指标综合评价研究[J]. 中国电机工程学报, 2016, 36(12):3214-3223 DONG Fugui, ZHANG Ye, SHANG Meimei. Multi-criteria comprehensive evaluation of distributed energy system[J]. Proceedings of the CSEE, 2016, 36(12):3214-3223
[2] 陈颖, 江曦源, 于智同, 等. 区域配电网内分布式电源和负载联盟交易模式设计和分析[J]. 电力系统自动化, 2017, 41(14):78-86 CHEN Ying, JIANG Xiyuan, YU Zhitong, et al. Design and analysis of distributed power supply and load alliance transaction mode in regional distribution network[J]. Automation of Electric Power Systems, 2017, 41(14):78-86
[3] 刘伟国. 基于配售分开的竞争性电力市场设计研究[D]. 北京:华北电力大学, 2007. LIU Weiguo. Study on design of competitive power market based on the seperation of netail from power grid[D]. Beijing:North China Electric Power University, 2007.
[4] LUNA A C, DIAZ N L, GRAELLS M, et al. Cooperative energy management for a cluster of households prosumers[J]. IEEE Transactions on Consumer Electronics, 2016, 62(3):235-242.
[5] YOO Y, WANG T H, KANG S, et al, Peer-to-peer based energy trading system for heterogeneous small-scale DERs[C]//International Conference on Information and Communication Technology Convergence (ICTC), 2017:813-816.
[6] GUERRERO J, CHAPMAN A C, VERBIČ G, Decentralized P2P energy trading under network constraints in a low-voltage network[J]. IEEE Transactions on Smart Grid, 2019, 10(5):5163-5173.
[7] 陈启鑫, 王克道, 陈思捷, 等. 面向分布式主体的可交易能源系统:体系架构、机制设计与关键技术[J]. 电力系统自动化, 2018, 42(3):1-7, 31 CHEN Qixin, WANG Kedao, CHEN Sijie, et al. Transactive energy system for distributed agents:architecture, mechanism design and key technologies[J]. Automation of Electric Power Systems, 2018, 42(3):1-7, 31
[8] 刘孝杰, 苏小林, 阎晓霞, 等. 面向主动需求响应和售电市场的主动配电系统运营体系[J]. 中国电力, 2017, 50(7):19-27 LIU Xiaojie, SU Xiaolin, YAN Xiaoxia, et al. Active distribution system operating system for active demand response and selling market[J]. Electric Power, 2017, 50(7):19-27
[9] 孔祥玉, 曾意, 陆宁, 等. 基于多智能体竞价均衡的微电网优化运行方法[J]. 中国电机工程学报, 2017, 37(6):1626-1634 KONG Xiangyu, ZENG Yi, LU Ning, et al. Optimal bidding management for agent-based microgrid operation[J]. Proceedings of the CSEE, 2017, 37(6):1626-1634
[10] HUANG S, WU Q, OREN S S, et al. Distribution locational marginal pricing through quadratic programming for congestion management in distribution networks[J]. IEEE Transactions on Power Systems, 2015, 30(4):2170-2178.
[11] 刘凡, 别朝红, 刘诗雨, 等. 能源互联网市场体系设计、交易机制和关键问题[J]. 电力系统自动化, 2018, 42(13):108-117 LIU Fan. BIE Chaohong, LIU Shiyu, et al. Energy internet market system design, trading mechanism and key issues[J]. Automation of Electric Power Systems, 2018, 42(13):108-117
[12] 吴界辰, 艾欣, 张艳, 等. 配售分离环境下高比例分布式能源园区电能日前优化调度[J]. 电网技术, 2018, 42(6):1709-1719 WU Jiechen, AI Xin, ZHANG Yan, et al. Day-ahead optimal schedule for high penetration of distributed energy resources in community under seperated distribution and retail operational environment[J]. Power System Technology, 2018, 42(6):1709-1719
[13] 任洪波, 吴琼, 刘家明. 耦合区域售电服务的分布式能源产消者经济优化与能效评估[J]. 中国电机工程学报, 2018, 38(13):3756-3766, 4017 REN Hongbo, WU Qiong, LIU Jiaming. Economic optimization and energy assessment of distributed energy prosumer coupling local electricity retailing services[J]. Proceedings of the CSEE, 2018, 38(13):3756-3766, 4017
[14] 刘念, 王程, 雷金勇. 市场模式下光伏用户群的电能共享与需求响应模型[J]. 电力系统自动化, 2016, 40(16):49-55, 131 LIU Nian, WANG Cheng, LEI Jinyong. Power energy sharing and demand response model for photovoltaic prosumer cluster under market environment[J]. Automation of Electric Power Systems, 2016, 40(16):49-55, 131
[15] 平健, 陈思捷, 张宁, 等. 基于智能合约的配电网去中心化交易机制[J]. 中国电机工程学报, 2017, 37(13):3682-3690 PING Jian, CHEN Sijie, ZHANG Ning, et al. Decentralized transactive mechanism in distribution network based on smart contract[J]. Proceedings of the CSEE, 2017, 37(13):3682-3690
[16] 王皓, 艾芊, 吴俊宏, 等. 基于交替方向乘子法的微电网群双层分布式调度方法[J]. 电网技术, 2018, 42(6):1718-1727 WANG Hao, AI Qian, WU Junhong, et al. Bi-level distributed optimization for microgrid clusters based on alternating direction method of multipliers[J]. Power System Technology, 2018, 42(6):1718-1727
[17] 杨晚生, 郭开华. 微型燃气轮机冷热电联供系统的热经济性分析[J]. 暖通空调, 2012, 42(1):80-83 YANG Wansheng, GUO Kaihua. Thermal economic analysis on CCHP system based on micro-turbines[J]. Heating Ventilating & Air Conditioning, 2012, 42(1):80-83
[18] HELD M, WOLFE P, CROWDER H P. Validation of subgradient optimization[J]. Mathematical Programming, 1974, 6(1):62-88.
[19] BOYO L, VANDENBERGHE L, FAYBUSOVICH L. Convex optimization[J]. IEEE Transactions on Automatic Control, 2006, 51(11):1859-1859.
[20] GREGORATTI D, MATAMOROS J. Distributed energy trading:the multiple-microgrid case[J]. IEEE Transactions on Industrial Electronics, 2015, 62(4):2551-2559.

P2P模式下产消者交易模型建立与仿真验证

Establishment and Simulation of Prosumers Transaction Model in P2P Mode

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P2P模式下产消者交易模型建立与仿真验证

Establishment and Simulation of Prosumers Transaction Model in P2P Mode

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