基于纳什谈判的区域综合能源系统运行优化

doi:10.3969/j.issn.1000-7229.2020.01.014

电力建设 ›› 2020, Vol. 41 ›› Issue (1): 114-125.doi: 10.3969/j.issn.1000-7229.2020.01.014

基于纳什谈判的区域综合能源系统运行优化

耿琪1，胡炎1，何建宗2，周永言3，赵伟3

1.上海交通大学电子信息与电气工程学院，上海市 200240；2.广东电网有限责任公司东莞供电局，广东省东莞市 523000；3.广东电网有限责任公司电力科学研究院，广州市 510080

出版日期:2020-01-01
作者简介:耿琪(1995)，女，硕士研究生，主要研究方向为能源互联网；胡炎(1975)，男，副研究员，通信作者，主要研究方向为电力系统分析等；何建宗(1974)，男，博士，高级工程师，主要研究方向为电力系统及其自动化；周永言(1964)，男，硕士，高级工程师，主要研究方向为电力化学；赵伟(1981)，男，博士，高级工程师，主要研究方向为电力系统谐波抑制和无功补偿技术与应用。
基金资助:
国家重点研发计划项目(2017YFB0903202)

Optimal Operation of Integrated Community Energy System Based on Nash Bargaining

GENG Qi1，HU Yan1，HE Jianzong2，ZHOU Yongyan3，ZHAO Wei3

1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240，China；2. Dongguan Power Supply Bureau of Guangdong Power Grid Co., Ltd.，Dongguan 523000，Guangdong Province，China；3. Electric Power Research Institute of Guangdong Power Grid Co., Ltd.，Guangzhou 510080，China

Online:2020-01-01
Supported by:
This work is supported by the National Key Research and Development Program of China（No. 2017YFB0903202）.

摘要/Abstract

摘要： 基于能量路由器(energy router，ER)和公共母线的区域综合能源系统（integrated community energy system，ICES），既实现了电、热、冷等多种能源互补，也实现了区域内多个综合能源系统之间的电能互济。为提高调度的灵活性，综合能源系统同时考虑了2种热能存储方式：储热系统以及热电联供型光热电站内部储热环节。针对该系统，建立基于电能互济的区域综合能源系统运行优化模型，目标函数为最小化系统的运行成本。与非合作模式相比，综合能源系统之间的电能互济能够降低系统运行成本和CO2排放量。为保证区域综合能源系统联盟的利益在联盟参与者之间公平分配，提出纳什谈判方法。最后针对在初始联盟建立后，新系统在运行期间加入初始联盟构成新联盟的情况，提出新联盟的运行优化模型。算例仿真验证了所提运行优化模型的可行性和有效性。

关键词: 区域综合能源系统（ICES）, 能量路由器（ER）, 电能互济, 纳什谈判

Abstract: Integrated community energy system（ICES）based on energy router （ER）and common DC bus not only realizes the complementarity of many forms of energy such as electricity, heat and cooling, but also realizes the electric energy sharing among integrated energy systems in the community. In order to improve the operation flexibility, two kinds of thermal energy storage are considered in the integrated energy system: thermal storage system and thermal storage links in the combined heat and power concentrating solar power. On the basis of this system, an energy sharing based operation optimization model is established. The objective function is to minimize the operation cost of integrated community energy system. Compared with the non-cooperative mode, the energy sharing between integrated energy systems can reduce the operating cost and CO2 emissions. In order to ensure that the coalition benefits of integrated community energy system are fairly distributed among the participants in the coalition, Nash bargaining method is proposed. In addition, in view of the situation that the new participant joins the coalition after the initial coalition is established, the optimal operation model of the new coalition is proposed. A case study verifies the feasibility and effectiveness of the proposed optimal operation model.

Key words: integrated community energy system（ICES）, energy router（ER）, energy sharing, Nash bargaining

中图分类号:

TM 732

耿琪，胡炎，何建宗，周永言，赵伟. 基于纳什谈判的区域综合能源系统运行优化[J]. 电力建设, 2020, 41(1): 114-125.

GENG Qi，HU Yan，HE Jianzong，ZHOU Yongyan，ZHAO Wei. Optimal Operation of Integrated Community Energy System Based on Nash Bargaining[J]. Electric Power Construction, 2020, 41(1): 114-125.

参考文献

［1］陈聪, 沈欣炜, 夏天, 等. 计及火用效率的综合能源系统多目标优化调度方法［J］. 电力系统自动化, 2019, 43(12): 60-68, 121.
CHEN Cong, SHEN Xinwei, XIA Tian, et al. Multi-objective optimal dispatch method for integrated energy system considering exergy efficiency［J］. Automation of Electric Power Systems, 2019, 43(12): 60-68, 121.
［2］方绍凤，周任军，许福鹿，等.考虑电热多种负荷综合需求响应的园区微网综合能源系统优化运行［J/OL］.电力系统及其自动化学报, https://doi.org/10.19635/j.cnki.csu-epsa.000217.
FANG Shaofeng，ZHOU Renjun，XU Fulu，et al.Optimal operation of integrated energy system for park micro grid considering comprehensive response of electric and thermal loads［J/OL］. Proceedings of the CSU-EPSA, https://doi.org/10.19635/j.cnki.csu-epsa.000217.
［3］邓明辉, 蒋云松, 颜科科, 等. 电力用户侧参与的综合能源系统优化调度［J］. 电力系统及其自动化学报, 2019, 31(5): 49-56.
DENG Minghui, JIANG Yunsong, YAN Keke, et al. Optimal scheduling for integrated energy system with power user-side participation［J］. Proceedings of the CSU-EPSA, 2019, 31(5): 49-56.
［4］徐业琰, 廖清芬, 刘涤尘, 等. 基于综合需求响应和博弈的区域综合能源系统多主体日内联合优化调度［J］. 电网技术, 2019, 43(7): 2506-2518.
XU Yeyan, LIAO Qingfen, LIU Dichen, et al. Multi-player intraday optimal dispatch of integrated energy system based on integrated demand response and games［J］. Power System Technology, 2019, 43(7): 2506-2518.
［5］雍静，赵瑾，郇嘉嘉，等.基于混沌增强烟花算法的多能源系统并网优化调度［J］. 电网技术, 2019, 43(10): 3725-3732.
YONG Jing, ZHAO Jin, HUAN Jiajia, et al. Multi-energy system optimal dispatch based on chaos enhanced firework algorithm in grid connection［J］.Power System Technology, 2019, 43(10): 3725-3732.
［6］王皓, 艾芊, 甘霖, 等. 基于多场景随机规划和MPC的冷热电联合系统协同优化［J］. 电力系统自动化, 2018, 42(13): 51-58.
WANG Hao, AI Qian, GAN Lin, et al. Collaborative optimization of combined cooling heating and power system based on multi-scenario stochastic programming and model predictive control［J］. Automation of Electric Power Systems, 2018, 42(13): 51-58.
［7］张宇帆, 艾芊, 郝然, 等. 基于机会约束规划的楼宇综合能源系统经济调度［J］. 电网技术, 2019, 43(1): 108-116.
ZHANG Yufan, AI Qian, HAO Ran, et al. Economic dispatch of integrated energy system at building level based on chance constrained programming［J］. Power System Technology, 2019, 43(1): 108-116.
［8］张儒峰, 姜涛, 李国庆, 等. 考虑电转气消纳风电的电-气综合能源系统双层优化调度［J］. 中国电机工程学报, 2018, 38(19): 5668-5678, 5924.
ZHANG Rufeng, JIANG Tao, LI Guoqing, et al. Bi-level optimization dispatch of integrated electricity-natural gas systems considering P2G for wind power accommodation［J］. Proceedings of the CSEE, 2018, 38(19): 5668-5678, 5924.
［9］王瑾然, 卫志农, 张勇, 等. 计及不确定性的区域综合能源系统日前多目标优化调度［J］. 电网技术, 2018, 42(11): 3496-3506.
WANG Jinran, WEI Zhinong, ZHANG Yong, et al. Multi-objective optional day-ahead dispatching for regional integrated energy system considering uncertainty［J］. Power System Technology, 2018, 42(11): 3496-3506.
［10］魏震波, 黄宇涵, 高红均, 等. 含电转气和热电解耦热电联产机组的区域能源互联网联合经济调度［J］. 电网技术, 2018, 42(11): 3512-3520.
WEI Zhenbo, HUANG Yuhan, GAO Hongjun, et al. Joint economic scheduling of power-to-gas and thermoelectric decoupling CHP in regional energy Internet［J］. Power System Technology, 2018, 42(11): 3512-3520.
［11］朱兰, 王吉, 唐陇军, 等. 计及电转气精细化模型的综合能源系统鲁棒随机优化调度［J］. 电网技术, 2019, 43(1): 116-126.
ZHU Lan, WANG Ji, TANG Longjun, et al. Robust stochastic optimal dispatching of integrated energy systems considering refined power-to-gas model［J］. Power System Technology, 2019, 43(1): 116-126.
［12］王婉璐, 杨莉, 王蕾, 等. 考虑供热网储热特性的电-热综合能源系统优化调度［J］. 电力系统自动化, 2018, 42(21): 45-55.
WANG Wanlu, YANG Li, WANG Lei, et al. Optimal dispatch of integrated electricity-heat energy system considering heat storage characteristics of heating network［J］. Automation of Electric Power Systems, 2018, 42(21): 45-55.
［13］黄伟, 葛良军, 华亮亮, 等. 参与双重市场的区域综合能源系统日前优化调度［J］. 电力系统自动化, 2019, 43(12): 68-82.
HUANG Wei, GE Liangjun, HUA Liangliang, et al. Day-ahead optimal scheduling of regional integrated energy system participating in dual market［J］. Automation of Electric Power Systems, 2019, 43(12): 68-82.
［14］史佳琪, 胡浩, 张建华. 计及多个独立运营商的综合能源系统分布式低碳经济调度［J］. 电网技术, 2019, 43(1): 127-136.
SHI Jiaqi, HU Hao, ZHANG Jianhua. Distributed low-carbon economy scheduling for integrated energy system with multiple individual energy-hubs［J］. Power System Technology, 2019, 43(1): 127-136.
［15］李晓露，单福州，宋燕敏，等.考虑热网约束和碳交易的多区域综合能源系统优化调度［J］.电力系统自动化, 43(19): 52-59, 131.
LI Xiaolu, SHAN Fuzhou, SONG Yanmin, et al. Optimal dispatch of multi-region integrated energy systems considering heating network constraints and carbon trading［J］. Automation of Electric Power Systems, 43(19): 52-59, 131.
［16］耿琪, 胡炎, 何建宗, 等. 含电力电子变压器的交直流混合电网最优潮流［J］. 电网技术, 2019, 43(9): 3288-3296.
GENG Qi, HU Yan, HE Jianzong, et al. Optimal power flow for hybrid AC/DC grid with power electronic transformer［J］. Power System Technology, 2019, 43(9): 3288-3296.
［17］WU L, SHAHIDEHPOUR M, LI T. Stochastic security-constrained unit commitment［J］. IEEE Transactions on Power Systems, 2007, 22(2): 800-811.
［18］LIU Y, GOOI H B, XIN H. Distributed energy management for the multi-microgrid system based on ADMM［C］//2017 IEEE Power & Energy Society General Meeting (PESGM). Chicago: IEEE, 2017.
［19］GJERDRUM J, SHAH N, PAPAGEORGIOU L G. Transfer prices for multienterprise supply chain optimization［J］. Industrial & Engineering Chemistry Research, 2001, 40(7): 1650-1660.

[1]	李琳，徐晶，林威，穆云飞，靳小龙，贾宏杰，余晓丹，杜丽佳，原凯. 考虑随机性的区域综合能源系统多目标日前优化调度方法[J]. 电力建设, 2018, 39(12): 39-46.
[2]	张弛，唐庆华，严玮，魏菊芳，侯恺，王越，何哲. 基于粒子群-内点混合优化算法的区域综合能源系统可靠性评估[J]. 电力建设, 2017, 38(12): 104-.
[3]	于波，吴亮，卢欣，张鹏. 区域综合能源系统优化调度方法[J]. 电力建设, 2016, 37(1): 70-76.

基于纳什谈判的区域综合能源系统运行优化

Optimal Operation of Integrated Community Energy System Based on Nash Bargaining

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