首页 | 本学科首页   官方微博 | 高级检索  
     

包含多投资主体的综合能源系统容量配置
引用本文:侯健敏,丁苏云,余威杰,徐志豪,李志,孟莹.包含多投资主体的综合能源系统容量配置[J].南京信息工程大学学报,2023,15(6):703-711.
作者姓名:侯健敏  丁苏云  余威杰  徐志豪  李志  孟莹
作者单位:南京信息工程大学 自动化学院, 南京, 210044;南京信息工程大学 大气环境与装备技术协同创新中心, 南京, 210044
基金项目:国家自然科学基金(71503136)
摘    要:包含风电、光伏等新能源的综合能源系统以实现电、热、冷等多能互补供能而备受关注.当多个投资者作为独立主体参与综合能源系统运营时,如何对各设备进行合理的容量配置,以更好地消纳新能源和实现各投资主体的利益最大化,是值得关注的问题.本文基于博弈论的纳什均衡原理,针对由风电设备、光伏设备以及冷热电联供设备3个投资者组成的综合能源系统,构建容量配置博弈模型,并采用粒子群算法(PSO)进行求解.在非博弈、非合作博弈以及合作博弈3种不同场景下的对比分析结果表明,在合作博弈场景下,各方投资者收益相对最大、容量配置相对最小,系统具有最大的整体收益,各参与者有明显的合作可能性.研究结果为多方参与供能市场提供了解决思路.

关 键 词:综合能源系统  容量配置  系统优化  合作博弈
收稿时间:2022/2/23 0:00:00

Capacity allocation of integrated energy system involving multiple investors
HOU Jianmin,DING Suyun,YU Weijie,XU Zhihao,LI Zhi,MENG Ying.Capacity allocation of integrated energy system involving multiple investors[J].Journal of Nanjing University of Information Science & Technology,2023,15(6):703-711.
Authors:HOU Jianmin  DING Suyun  YU Weijie  XU Zhihao  LI Zhi  MENG Ying
Affiliation:School of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China;Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China
Abstract:Energy system integrated new energies such as wind power and photovoltaic to achieve complementary energy supply of electricity, heat and cold has attracted much concern.When multiple investors are involved in the operation of integrated energy system as independent subjects, it is worthwhile to reasonably allocate the capacity to better absorb new energy and maximize the interests of each investor.Based on the Nash equilibrium principle of game theory, this study establishes a capacity allocation game model for the integrated energy system composed of wind power, photovoltaic, and a combined cooling heating and power system, and uses Particle Swarm Optimization (PSO) algorithm to solve it.The comparative analysis of three scenarios including non-game, non-cooperative game and cooperative game shows that in the cooperative game scenario, the system generates optimal results in investors'' return, capacity allocation, and overall system return, thus each participant has obvious possibility to cooperate.This study provides a solution for multi-party participation in the energy supply market.
Keywords:integrated energy system (IES)  capacity allocation  system optimization  cooperative game
点击此处可从《南京信息工程大学学报》浏览原始摘要信息
点击此处可从《南京信息工程大学学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号