摘要
考虑综合能源系统实际情况,提出了一种基于改进非支配排序遗传算法(NSGA-Ⅱ)的综合能源多主体利益均衡优化调度方法。将综合能源系统分为三大主体,分别为综合能源服务商、可再生能源拥有者以及用户,引入综合需求响应、储能、储热等能量枢纽技术的数学模型,并结合电动汽车响应模型,从多主体利益均衡角度出发构造了综合能源多主体优化调度模型。以主体间利益均衡为目标,采用基于超平面投影的非支配排序遗传算法对模型进行求解,得到最优Pareto前沿,并利用逼近理想解法寻得各机组最优出力分布,通过仿真对比说明了所提模型的有效性与实用性。
As for an integrated energy system,a multi-agent interest balance optimization scheduling model based on improved NSGA-Ⅱ(Non-dominated Sorting Genetic Algorithm-Ⅱ)is developed.The integrated energy system is divided into three agents:integrated energy service providers,renewable energy owners and con⁃sumers.The mathematical model of energy hub technology that includes integrated demand response,energy storage and heat storage is introduced.Combined with the demand response service provided by electric vehicles,a multi-agent optimization scheduling model of an integrated energy system is developed that con⁃siders multi-agent interest balance.To balance the interests between each agent,the NSGA-Ⅱbased on hyperplane projection is employed to solve the multi-agent model,and the optimal Pareto frontier is obtained.The optimal distribution of each unit is obtained from an approach that gradually approximates the ideal solution.Simulative results validate that the proposed model is effective and applicable.
作者
江岳春
曾诚玉
郇嘉嘉
谭作云
余梦泽
JIANG Yuechun;ZENG Chengyu;HUAN Jiajia;TAN Zuoyun;YU Mengze(College of Electrical and Information Engineering,Hunan University,Changsha 410082,China;Power System Planning Research Center of Guangdong Power Grid Co.,Ltd.,Guangzhou 510080,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2020年第7期17-23,共7页
Electric Power Automation Equipment
基金
国家自然科学基金资助项目(5197070128)
中国南方电网公司科技项目(GD-KJQQ-20161202)。
作者简介
江岳春(1965-),男,湖南长沙人,副教授,博士,主要研究方向为多能互补、电力市场及技术支持系统等(E-mail:jychncs@sina.com);通信作者:曾诚玉(1995-),男,湖南郴州人,硕士研究生,主要研究方向为综合能源系统、电力市场等(E-mail:zcytracy@hnu.edu.cn);郇嘉嘉(1983-),女,山东淄博人,高级工程师,博士,主要研究方向为电力系统规划、综合能源系统等(E-mail:winnie5983@126.com)。
