摘要
针对包含氢储能系统的交直流混合微网经济性问题,以微网等年值成本和交直流母线间换流损耗最低为目标,综合考虑系统的电源约束条件、功率平衡约束条件等,在需求侧引入描述用户用电行为的分时电价弹性矩阵,采用基于博弈机制和混沌映射的改进多目标粒子群优化算法(GTMOPSO)对微电网进行最优容量求解.为验证所提策略的有效性,结合某地区的风、光及交直流负荷数据求解本文所设场景下的配置容量和目标函数值.分析结果表明,所提配置方案和优化算法更具有优越性.
This research aims at the economic problems of AC-DC hybrid microgrid containing hydrogen energy storage system. We set the annual cost of microgrid and the minimum commutating loss between AC-DC busbars as the objective, and considered the power supply constraints and power balance constraints of the system comprehensively. The TOU price elasticity matrix describing user’s power consumption behavior was introduced on the demand side, and an improved multi-objective particle swarm optimization(GTMOPSO) algorithm based on game mechanism and chaos mapping was used to solve the optimal capacity of microgrid. In order to verify the effectiveness of the proposed strategy, the configured capacity and objective function values in the scenario set in this paper were solved by combining the wind, light and AC-DC load data of a certain area. The analysis results show that the proposed configuration scheme and optimization algorithm are more advantageous.
作者
焦艳丽
樊小朝
史瑞静
王维庆
刘少名
于春伟
陈军
高超
郝雁峰
JIAO Yanli;FAN Xiaochao;SHI Ruijing;WANG Weiqing;LIU Shaoming;YU Chunwei;CHEN Jun;GAO Chao;HAO Yanfeng(College of Electrical Engineering,Xinjiang University,Urumqi 830047,China;Department of New Energy Science and Engineering,Xinjiang Institute of Engineering,Urumqi 830023,China;Xinjiang Goldwind Science Technology Co.,Ltd.,Urumqi 830026,China)
出处
《昆明理工大学学报（自然科学版）》
北大核心
2022年第4期72-82,共11页
Journal of Kunming University of Science and Technology(Natural Science)
基金
国家自然科学基金项目(51666017)
新疆维吾尔自治区科技厅重大专项项目(2022A01001-2)。
关键词
微电网
多级混合储能
分时电价
博弈机制
粒子群优化算法
microgrid
multistage hybrid energy storage
TOU price
game mechanism
particle swarm optimization algorithm
