摘要
针对社区微网储能系统的容量配置,构建独立型微网储能系统多目标优化配置模型,提出计及电动汽车有序放电时动力电池损耗的优化配置方法。该模型以最小化微网综合成本和清洁能源浪费率为目标,以功率平衡、动力电池不同时充放电等为约束,采用带精英策略的非支配排序遗传算法求解并得到电动汽车在多种工作机制下的最优储能容量配置。结果表明,为使系统在环境友好性、供电可靠性及经济性等方面更具优势,应选择在电动汽车有序充放电的机制下进行储能容量的配置。
Aiming at the capacity configuration of the community microgrid energy storage system,a multi-objective optimization configuration model of the independent microgrid energy storage system is constructed, and an optimal configuration method considering the power battery loss during the orderly discharge of electric vehicles is proposed. The model aims at minimizing the microgrid’s overall cost and clean energy waste rate. Taking power balance, power battery charging and discharging at different times as the constrain conditions,the optimal energy storage capacity allocation of electric vehicle under various working mechanisms are solved and obtained using non-dominated sorting genetic algorithms with elite strategies. The results show that, in order to make the system more advantageous in terms of environmental friendliness,power supply reliability and economy,the energy storage capacity configuration is selected under the orderly charging and discharging mechanism of electric vehicles.
作者
陆燕娟
潘庭龙
杨朝辉
Lu Yanjuan;Pan Tinglong;Yang Chaohui(College of loT Engineering,Jiangnan University,Wuxi 214000,China;Wuxi Longma Technology Co.Ltd.,Wuxi 214000,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2021年第12期362-367,共6页
Acta Energiae Solaris Sinica
基金
国家自然科学基金(61672266)。
关键词
储能
电动汽车
微电网
遗传算法
社区微网
容量优化
多目标
energy storage
electric vehicle
micro-grid
genetic algorithm
community microgrid
capacity optimization
multiobjective
