基于改进NSGA-Ⅱ的混合储能系统容量优化配置Capacity optimization allocation of hybrid energy storage system based on improved NSGA-II algorithm
李鑫,张亚丽,李松,邱亚,仇坤
摘要(Abstract):
针对光伏发电在微电网中的间歇性和不稳定性问题,利用全钒液流电池(vanadiumredox batteries,VRB)和超级电容(super capacitors,SC)组成的混合储能系统平抑独立微电网中的功率波动,以提高微电网的供电可靠性。考虑到混合储能系统的容量配置问题,建立最小化混合储能系统年均成本和负荷缺电率的多目标混合储能系统容量优化模型。针对传统精英非支配解排序遗传算法(non-dominated solution sorting genetic algorithm,NSGA-Ⅱ)求解多目标优化问题时局部搜索能力较差,提出一种基于改进精英保留策略的NSGA-Ⅱ。该算法通过引入新的适应度函数进行排序,合理保留优秀个体,提升算法的优化效果,从而提升局部搜索能力,不断逼近Pareto实前沿,获得更优的容量配置方案。最后,通过算例验证了所提算法的合理性。
关键词(KeyWords): 独立微电网;混合储能;容量优化配置;改进NSGA-Ⅱ
基金项目(Foundation): 国家自然科学基金项目(62202138)~~
作者(Author): 李鑫,张亚丽,李松,邱亚,仇坤
DOI: 10.19666/j.rlfd.202405113
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