摘要
为提升微电网运行可靠性及可再生能源消纳率,提出一种基于改进NSGA-Ⅲ的储能系统容量优化配置方法。首先,基于风-光-储微电网结构分析,建立储能配置双层优化模型,上层考虑储能系统投资成本,下层考虑储能系统接入后的微电网实际运行情况。其次,采用近邻聚类传播算法对可再生能源出力与负荷数据进行分析,并引入净负荷标准差指标,实现典型日数据提取。然后,针对所提多目标优化模型,提出一种基于差分进化选择策略的改进NSGA-Ⅲ算法。最后,结合典型日提取数据进行仿真分析,结果验证了所提模型与算法的有效性。
In order to improve the reliability of microgrid operation and renewable energy power absorbability,a capacity optimization allocation method of energy storage system based on improved nondominated sorting genetic algorithmⅢ(NSGA-Ⅲ)was proposed.Firstly,a two-layer optimization model of energy storage configuration was established based on the structural analysis of wind-photovoltaic-energy storage microgrid.The top layer considers the investment cost of the energy storage system,and the bottom layer considers the actual operation of the microgrid after the energy storage system is connected.Secondly,the affinity propagation was used to analyze the renewable energy output and load data,and the net load standard deviation index was introduced to realize the extraction of typical daily data.Then,an improved NSGA-Ⅲalgorithm based on differential evolutionary selection strategy was proposed for the proposed multi-objective optimization model.Finally,simulation analysis was performed with typical daily extraction data,and the results verify the effectiveness of the proposed model and algorithm.
作者
戴彦文
于艾清
DAI Yanwen;YU Aiqing(College of Electrical Engineering,Shanghai University of Electrical Power,Shanghai 200090,China)
出处
《电气传动》
2022年第18期40-47,共8页
Electric Drive
基金
上海绿色能源并网工程技术研究中心项目(13DZ2251900)。
关键词
微电网
储能系统
近邻传播聚类
第三代非支配遗传算法
优化配置
microgrid
energy storage system
affinity propagation(AP)
nondominated sorting genetic algorithmⅢ(NSGA-Ⅲ)
optimization allocation
