摘要
基于Copula理论,选取Gumbel-Copula和Clayton-Copula构建混合Copula函数来描述光伏出力和电动汽车充电负荷的相关性,在两者联合出力概率密度函数基础上模拟充电站的年净负荷量。在波动率、置信度等条件的约束下,建立以集成充电站年运行成本最小为目标函数的储能配置模型。采用基于差分进化策略的改进入侵杂草优化算法对实例进行计算。结果表明,考虑相关性的配置模型能以较小储能容量和运行成本满足约束条件的要求,同时相比于单一蓄电池配置方案,混合储能配置方案能减缓电池折旧,更有益于提高经济性。
Based on the Copula theory, a mixed Copula function constructed of Gumbel-Copula and Clayton-Copula is suitable for describing the correlation of PV power and EVs charging load. The annual net load of a PV-assisted charging station was simulated based on the joint probability density function. The capacity configuration model of energy storage system was established using the minimum annual cost as objective, with fluctuation rate and confidence level as constraints. A case was calculated by Invasive Weed Optimization Algorithm based on Strategy of Differential Evolution. The results showed that the configuration model considering correlation could meet the constraints with smaller storage capacity and cheap operation cost. Compared to the single battery energy storage configuration scheme, hybrid energy storage configuration scheme is more economical by slowing down the battery depreciation.
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2016年第3期780-786,共7页
Acta Energiae Solaris Sinica
关键词
光伏
电动汽车充电站
相关性
COPULA理论
容量配置
入侵杂草优化算法
photovoltaic
charging station for EVs
correlation
Copula theory
capacity configuration
invasive weed optimization algorithm
