摘要
电动汽车和分布式风电接入电网是当前的研究热点。首先分析了分布式风电以及电动汽车入网的随机特性,介绍了基于非参数核密度估计法的含电动汽车配电网负荷建模方法。该方法能够较好地克服由传统的正态分布进行负荷建模带来的误差。建立了基于机会约束的分布式风电穿透功率极限的计算模型,并使用嵌入随机模拟技术的粒子群优化算法对不同电动汽车渗透率时风电的穿透功率极限进行求解。最后,算例说明了电动汽车入网对负荷分布的影响,并从多个角度分析了电动汽车渗透率对风电极限穿透功率的影响机理。
Electric vehicle and distributed wind generation(DWG) accessing to grid are hotspot of current research. Firstly, the stochastic characteristics of DWG and electric vehicle to grid(V2G) are illustrated, and the method of distribution network load modeling including electric vehicle charge/discharge power is proposed based on nonparametric kernel density estimation, which could better overcome the error brought by traditional normal distribution in load modeling. Secondly, the wind penetration limit calculation model is constructed based on chance constrained programming(CCP), and the particle swarm optimization(PSO) algorithm embedded with stochastic simulation is proposed to solve the calculation model. Finally, the influence of V2 G on the distribution of distribution network load is stated on a tested system; what is more, the influence of electric vehicle penetration on the wind penetration limit is analyzed from multiple perspectives.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2016年第14期147-153,共7页
Power System Protection and Control
关键词
电动汽车入网
分布式风电
电动汽车渗透率
风电穿透功率极限
随机模拟
粒子群算法
electric vehicle to grid(V2G)
distributed wind generation(DWG)
electric vehicle penetration
wind power penetration limit
stochastic simulation
PSO