摘要
随着分布式电源(distribution generation,DG)和电动汽车(electric vehicles,EV)渗透率的不断增加,在改善能源结构和减少环境成本的同时,也对配电网的选址定容规划提出了更高的要求。针对此问题,考虑不同DG、EV和负荷的不确定性,建立基于元件故障率变化的DG、EV故障运行成本模型,推导出DG、EV充电站(electrical vehicle charging station,EVCS)的整体故障率,并将故障运行成本加入到年综合费用中,同时计及元件故障率变化以及维修时间对故障成本的影响,分别以年综合费用最小和系统综合性能最优为上、下层目标函数,构建了DG和EVCS的双层协调规划模型,采用改进粒子群和内点法相结合的混合搜索算法求解。最后通过仿真分析了时变元件故障率对故障成本的影响,不同EV渗透率对系统综合性能和年综合费用的影响,以及改进粒子群和内点法相结合的混合搜索算法在计算速度和精度上的优势,最终验证了所提模型的有效性。
The increasing permeability of distributed generations(DG)and electric vehicles(EV)not only improves the energy structure and reduces the environmental costs,but also puts forward higher requirements for the distribution network location and capacity planning.In order to solve this problem,considering the uncertainty of different DGs,EVs and loads,this paper establishes the fault operation cost model of DGs and EVs based on the changes of the component failure rates,deducing the overall failure rates of the DGs and EV charging stations(EVCS).Then,adding the fault operation cost to the annual comprehensive cost,the changes of the component failure rates and the influence of the maintenance time on the fault cost are taken into account.Taking the minimum annual comprehensive cost and the optimal comprehensive performance of the system as the upper and lower objective functions respectively,the bilevel coordinated programming model of DGs and EVCSs considering the influence of failure rate is constructed,and the hybrid search algorithm combining the improved particle swarm optimization with the interior point method is used to solve the model.Finally,taking the IEEE33 node system as an example,the simulation results analyzes the influence of the time-varying component failure rate on the fault cost,that of different EV permeability on the system comprehensive performance and the annual comprehensive cost and the advantages of improved particle swarm optimization and interior point hybrid search algorithm in calculation speed and accuracy,and the effectiveness of the model proposed in this paper is verified.
作者
马丽叶
王海锋
卢志刚
MA Liye;WANG Haifeng;LU Zhigang(College of Electrical Engineering,Yanshan University,Qinhuangdao 066000,Hebei Province,China)
出处
《电网技术》
EI
CSCD
北大核心
2021年第12期4749-4758,共10页
Power System Technology
基金
国家自然科学基金项目(61873225)。
关键词
分布式电源
电动汽车
时变故障率
双层协调规划
混合搜索算法
distributed generation
electric vehicle
time varying failure rate
bilevel coordinated programming
hybrid search algorithm
