摘要
基于分布式电源出力和负荷的典型时序特性,建立考虑环境成本的并网型分布式电源选址定容规划模型,以配电网建设费用、损耗费用、购电费用和分布式电源运行费用最小为目标函数,采用可处理PV节点的前推回代潮流计算方法判断规划方案是否满足潮流约束及计算网络损耗。同时,为克服粒子群算法的"早熟"问题,提出了一种将联系数与粒子群算法相结合的改进粒子群算法,并用改进算法对模型进行优化。IEEE13节点系统仿真结果验证了模型的合理性和算法的有效性。
Based on the timing characteristics of distributed generations( DG) output and loads,a planning model for the optimal site selection and capacity determination of the grid-connected DG was built,in which environmental cost was taken into consideration,. In the planning model,the minimization of the operation cost of the distribution network was taken as the objective function,including the cost of the distribution network construction,distribution network losses,power purchase cost and the running cost of the distributed generations,,and the forward and backward sweep algorithm,which could deal with the PV node,was adopted to judge whether the planning model would meet the power flow constraint and to calculate the distribution network loss. Meanwhile,to remedy the premature convergence of the particle swarm optimization( PSO) algorithm,an improved PSO algorithm was proposed,which combined correlates with the PSO algorithm. Finally,the rationality of the proposed model and the effectiveness of the algorithm were verified by the simulation results of the 13-bus distribution system.
出处
《电测与仪表》
北大核心
2015年第2期99-104,共6页
Electrical Measurement & Instrumentation
基金
中央高校基本科研业务项目(13QN47)
关键词
配电网规划
分布式电源
时序特性
粒子群算法
选址定容
distribution network planning
distributed generation(DG)
timing characteristics
particle swarm optimization(PSO) algorithm
optimal site selection and capacity determination