基于粒子群优化算法的分布式光伏选址定容方法

Site Selection and Capacity Determination Approach for the Distributed Photovoltaic Based on PSO Algorithms

为减少分布式光伏接人对配电网的影响,提升分布式光伏消纳水平,需研究分布式光伏的选址定容优化问题。分布式光伏的选址定容问题是非线性、多变量、多目标的优化问题,以系统网损、电压偏差、光伏消纳量为优化目标,以潮流、节点电压、支路电流等为约束条件,以分布式光伏的位置和容量为决策变量,构建含分布式光伏的配电网多目标约束优化模型。采用粒子群优化算法对优化模型进行求解。以IEEE33节点配电系统为算例进行仿真和对比分析,验证所述方法的可行性和优越性。

In order to reduce the negative influences of distributed photovoltaic on the voltage and power flow of distribution networks,it is necessary to optimize the location and capacity of the distributed photovoltaic accessed in the network.The problem is a non-linear,multi-variables,and multi-target optimization problem.The optimization goals include system network loss,voltage deviation,and photovoltaic dispersion.Meanwhile,the constraints are power flow,node voltage,and branch circuit current.Taking the location and capacity of distributed photovoltaic as the decision variable,a multi-goal constraint optimization model with distributed photovoltaic distribution grid is built.Particles Swarm Optimization(PSO)algorithms is adopted to solve the optimization model.The feasibility and superiority of the method is verified through simulation via IEEE 33-node power distribution system.