基于多种群遗传算法的分布式光伏接入配电网规划研究

PLANNING RESEARCH OF DISTRIBUTED PHOTOVOLTAIC SOURCE ACCESS DISTRIBUTION NETWORK BASED ON MULTI-POPULATION GENETIC ALGORITHM

针对分布式光伏接入配网系统的优化规划问题,提出一种兼顾经济性和安全性的光伏并网规划方法。以接入容量最大、投资运行维护成本最低、网络有功损耗最小为经济性规划目标,以电压偏差、电压波动、谐波指标为规划约束,建立光伏并网的多目标约束优化模型。采用多种群遗传算法求解规划模型。利用控制参量不同的多个种群协同进行优化搜索,同时在单个种群的操作中引入适应度函数标定和自适应算法,克服算法求解多目标约束优化模型未成熟收敛的缺陷。结合IEEE33节点配电系统进行求解分析,验证所提出模型和方法的有效性,并对不同负荷、接入方案、功率因数下的规划方案进行对比研究,归纳不同因素对规划结果的一般性影响规律。

Specified on the optimal planning problem in the distributed photovoltaic source accessed distribution network,an innovative photovoltaic source grid connected planning method is proposed with consideration both on economy and safety.Taking the maximum access capacity,the lowest investment,operation and maintenance cost,and the smallest active power loss of the network as the economic planning objective,and taking the voltage deviation,voltage fluctuation and harmonic quality as planning constraints,a multi-objective constrained optimization model of the photovoltaic grid-connected is established.A multi-population genetic algorithm is used to solve the planning model.The optimization search is fulfilled by using multiple populations with different control parameters.Meanwhile,the fitness function calibration and adaptive algorithm are introduced in the operation of a single population,thereby,overcoming the defects of the immature convergence of the algorithm.The proposed method is implemented on the IEEE 33 node distribution network model.Results conform the validity of the proposed model and the method.The planning schemes under different loads,access schemes and power factors are compared and researched.General influencing rule of different factors on the results is summarized.