考虑电动汽车不确定性因素的配电网分布式电源优化布置

摘要

分布式电源和电动汽车的规模化接入对配电网经济运行和电能质量产生了较大影响.分布式电源和电动汽车的功率具有不确定性.为实现分布式电源的合理配置,提出了一种考虑电动汽车不确定性因素的分布式电源优化布置方法.首先,以网络损耗最小、电压偏移最小和系统稳定性高为优化目标,利用机会约束规划方法建立分布式电源优化配置模型.然后,采用支持向量机算法和多目标粒子群算法对上述模型进行求解,得到其Pareto 解集.以IEEE 37 节点配电网为例对所提模型进行验证,结果表明该模型可以有效得到合理的配置方案.%The large-scale access of distributed generation and electric vehicles has a great impact on the economic operation and power quality of distribution network. Distributed power and electric vehicle power have uncertainties. In order to realize the rational distribution of distributed power, this paper presents a distributed power optimization layout method considering the uncertainties of electric vehicles. First of all, the optimal model of distributed generation is established by using the opportunistic constrained programming method with the least network loss, the minimum voltage offset and the high stability of the system. The SVM algorithm and the multi-objective particle swarm optimization algorithm are used to solve the above model, Pareto solution set is obtained. Finally, the model proposed in this paper is validated by IEEE37 node distribution network. The results show that the model can effectively get a reasonable configuration scheme.