基于分布式电源与负荷双重不确定性的配电网综合规划研究

摘要:

随着分布式电源大量渗入配电网，配电网在规划时要同时面临电源侧和负荷侧的不确定因素。首先，依据分 布式电源出力与负荷的概率密度函数建立配电系统多状态模型，通过多状态潮流计算模拟它们的不确定性。其次， 建立基于机会约束规划的分布式电源与配电网架综合规划模型，针对配电网规划问题的非线性、大规模等特点提出 一种改进的遗传算法用于求解。通过对某地区实际配电网的计算分析，验证了所提算法具有良好的运行效率和收敛 性能。算例结果表明，分布式电源的接入与网架结构调整相配合能够提升配电网的经济效益。

Abstract:

With the penetration of distributed generation ( DG) ，distribution network planning is faced with the uncertainties coming from both sides of power supply and load． Firstly，according to the probability density function，the multi － state model of distribution system is established，which represents the uncertainties by means of multi － state power flow calculation． Secondly，a comprehensive planning model of distribution network with DG and network structure adjustment based on the chance constrained programming is proposed，which is optimized by an improved genetic algorithm． By calculating and analyzing practical examples of distribution network in an area，it is demonstrated that the proposed algorithm has a good efficiency and convergence performance． The results show that the economic benefits are effectively improved by comprehensive planning of DG and the network reconfiguration．