计及不确定性和环境因素的多类型分布式电源选址定容

分布式风电源和光伏电源因风速和太阳辐照度的随机性存在出力不确定性的特点，且配电网负荷水平也存在不恒定的特性。在进行配电网规划时，该不确定性对配电网具有不可忽视的影响。将这种不确定性计及到分布式电源的优化配置问题当中，运用场景划分的方法将一年中配电网的运行状态划分成8760个小时场景，并采用改进K-means聚类方法对场景进行聚类。以计及环境因素在内的年综合费用最小为目标函数，采用改进粒子群算法对多类型分布式电源进行选址定容规划。最后采用配电网系统算例进行仿真分析，验证了该优化配置模型和方法的有效性。

Optimal siting and sizing of distributed generations considering uncertainties and environmental factors

The output of wind turbine generator and photovoltaic has the characteristics of uncertainties because of the presence of random wind speed and solar irradiance. And the distribution network load level also has non-constant characteristics. The uncertainty has a significant impact on the distribution network during distribution network planning. This paper takes these uncertainties into account to the optimal allocation of distributed generatiions, divides a year running states of distribution network into 8760 hour-scenes using scene division method, and clusters scenes using the improved K-means clustering method. The objective function is the minimal comprehensive cost taking the environmental factor into account, and the improved PSO algorithm is employed to solve the model. Finally, the 33-bus distribution system is simulated to verify the effectiveness of the proposed model and method.