在考虑自然条件的前提下,文章建立了分布式电源选型和选址的成本最小、网络损耗最小和电压偏移量最小的目标函数模型;在采用前推回代法计算配电网潮流基础上,应用遗传算法对目标函数进行了寻优计算;利用算例系统对模型和算法的正确性进行了验证.研究表明,通过对分布式电源进行合理的选型和选址,可以提高供电的可靠性和电能质量.“,”Based on the natural conditions,this paper establishes the objective function models of distributed generation with minimized cost of types and locations selection and minimized power losses and changes of voltage.After the calculation of power flow based on the back/forward sweep method,the genetic algorithm is adopted for searching the optimal calculation.The example system verifies the validity of the models and the algorithm.The research results show that the reliability and power quality of distribution network can be improved by selecting reasonable types and locations of distributed generation sources.