分布式发电接入主动配电网的全局优化与研究

Global Optimization and Research on Distributed Generation Integration to Active Distribution Network

主动配电网是实现大规模间歇式新能源并网运行和控制、电网与充放电设施互动、智能配用电等电网分析与运行关键技术的有效解决方案,针对分布式发电规划问题,建立主动配电网线损最小、电压偏差最小、投资成本最小的多目标分布式发电规划模型。采用模糊集将多目标优化转换为单一目标优化,使总体满意度最大化,提升整体性能。同时采用改进多种群遗传算法对建立的模型进行求解,在一定程度上克服了多种群遗传算法容易较早收敛的问题,并对某城市小区主动配电网系统上进行计算、仿真和试验,验证了该模型和算法的有效性。

Active distribution network is an effective approach to solutions such as the high-penetration of intermittent renewable energy,interaction between grid,charge and discharge facilities,and also the analysis and operation of smart grid.In allusion to the planning of distributed generators,a multi-objective programming model,which takes into account the least active power loss,the best voltage level and the smallest investment cost,is established.Using the fuzzy set theory to transform the multi-objective optimization into mono-objective optimization and maximizing the overall satisfaction improves the overall performance.At the same time,the modified multi-population genetic algorithm is used to solve the model.To a certain extent,this algorithm overcomes the premature convergence caused by multi-population genetic algorithm.The 35 node power system of certain city community is checked the effectiveness of the model and algorithm.