含风电的配电网重构场景模型及算法

Scenario Model and Algorithm for the Reconfiguration of Distribution Network With Wind Power Generators

风电出力的随机性使含风电(windpowergeneration,WPG)的配电网重构难以用传统模型来描述。构造了含风电的配电网重构的场景模型。该模型基于场景分析法并通过场景选择和场景电压来描述风电的随机出力及其影响,新模型能适应多风电和多风电场同时接入系统的情况。提出了一种适用于含风电的配电网重构场景模型的高效遗传算法。通过无不可行码的编码规则、初始种群产生、交叉操作和优生操作,使进化中只产生切合配电网实际的可行解。新算法在进化过程中基于场景电压进行物理寻优,大大减少了寻优时间和对初始种群的依赖。仿真计算结果验证了该模型和算法的有效性。

The reconfiguration of distribution network with wind power generations （WPGs） could not be described by traditional methods because of the random output of the WPG. Aiming at this problem, a novel scenario distribution network reconfiguration model is presented. In this model, the scenario analysis method was applied to describe the random output of the WPG and its influence through the scenario selection and scenario voltage. Multiple WPGs and wind farms connected with a network was also considered in this model. And then, an efficient genetic algorithm was presented for the scenario distribution network reconfiguration model. Through the no unfeasible coding rule in the initial population strategy, cross strategy and eugenic strategy, individuals in the evolution always form the feasible solutions which can meet the requirement of the actual distribution network. Physical optimization based on scenario voltage in the process of evolution reduces the optimization time and the dependence of the initial population. The calculation results verify the feasibility of the proposed model and algorithm.