基于潜力度的分布式电源优化配置

Optimal configuration of distributed generation based on potentiality

利用传统的灵敏度分析进行分布式电源(DG)优化配置,易造成选点布局不合理及选点失准问题。首先在二阶灵敏度模型的基础上,得到目标函数与DG接入容量的非线性关系。然后提出了一种全新的DG选点方式,用潜力度指标替代传统的一阶灵敏度来指导接入位置的选取。最后采用自适应灾变遗传算法对IEEE15节点系统进行优化计算,比较了各配置方案的优化结果。算例分析表明文章的选点方式能更有效地改善网损、电压综合指标。

Optimal configuration of DG based on traditional sensitivity analysis may lead to improper location layout and inaccurate location selection. Through setting up a second-order sensitivity model,the nonlinear relationship between objective function and access capacity of DG is presented. Instead of traditional first-order sensitivity,a new potentiality index is used to guide DG location selection. Through applying self-adaptive catastrophic genetic algorithms into the IEEE15-bus system as an example,the optimization results of all configurations are compared. The example results demonstrate the effectiveness of the proposed method on improving power loss and voltage quality.