中文摘要：

从配电网自身参数角度分析分布式电源并网后带来的电压越限问题,研究配电网静态电压随分布式电源功率注入的变化趋势。提出一套系统性地考虑分布式电源出力随机性和相关性以及配电网静态电压质量机会性约束的分布式电源接入容量规划方法。较之现有分布式电源规划方法,所提方法在可接受的计算强度下更加专注于提高处理分布式电源出力随机性和相关性的准确性,保证了规划结果的可靠性。所提方法使用差分进化算法对拉丁超立方采样所生成的分布式电源出力的原始采样序列进行重排序,从而满足电源出力相关性的要求;利用概率潮流的方法将分布式电源的随机出力映射为节点电压的概率分布以满足规划过程中电压质量的机会约束。采用差分进化算法对规划模型进行求解。IEEE 33节点配电网中的应用验证了所提方法的有效性及实用性。

英文摘要：

The voltage limit violation induced by the grid-connection of DG（Distributed Generation） is analyzed from the aspect of distribution network parameters and the variation tendency of its static voltage along with the DG power injection is researched. A method of DG capacity planning is proposed,which systematically considers the randomness and correlation of its output and the chance constraint of static voltage quality. Compared with the existing DG planning method,it focuses more on improving the correctness of randomness and correlation processing under the acceptable computational intensity to ensure the reliability of planning results. The differential evolution algorithm is adopted to reorder the original sampling sequence of DG outputs generated by Latin hypercube sampling for satisfying the requirement of DG output correlation. The probabilistic power flow method is used to map the random DG outputs on the probability distribution of node voltage for satisfying the chance constraint of voltage quality during the planning. The differential evolution algorithm is adopted to solve the planning model. Its application to IEEE 33-bus system verifies the effectiveness and applicability of the proposed method.