一种面向智能配电网的分布式并行电压优化方法

针对智能配电网中分布式电源(DG)接入及电网仿真实时响应的需求,提出一种分布式并行环境下求解智能配电网中各DG最优输出功率的方法,实现了快速高效的配电网电压优化。该方法首先基于凝聚层次聚类法(HAC),解决了智能配电网自动分区的问题,在此基础上,采用分布式序列二次规划(DSQP-DG)算法,通过内外层迭代交替并行求解出DG最优出力。以接入DG的IEEE 33节点系统算例对该方法进行测试验证可知,较之辅助问题原理(APP)方法,该方法具备更好的寻优能力和快速性,能够有效解决智能配电网分布式并行电压优化问题。

Distributed and parallel voltage optimization of smart distribution network

In order to meet the requirements of smart distribution network for the grid-connection of DG (Distributed Generation) and the real-time response of grid simulation, a method is proposed to determine the optimal power output of each DG for the fast and effective voltage optimization of distribution network in the distributed and parallel environment, which applies the method of hierarchical agglomerative clustering to automatically partition the distribution network and then the algorithm of distributed sequential quadratic programming for DG to obtain in parallel the optimal outputs of DGs by the alternative internal and external iterations. IEEE 33-bus system with DGs is taken to test and verify the proposed method. Compared with the method of auxiliary problem principle, the proposed method has better performance and rapidity in the distributed and parallel voltage optimization of smart distribution network.