Research on Decoupling Method for Dynamic Reactive Power Optimization of Active Distribution Network

被引：0
|
作者：
Luo P. [1 ,2 ]
Sun J. [1 ]
机构：
[1] College of Automation and Electronic Information, Xiangtan University, Xiangtan
[2] Institute of ie3 TU Dortmund University, Dortmund
来源：
Gaodianya Jishu/High Voltage Engineering | 2021年 / 47卷 / 04期
基金：
湖南省自然科学基金;
关键词：
Active distribution network; Decoupling strategy; Dynamic reactive power optimization; K-Means clustering; Self-adaptive learning based particle swarm optimization;
D O I：
10.13336/j.1003-6520.hve.20200051
中图分类号：
学科分类号：
摘要：
In order to accurately and efficiently solve the dynamic reactive power optimization which is taken as mix-integer non-linear programming with strong space-time coupling, a decoupling strategy of relaxation-clustering-correcting is proposed. Firstly, the 24-hour optimal reactive power compensation value of capacitor bank is obtained by relaxing discrete variables and switching operation constraints of the capacitor bank. Secondly, time periods are divided and the actual compensation capacity of capacitor banks is determined based on K-Means clustering. Finally, the dynamic reactive power optimization results are determined by correcting continuous variables. The strategy only needs to solve the nonlinear programming model, which can reduce the solution scale and obtain scheduling results with high satisfaction. In the process of optimization, a self-adaptive learning of multi-mechanism based particle swarm optimization is designed to solve the mode, which has three particle evolution mechanisms with different advantages according to the characteristics of the model. In the iterative process, the execution probability of the three mechanisms is dynamically adjusted to give full play to the advantages of each mechanism, so as to overcome the shortcomings of the traditional particle swarm optimization which is slow in convergence and easy to falling into the local optimal solution. The IEEE 33-bus system is presented to verify effectiveness of the proposed decoupling strategy and algorithm. © 2021, High Voltage Engineering Editorial Department of CEPRI. All right reserved.
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页码：1323 / 1332
页数：9
相关论文
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