A Wolf Pack Algorithm for Active and Reactive Power Coordinated Optimization in Active Distribution Network

被引：0

作者：

Zhuang, H. M. ^{[1
]}

Jiang, X. J. ^{[1
]}

机构：

[1] Chengdu Univ Informat Technol, Sch Control Engn, Chengdu 610225, Sichuan Provinc, Peoples R China

来源：

2016 INTERNATIONAL CONFERENCE ON NEW ENERGY AND FUTURE ENERGY SYSTEM (NEFES 2016) | 2016年 / 40卷

关键词：

PARTICLE SWARM OPTIMIZATION;

D O I：

10.1088/1755-1315/40/1/012003

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper presents an active and reactive power dynamic optimization model for active distribution network (ADN), whose control variables include the output of distributed generations (DGs), charge or discharge power of energy storage system (ESS) and reactive power from capacitor banks. To solve the high-dimension nonlinear optimization model, a new heuristic swarm intelligent method, namely wolf pack algorithm (WPA) with better global convergence and computational robustness, is adapted so that the network loss minimization can be achieved. In this paper, the IEEE33-bus system is used to show the effectiveness of WPA technique compared with other techniques. Numerical tests on the modified IEEE 33-bus system show that WPA for active and reactive multi-period optimization of ADN is exact and effective.

引用

页数：9

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