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

2016 International Conference on New Energy and Future Energy System

Zhuang, H.M.^1 ; Jiang, X.J.^1

School of Control Engineering, Chengdu University of Information Technology, Sichuan Province, Chengdu

610225, China^1

关键词: Active and Reactive Power;    Active distribution network (ADN);    Active distribution networks;    Computational robustness;    Coordinated optimization;    Distributed generations (DGs);    Energy storage systems;    Nonlinear optimization model;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/40/1/012003/pdf
DOI  :  10.1088/1755-1315/40/1/012003

来源: IOP

【 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.