Reconfiguration of Smart Distribution Network in the Presence of Renewable DG's Using GWO Algorithm

2nd International Conference on Green Energy Technology

能源学;生态环境科学

Siavash, M.^1 ; Pfeifer, C.^1 ; Rahiminejad, A.^2 ; Vahidi, B.^3

Department of Material Science and Process Engineering, University of Natural Resources and Life Sciences, Vienna, Austria^1

Department of Electrical and Computer Science, Esfarayen University of Technology, Esfarayen, North-Khorasan, Iran^2

Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran^3

关键词: Grey Wolf Optimizer;    Network condition;    Optimal reconfigurations;    Optimization method;    Optimization problems;    Smart distribution networks;    Smart distribution systems;    Voltage stability improvement;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/83/1/012003/pdf
DOI  :  10.1088/1755-1315/83/1/012003

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In this paper, the optimal reconfiguration of smart distribution system is performed with the aim of active power loss reduction and voltage stability improvement. The distribution network is considered equipped with wind turbines and solar cells as Renewable DG's (RDG's). Because of the presence of smart metering devices, the network state is known accurately at any moment. Based on the network conditions (the amount of load and generation of RDG's), the optimal configuration of the network is obtained. The optimization problem is solved using a recently introduced method known as Grey Wolf Optimizer (GWO). The proposed approach is applied on 69-bus radial test system and the results of the GWO are compared to those of Particle Swarm Optimization (PSO), and Genetic Algorithm (GA). The results show the effectiveness of the proposed approach and the selected optimization method.