Optimal allocation of Wind Turbine & SVC using Cuckoo Search Algorithm for enhancement of techno-socio-environmental benefits in distribution network

2020 ◽  
Author(s):  
Anirban Chowdhury ◽  
Ranjit Roy ◽  
Kamal Krishna Mandal
Keyword(s):  
Wind Turbine ◽  
Optimal Allocation ◽  
Search Algorithm ◽  
Distribution Network ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Environmental Benefits

scholarly journals Optimization of location and size of distributed generations for maximizing their capacity and minimizing power loss of distribution system based on cuckoo search algorithm

2021 ◽  
Vol 10 (4) ◽  
pp. 1769-1776
Author(s):  
Thuan Thanh Nguyen ◽  
Trieu Ton Ngoc ◽  
Thang Trung Nguyen ◽  
Thanh-Phuc Nguyen ◽  
Ngoc Au Nguyen
Keyword(s):  
Distribution System ◽  
Power Loss ◽  
Search Algorithm ◽  
Distribution Network ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Power Losses ◽  
Distributed Generations ◽  
Test Systems ◽  
Reliable Methods

Maximizing capacity of distributed generations (DGs) embed into distribution network is a solution to attract investment for DGs installation on the distribution system. This paper introduces a approach of optimizing location and capacity of DGs for maximizing DGs capacity and minimizing the system’s power loss based on cuckoo search algorithm (CSA). The proposed problem and method are simulated on two test systems including the 33-node and 69-node networks. The numerical results have demonstrated that the proposed method not only reduces power losses but also maximizes the power of DGs embed into the distribution network. The results also introduce that the proposed CSA method is better performance that some previous methods in terms of power loss and DGs capacity. The results obtained in many independent runs for two test systems indicate that CSA in one of the reliable methods for the DGs placement problems.

Sign in / Sign up

Export Citation Format

Share Document