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Optimal power flow solution using cuckoo search algorithm


Article Information

Title: Optimal power flow solution using cuckoo search algorithm

Authors: Arul Ponnusamy, Rengarajan N

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2014

Volume: 9

Issue: 12

Language: English

Categories

Abstract

The optimal power flow (OPF) problem in power system is a very large problem, which can be solved using soft computing techniques. The problem has many equality and inequality constraints. A new population based search algorithm called cuckoo search algorithm (CSA) solves the problem fast and accurate. The cuckoo search algorithm is based on the behavior of cuckoo birds in its breeding, is formed as the mathematical formulation to solve a real world non-linear problems. In this paper CSA algorithm is used to solve the OPF problem. The performance of the algorithm is compared with the particle swarm optimization (PSO) algorithm and genetic algorithm (GA). MATLAB programing is used to program the concept of the solution. IEEE-62 bus Indian utility system is used to test the performance.


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