A Sequential Hybridization of Genetic Algorithm and Particle Swarm Optimization for the Optimal Reactive Power Flow

A Sequential Hybridization of Genetic Algorithm and Particle Swarm Optimization for the Optimal Reactive Power Flow

In this paper, the problem of the Optimal Reactive Power Flow (ORPF) in the Algerian Western Network with 102 nodes is solved by the sequential hybridization of metaheuristics methods, which consists of the combination of both the Genetic Algorithm (GA) and the Particle Swarm Optimization (PSO). The...

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Bibliographic Details
Main Authors: Imene Cherki, Abdelkader Chaker, Zohra Djidar, Naima Khalfallah, Fadela Benzergua
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Sustainability
Subjects:
reactive power flow
metaheuristic methods
metaheuristic hybridization
genetic algorithm
particles swarms
electrical network
Online Access:https://www.mdpi.com/2071-1050/11/14/3862

Internet

https://www.mdpi.com/2071-1050/11/14/3862

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