An efficient Genetic algorithm based approach for Reactive Power Dispatch Problem
Mousa, A., Eldesoky, I. (2010). An efficient Genetic algorithm based approach for Reactive Power Dispatch Problem. EKB Journal Management System, 7(7th International Conference on Electrical Engineering ICEENG 2010), 1-14. doi: 10.21608/iceeng.2010.33023
A. A. Mousa; Islam M. Eldesoky. "An efficient Genetic algorithm based approach for Reactive Power Dispatch Problem". EKB Journal Management System, 7, 7th International Conference on Electrical Engineering ICEENG 2010, 2010, 1-14. doi: 10.21608/iceeng.2010.33023
Mousa, A., Eldesoky, I. (2010). 'An efficient Genetic algorithm based approach for Reactive Power Dispatch Problem', EKB Journal Management System, 7(7th International Conference on Electrical Engineering ICEENG 2010), pp. 1-14. doi: 10.21608/iceeng.2010.33023
Mousa, A., Eldesoky, I. An efficient Genetic algorithm based approach for Reactive Power Dispatch Problem. EKB Journal Management System, 2010; 7(7th International Conference on Electrical Engineering ICEENG 2010): 1-14. doi: 10.21608/iceeng.2010.33023

An efficient Genetic algorithm based approach for Reactive Power Dispatch Problem

The International Conference on Electrical Engineering
Article 58, Volume 7, 7th International Conference on Electrical Engineering ICEENG 2010, May 2010, Page 1-14  XML PDF (213.75 K)
Document Type: Original Article
DOI: 10.21608/iceeng.2010.33023
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Authors
A. A. Mousa1; Islam M. Eldesoky2
1Egyptian Armed Forces.
2Benha High Technology Institute, Benha, Egypt.
Abstract
Abstract:
The problem of reactive power dispatch (RPD) is to allocate reactive power generation
so as to minimize the real power transmission losses and keep all voltage within the
limits, while satisfying a number of equality and inequality constraints. This paper
presents a new methodology for solving RPD. This methodology is consists of two
phases. The first one employs the genetic algorithm (GA) to obtain a feasible solution
subject to desired load convergence, while the other phase employs efficient GA to
obtain the optimal solution. Also, some major improvements are added to the traditional
genetic algorithm in order to improve the convergence and to find a better solution.
Extensive testing of the proposed algorithm is done on standard IEEE-30 bus system
and the results have been compared to those reported in the literature. The comparison
demonstrates the superiority of the proposed approach and confirms its potential to
solve the RPD problem.
Keywords
Reactive Power Dispatch Problem; Genetic Algorithm; Nonlinear Programming
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