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.
Mousa, A. (2008). Two-Phase Approach Based on Genetic Algorithm for Reactive Power Dispatch Problem. The International Conference on Electrical Engineering, 6(6th International Conference on Electrical Engineering ICEENG 2008), 1-13. doi: 10.21608/iceeng.2008.34502
MLA
A. A. Mousa. "Two-Phase Approach Based on Genetic Algorithm for Reactive Power Dispatch Problem". The International Conference on Electrical Engineering, 6, 6th International Conference on Electrical Engineering ICEENG 2008, 2008, 1-13. doi: 10.21608/iceeng.2008.34502
HARVARD
Mousa, A. (2008). 'Two-Phase Approach Based on Genetic Algorithm for Reactive Power Dispatch Problem', The International Conference on Electrical Engineering, 6(6th International Conference on Electrical Engineering ICEENG 2008), pp. 1-13. doi: 10.21608/iceeng.2008.34502
VANCOUVER
Mousa, A. Two-Phase Approach Based on Genetic Algorithm for Reactive Power Dispatch Problem. The International Conference on Electrical Engineering, 2008; 6(6th International Conference on Electrical Engineering ICEENG 2008): 1-13. doi: 10.21608/iceeng.2008.34502