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Optimization of Reactive Power Expansion Planning

Electric Power Components and Systems, 2011
Abstract This article presents a penalty successive linear programming approach for optimum investment of reactive power in networks. Unlike many successive linear programming algorithms, the proposed approach is based on a successive linear programming framework that admits a convergence proof for non-linearly constrained problems of general form. The
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Reactive power optimization by genetic algorithm

Conference Proceedings Power Industry Computer Application Conference, 1993
This paper presents a new approach to optimal reactive power planning based on a genetic algorithm. Many outstanding methods to this problem have been proposed in the past. However, most these approaches have the common defect of being caught to a local minimum solution.
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Reactive power optimization of power system based on particle swarm optimization

Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022
Xi Wang, Yu Xiao
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Optimization of reactive power in the power system