Chee Yee Chung

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This paper develops a hybrid Constrained Genetic Algorithm and Particle Swarm Optimisation method for the evaluation of the load flow in heavy-loaded power systems. The new algorithm is demonstrated by its applications to find the maximum loading points of three IEEE test systems. The paper also reports the experimental determination of the best values of(More)
—By integrating a genetic algorithm (GA) with a non-linear interior point method (IPM), a novel hybrid method for the optimal reactive power flow (ORPF) problem is proposed in this paper. The proposed method can be mainly divided into two parts. The first part is to solve the ORPF with the IPM by relaxing the discrete variables. The second part is to(More)
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