Multiple Load Flow Solutions in Electric Power Systems Based on Genetic Algorithm |
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Authors: | ZHANG Jin kui LIN Yin yu YANG Chuan zhong GAN Xing guo XIE Chang ke |
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Abstract: | Methods for satisfying the power balance requirement and the voltage magnitude costraint are developed and incorporated into the genetic algorithm method to form a constrained genetic algorithm for solving the load flow problem.The robustness of the load flow algorithm is enhanced by the dynamic population.the technique for accelerating the convergence of the optimisation process and the network node sequencing procedure described in the paper.The efficiency and feasibility of the developed CGALF algorithm have been tested using KK 11 node system under light load and heavy load conditions. |
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Keywords: | genetic algorithm load flow in ill condition steady state celling point |
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