Reactive Power Planning using Differential Evolution: Comparison with Real GA and Evolutionary Programming
نویسنده
چکیده
This paper proposes an application of Differential Evolution (DE) to Reactive Power Planning (RPP) problem. Simulation results, compared with those obtained by using the Real coded Genetic Algorithm (RGA) and Evolutionary Programming (EP) are presented to show that the present method is better for power system planning. In the case of optimization of non-continuous and nonsmooth function, DE gives much better results than RGA and EP. The proposed approach has been used in the IEEE 30-bus system. The comprehensive simulation results show a great potential for applications of DE in power system economical and secure operation, planning and reliability assessment.
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