BBO/DE: A Hybrid Biogeography Based Optimization with Differential Evolution for Congestion Management in Restructured Power Systems | Abstract

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BBO/DE: A Hybrid Biogeography Based Optimization with Differential Evolution for Congestion Management in Restructured Power Systems

Abstract

In this paper, a hybrid BBO with DE, namely BBO/DE is proposed for Congestion Management. Biogeography based Optimization (BBO) is a new biogeography inspired algorithm, which uses the biogeographybased migration operator to share the information among solutions. Differential Evolution, a fast and robust evolutionary algorithm used for global optimization. The proposed technique combines the exploitation of BBO with the exploration of DE effectively, and this leads to the generation of promising candidate solutions. Performance of our proposed technique is verified using IEEE – 30 bus system. The efficiency and effectiveness of our approach is proved in the experimental results. Performance of BBO/DE is better compared to the performance of other state-of-the-art DE approaches, in terms of the convergence rate and the quality of final solutions.

Ms. S.T. Priyanka, Ms. R. Vidya

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