• multi-objective harmony search algorithm for optimal power flow problem

    نویسندگان :
    جزئیات بیشتر مقاله
    • تاریخ ارائه: 1393/01/01
    • تاریخ انتشار در تی پی بین: 1393/01/01
    • تعداد بازدید: 544
    • تعداد پرسش و پاسخ ها: 0
    • شماره تماس دبیرخانه رویداد: -
     this paper proposes a multi-objective harmony search (mohs) algorithm for optimal power flow (opf) problem. opf problem is formulated as a non-linear constrained multi-objective optimization problem where different objectives and various constraints have been considered into the formulation. fast elitist non-dominated sorting and crowding distance have been used to find and manage the pareto optimal front. finally, a fuzzy based mechanism has been used to select a compromise solution from the pareto set. the proposed mohs algorithm has been tested on ieee 30 bus system with different objectives. simulation results are also compared with fast non-dominated sorting genetic algorithm (nsga-ii) method. it is clear from the comparison that the proposed method is able to generate true and well distributed pareto optimal solutions for opf problem.

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