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Artificial intelligence based method for optimaldesign of harmonic filters

عنوان مقاله: Artificial intelligence based method for optimaldesign of harmonic filters
شناسه ملی مقاله: CIRED03_079
منتشر شده در سومین کنفرانس منطقه ای سیرد در سال 1393
مشخصات نویسندگان مقاله:

Akbar Bayat - Zanjan Electric Distribution Company Zanjan, Iran
Reza Noroozian - Department of Electrical Engineering, Faculty of Engineering, Zanjan University, Zanjan, Iran

خلاصه مقاله:
Conventional approaches for the design of passivepower filter (PPF) depend on experiences and single technologycriterions which are difficult to achieve the optimal solution. In thispaper a Simplified Adaptive Step Length Bacterial Foragingalgorithm (S-ASBF) method is employed in the design of passivepower filters for a bus under abundant harmonic current sources.The objective is to minimize the cost of the filters, the filters loss, thetotal harmonic distortion of source current and to get the highestamount of reactive power that the system under study needs. Theresults of the illustrative example show the feasibility and moreaccuracy of S-ASBF method in optimal design of passive powerfilters in comparison with other well-known artificial intelligencealgorithms such as PSO method.

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1479404/