A New Hybrid Modified PSO/BFA technique for solving Optimal Location and Sizing of Shunt Capacitors

سال انتشار: 1393
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,086

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شناسه ملی سند علمی:

TDCONF01_002

تاریخ نمایه سازی: 19 تیر 1394

چکیده مقاله:

In this paper, Self-Adaptive Hybrid Modified Particle Swarm optimization (SAHMPSO) with time varying acceleration coefficients and Bacteria Foraging Algorithm (BFA) method is introduced to solve Optimal Location and Size of Capacitor (OLSC) problem in radial distribution networks. To arrive to SAHMPSO/BFA method, two developments have been employed on control parameters of mutation and crossover operators. To expand this study, three load conditions have been considered, i.e., constant, varying and effective loads. Objective function is introduced for the load conditions. The annual cost is objective function of OLSC problem, in addition to this cost, CPU time, voltage profile, active power loss and total installed capacitor banks and their related costs have been used for performance indexes. To confirm the ability of each improvements of SAHMPSO/BFA algorithm, the improvements are studied both in separate and simultaneous conditions. To verify the effectiveness of the proposed method, it is tested on IEEE ۱۰ bus and ۳۴ bus radial distribution networks and compared with other approaches.

نویسندگان

Homayoun Ebrahimian

Department of Electrical Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran

Alireza Noruzi

Department of Electrical Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran

Mehdi Mirzaei

Department of Electrical Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran

Mohammad Yazdani

Department of Electrical Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran

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