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a bat optimization algorithm for sizing and siting of optimal distributed generation in distribution networks
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نویسنده
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radmanesh hamid ,sharifi reza ,fathi hamid
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منبع
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مهندسي برق و الكترونيك ايران - 2020 - دوره : 17 - شماره : 4 - صفحه:11 -15
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چکیده
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The aim of this paper is to provide the best locations and sizes of dgs to aim voltage and power loss improvement with consider costs. the objective function in this paper is a multiobjective function with weights. the main functions are minimization of the power loss, improvement of voltage profile and minimization of dg cost are transformed into a single objective function with utilization the weight of functions. a bat algorithm is proposed for simultaneous optimization these functions. hence, in the first stage in this paper introduces the multiobjective function. next stage is introduced the optimization algorithm used and in the last stage simulation results are presented. the proposed method has been tested on a 13bus system. the results indicate that any change in the function rsquo;s weight in the objective function leads to a significant change in the forecasting of the location and size of dg.
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کلیدواژه
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dg ,size ,location ,bat algorithm ,power losses ,voltage profile
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آدرس
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shahid sattari aeronautical university of technology, electrical engineering department, iran, amirkabir university of technology, electrical engineering department, iran, amirkabir university of technology, electrical engineering department, iran
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پست الکترونیکی
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fathi@aut.ac.ir
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A BAT Optimization Algorithm for Sizing and Siting of Optimal Distributed Generation in Distribution Networks
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Authors
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Radmanesh Hamid ,Sharifi Reza ,Fathi Seyed Hamid
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Abstract
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The aim of this paper is to provide the best locations and sizes of DGs to aim voltage and power loss improvement with consider costs. The objective function in this paper is a multiobjective function with weights. The main functions are minimization of the power loss, improvement of voltage profile and minimization of DG cost are transformed into a single objective function with utilization the weight of functions. A BAT algorithm is proposed for simultaneous optimization these functions. Hence, in the first stage in this paper introduces the multiobjective function. Next stage is introduced the optimization algorithm used and in the last stage simulation results are presented. The proposed method has been tested on a 13bus system. The results indicate that any change in the function rsquo;s weight in the objective function leads to a significant change in the forecasting of the location and size of DG.
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Keywords
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DG ,Size ,Location ,BAT Algorithm ,Power Losses ,Voltage Profile ,DG ,Size ,Location ,BAT Algorithm ,Power Losses ,Voltage Profile
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