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مقالات فارسیISIکنفرانسهاژورنالها

Optimal Location and Sizing of Wind Turbines and Photovoltaic Cells in the Grid for Load Supply Using Improved Genetic Algorithm

محل انتشار: مجله انرژی تجدیدپذیر و محیط زیست، دوره: 10، شماره: 2
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 96

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استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:
https://civilica.com/doc/1662343

شناسه ملی سند علمی:

JR_JREE-10-2_002

تاریخ نمایه سازی: 2 خرداد 1402

چکیده مقاله:

The optimal combination of distributed generation units in recent years has been designed to improve the reliability of distributed generation systems as well as to reduce losses in electrical distribution systems. In this research, the improved Genetic Algorithm has been proposed as a powerful optimization algorithm for optimizing problem variables. The objective function of this paper includes power loss reduction, hybrid system reliability, voltage profile, optimal size of distributed generation unit, and finally improvement of the construction cost of combined wind and solar power plants. Therefore, the problem variables are subject to reliable load supply and the lowest possible cost during the optimization process. In order to achieve this goal in this study, the IEEE standard ۳۰-bus network is examined. The results of the system simulation show the reduction of total system losses after DG installation compared to the state without DG and the improvement of other variable values in this network. This loss index after installing DG in the desired bus has a reduction of about ۲۰۰ kWh during the year and has a value equal to ۱۲۶.۴۲ kWh per year.

کلیدواژه ها:

Optimal Placement ، Improved Genetic Algorithm ، Distributed Production ، Loss reduction ، Combined System

نویسندگان

Ming Lin

Department of Electrical Engineering, Cheng Shiu University, ۸۳۳۴۷, Kaohsiung City, Taiwan, China.

Juin Lin

College of Electrical Engineering and Computer Science, National Kaohsiung University of Science and Technology, ۸۱۱, Kaohsiung City, Taiwan, China.

Mamdouh El Haj Assad

Department of Sustainable and Renewable Energy Engineering, University of Sharjah, P. O. Box: ۲۷۲۷۲, Sharjah, United Arab Emirates.

Reza Alayi

Department of Mechanics, Germi Branch, Islamic Azad University, P. O. Box: ۵۶۵۱۷۶۳۷۶۴, Germi, Ardabil, Iran.

Seyed Seyednouri

Young Researchers and Elite Club, Germi Branch, Islamic Azad University, P. O. Box: ۵۶۵۱۷۶۳۷۶۴, Germi, Ardabil, Iran.

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