Optimal sitting and sizing of DG for loss reduction and improve voltage profile based on Genetic Algorithm
عنوان مقاله: Optimal sitting and sizing of DG for loss reduction and improve voltage profile based on Genetic Algorithm
شناسه ملی مقاله: RKES01_201
منتشر شده در کنفرانس بین المللی پژوهش های نوین در علوم مهندسی در سال 1395
شناسه ملی مقاله: RKES01_201
منتشر شده در کنفرانس بین المللی پژوهش های نوین در علوم مهندسی در سال 1395
مشخصات نویسندگان مقاله:
Saeid Jalilzadeh - Associate Professor, Department of Electrical Engineering, University of Zanjan,
Shahriar Golchin - Undergraduate Student, Department of Electrical Engineering, University of Zanjan,
خلاصه مقاله:
Saeid Jalilzadeh - Associate Professor, Department of Electrical Engineering, University of Zanjan,
Shahriar Golchin - Undergraduate Student, Department of Electrical Engineering, University of Zanjan,
Distributed Generation (DG) is a promising solution to many power system problems such as voltage regulation, power loss and etc. This paper presents a method for the optimal sitting and sizing of Distributed Generation in distribution systems. In this paper, our aim would be optimal Distributed Generation sitting and sizing for voltage profile improvement and loss reduction in distribution network. Genetic Algorithm (GA) was used as the solving tool, which referring two determined aim. The problem is defined and objective function is introduced. We used MATPOWER package for load flow algorithm and composed it with our Genetic Algorithm. The suggested method is programmed under MATLAB software.
کلمات کلیدی: Distributed Generation (DG), Genetic Algorithm (GA), Voltage profile, Optimal sitting
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/506551/