Bardsir Network Reconfiguration Using Graph Theory–Based Binary Genetic Algorithm To Reduce Loss and Improve Voltage Profile
عنوان مقاله: Bardsir Network Reconfiguration Using Graph Theory–Based Binary Genetic Algorithm To Reduce Loss and Improve Voltage Profile
شناسه ملی مقاله: EPDC17_068
منتشر شده در هفدهمین کنفرانس سراسری شبکه های توزیع نیروی برق در سال 1391
شناسه ملی مقاله: EPDC17_068
منتشر شده در هفدهمین کنفرانس سراسری شبکه های توزیع نیروی برق در سال 1391
مشخصات نویسندگان مقاله:
Hamid Reza Esmaeilian - Department of Electrical and Computer Engineering, Kerman Graduate Univ. of Technology, Kerman, Iran
Sajad Jashfar - Department of Electrical and Computer Engineering, Kerman Graduate Univ. of Technology, Kerman, Iran
Roohollah Fadaeinedjad - Department of Electrical and Computer Engineering, Kerman Graduate Univ. of Technology, Kerman, Iran
Saeid Esmaeili - Department of Electrical Engineering, Shahid Bahonar Univ. of Kerman, Kerman, Iran
خلاصه مقاله:
Hamid Reza Esmaeilian - Department of Electrical and Computer Engineering, Kerman Graduate Univ. of Technology, Kerman, Iran
Sajad Jashfar - Department of Electrical and Computer Engineering, Kerman Graduate Univ. of Technology, Kerman, Iran
Roohollah Fadaeinedjad - Department of Electrical and Computer Engineering, Kerman Graduate Univ. of Technology, Kerman, Iran
Saeid Esmaeili - Department of Electrical Engineering, Shahid Bahonar Univ. of Kerman, Kerman, Iran
The purpose of optimal reconfiguration of adistribution network is a matter of finding the best topology ofthe network to achieve the considered goals.This paper presentsan algorithm for optimal reconfiguration of distributionnetworks using Binary Genetic Algorithm (BGA) based onGraph Theory (GT) as a multi-objective optimization problem.The objective function considers the real power losses, and thenetwork voltage deviation index. Also, lines and transformersloading limits are considered as constraints in the optimizationproblem. To assess the capabilities of the proposed approach,two networks are studied: the IEEE 33-bus distribution networkas a small grid and Bardsir regional medium voltagedistribution network as a large–scale grid. Simulation resultsshow both voltage profile improvement and loss reductioncompared to the situation before the reconfiguration. Thealgorithm is implemented in MATLAB software and thenevaluated by DIgSILENT Power Facrory14.0.515 software
کلمات کلیدی: Genetic Algorithm, Graph Theory, Network Reconfiguration, Radial distribution Networks, Power Losses
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/182709/