دانلود مقاله ISI انگلیسی شماره 48055
ترجمه فارسی عنوان مقاله

تخصیص بهینه خازن ها در سیستم های توزیع شعاعی / مش با استفاده از روش برنامه ریزی غیر خطی عدد صحیح مختلط

عنوان انگلیسی
Optimal allocation of capacitors in radial/mesh distribution systems using mixed integer nonlinear programming approach
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
48055 2014 6 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Electric Power Systems Research, Volume 107, February 2014, Pages 119–124

ترجمه کلمات کلیدی
تخصیص خازن؛ روش MILP؛ سیستم های توزیع شعاعی/مش
کلمات کلیدی انگلیسی
Capacitor allocation; MINLP approach; Radial/mesh distribution systems
پیش نمایش مقاله
پیش نمایش مقاله  تخصیص بهینه خازن ها در سیستم های توزیع شعاعی / مش با استفاده از روش برنامه ریزی غیر خطی عدد صحیح مختلط

چکیده انگلیسی

Capacitors in radial/mesh distribution systems are used to supply reactive power to minimize loss and to improve the voltage profile. The appropriate placement of capacitors is also important to ensure that system power losses and total investment capacitor costs are minimal. The capacitor placement problem consists of finding specific sitting and sizing to install capacitor banks in an electrical distribution system. Consequently, the losses are reduced due to the compensation of the reactive component of power flow. This paper presents a new mixed integer nonlinear programming approach for capacitor placement in radial/mesh distribution systems that determine the optimal sitting and sizing of capacitors with an objective of reduction power loss and investment capacitor costs. The proposed method is applied to 10, 34, and 85-bus radial distribution systems and CIVANLAR mesh distribution system. Various-scale application systems are used to compare the performance of the proposed method with the Fuzzy reasoning, particle swim optimization (PSO), plant growth simulation algorithm (PGSA), and Heuristic based. Numerical results show that the performance of the proposed MINLP method is better than the other methods. Also, the MINLP method is superior to some other methods in terms of solution power loss and costs.