دانلود مقاله ISI انگلیسی شماره 56256
ترجمه فارسی عنوان مقاله

روش تکامل دیفرانسیل چندهدفه برای مسئله برنامه ریزی توان راکتیو با پایداری ولتاژ محدود

عنوان انگلیسی
Multi Objective Differential Evolution approach for voltage stability constrained reactive power planning problem
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
56256 2014 11 صفحه PDF
منبع

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

Journal : International Journal of Electrical Power & Energy Systems, Volume 59, July 2014, Pages 155–165

ترجمه کلمات کلیدی
برنامه ریزی توان راکتیو - پایداری ولتاژ - شاخص ال؛ تکامل تفاضلی چندهدفه
کلمات کلیدی انگلیسی
Reactive power planning; Voltage stability; L-index; Multi Objective Differential Evolution
پیش نمایش مقاله
پیش نمایش مقاله  روش تکامل دیفرانسیل چندهدفه برای مسئله برنامه ریزی توان راکتیو با پایداری ولتاژ محدود

چکیده انگلیسی

This paper presents the application of Multi Objective Differential Evolution (MODE) algorithm to solve the Voltage Stability Constrained Reactive Power Planning (VSCRPP) problem. Minimization of total cost of energy loss and reactive power production cost of capacitors and maximization of voltage stability margin are taken as the objectives in the Reactive Power Planning (RPP) problem. The L-index of the load buses is taken as the indicator of voltage stability. In the proposed approach, generator bus voltage magnitudes, transformer tap settings and reactive power generation of capacitor bank are taken as the control variables and are represented as the combination of floating point numbers and integers. The MODE emphasizes the non dominated solutions and simultaneously maintains diversity in the non dominated solutions. DE/randSF/1/bin strategy scheme of Differential Evolution with self tuned parameter which employs binomial crossover and difference vector based mutation is used for the VSCRPP problem. A fuzzy based mechanism is employed to get the best compromise solution from the pareto front to aid the decision maker. The proposed reactive power planning model is implemented on two test systems, IEEE 30 bus and IEEE 57 bus test systems. The simulation results of the proposed optimization approach show that MODE is better in maintaining diversity and optimality of solutions.