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Load forecasting uncertainty (LFU) analysis on Multi objective reactive power dispatch (MORD) Using Monte Carlo Simulation (MCS)

عنوان مقاله: Load forecasting uncertainty (LFU) analysis on Multi objective reactive power dispatch (MORD) Using Monte Carlo Simulation (MCS)
شناسه ملی مقاله: ICEEE06_557
منتشر شده در ششمین کنفرانس مهندسی برق و الکترونیک ایران در سال 1393
مشخصات نویسندگان مقاله:

Seyed Masoud Mohseni Bonab - Department of Electrical engineering University of Zanjan Zanjan, Iran
Saeid Jalilzadeh - Department of Electrical engineering University of Zanjan Zanjan, Iran
Abbas Rabiee - Department of Electrical engineering University of Zanjan Zanjan, Iran
Behnam Mohammadi-Ivatloo - Department of Electrical engineering University of Zanjan Tabriz, Iran

خلاصه مقاله:
optimal reactive power dispatch (ORPD) due to nonlinear and discrete functions, continuous and discrete variables and discontinuous constraints is a complex issue in power systems. In this paper, the purpose is solving Multi objective reactive power dispatch (MORD) problem with considering bus voltage limits, the limits of each branch power flow, generators voltages, transformers tap changers and the amount of compensation on weak buses is to minimize the objectives functions. These parameters are available and their values calculated for best solution. In this paper for modeling load forecasting uncertainty (LFU) Monte Carlo simulation (MCS) is proposed. The objectives of this paper are real power losses and voltage deviations are conflicted and the both of these objectives by weighted sum method being multi objective. Since the proposed problem is multi objective optimization problem incorporating several solutions instead of one MCS is performed in order to find best answer. The optimization models are implemented and solved using the GAMS programing language and proposed method has been carried out on IEEE 14 – bus test system.

کلمات کلیدی:
Multi objective reactive power dispatch, constraint, active power loss, voltage deviations, Monte Carlo simulation, load forecasting uncertainty

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/384361/