Probabilistic Multi Objective Optimal Reactive Power Dispatch Considering Load Uncertainties Using Monte Carlo Simulations
Publish Year: 1394
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JOAPE-3-1_007
تاریخ نمایه سازی: 13 آبان 1402
Abstract:
Optimal Reactive Power Dispatch (ORPD) is a multi-variable problem with nonlinear constraints and continuous/discrete decision variables. Due to the stochastic behavior of loads, the ORPD requires a probabilistic mathematical model. In this paper, Monte Carlo Simulation (MCS) is used for modeling of load uncertainties in the ORPD problem. The problem is formulated as a nonlinear constrained multi objective (MO) optimization problem considering two objectives, i.e., minimization of active power losses and voltage deviations from the corresponding desired values, subject to full AC load flow constraints and operational limits. The control variables utilized in the proposed MO-ORPD problem are generator bus voltages, transformers’ tap ratios and shunt reactive power compensation at the weak buses. The proposed probabilistic MO-ORPD problem is implemented on the IEEE ۳۰-bus and IEEE ۱۱۸-bus tests systems. The obtained numerical results substantiate the effectiveness and applicability of the proposed probabilistic MO-ORPD problem.
Authors
S.M. Mohseni-Bonab
۱Departemant of Electrical Engineering, University of Zanjan, Zanjan, Iran
A. Rabiee
۱Departemant of Electrical Engineering, University of Zanjan, Zanjan, Iran
S. Jalilzadeh
Departemant of Electrical Engineering, University of Zanjan, Zanjan, Iran
B. Mohammadi-Ivatloo
۲Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
S. Nojavan
۲Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran