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Sayyad Nojavan

Sayyad Nojavan

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId:
HIndex: 0/00
Faculty: Faculty of Engineering
Address:
Phone: 09148903379

Research

Title
A two-point estimate method for uncertainty modeling in multi-objective optimal reactive power dispatch problem
Type
JournalPaper
Keywords
Monte Carlo simulation (MCS) Multi objective optimal reactive power dispatch (MO-ORPD) Real power loss (PL) Two-point estimate method (TPEM) Uncertainty Voltage deviation (VD)
Year
2016
Journal INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
DOI
Researchers Seyed Masoud Mohseni-Bonab ، Abbas Rabiee ، Behnam Mohammadi-ivatloo ، saeid jalilzadeh ، Sayyad Nojavan

Abstract

Due to nonlinear and discrete variables and constraints, optimal reactive power dispatch (ORPD) is a complex optimization problem in power systems. In this paper, the purpose is to solve multi objective ORPD (MO-ORPD) problem considering bus voltage limits, the limits of branches power flow, generators voltages, transformers tap changers and the amount of compensation on weak buses. The objectives of this paper are real power losses and voltage deviations from their corresponding nominal values, which are conflicting objectives. Because of the stochastic behavior of loads, the MO-ORPD problem requires a probabilistic approach. Hence, in this paper, a two-point estimate method (TPEM) is proposed to model the load uncertainty in MO-ORPD problem. Moreover, the proposed method is compared with some other methods such as deterministic approaches and Monte Carlo simulations (MCS). The obtained results approve the efficiency of the proposed methodology. The proposed models are implemented and solved using GAMS optimization package and verified using IEEE 14-bus and IEEE 30-bus standard test systems