Probabilistic Optimal Power Flow for Balanced Islanded Microgrids

Authors

Keywords:

islanded microgrids, probabilistic optimal power flow, unscented transformation, differential evolution, power losses minimization, load uncertainty

Abstract

This paper presents a Probabilistic Optimal Power Flow (POPF) for losses minimization in balanced islanded microgrids considering load uncertainties following a normal distribution. The peculiarities of the islanded operation, like the absence of infinite bus and frequency variation in the face of load and loss variations, are adequately considered. The constraints deal with the power balancing, angular reference, droop control mode of generators (P-f e Q-V), and the probability of satisfying the limits of microgrid frequency, nodal voltages, and power generation. As the main contribution, the Differential Evolution method and the Unscented Transformation solve the POPF, reducing the computational time and providing accurate results compared with the Monte Carlo Simulation. The proposed approach is evaluated using a 33-bus islanded microgrid.

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Author Biography

Wesley Peres, Federal University of São João del-Rei, São João del-Rei, Minas Gerais, 36.307-352, Brazil

Wesley Peres received the B.Sc., the M.Sc., and the D.Sc. degrees in Electrical Engineering from the Federal University of Juiz de Fora, Brazil, in 2010, 2012, and 2016. He is currently a Professor at the Department of Electrical Engineering of the Federal University of São João del-Rei, Brazil.

His main research areas include: Power System Stability, Dynamic and Control, Power System State Estimation, Power System Optimization, and Microgrids.

Memberships: IEEE Institute of Electrical and Electronics Engineers (since 2014) and Brazilian Automation Society (since 2015). IEEE Senior Member Grade Elevation: April/2022.

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Published

2022-09-26

How to Cite

Peres, W. (2022). Probabilistic Optimal Power Flow for Balanced Islanded Microgrids. IEEE Latin America Transactions, 21(1), 167–174. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/7218

Issue

Section

Electric Energy