Probabilistic Optimal Power Flow in Large-Scale Electric Transmission Systems through a Matheuristic Solution Approach

Authors

Keywords:

Matheuristic, multi-objective optimization, probabilistic optimal power flow, VND heuristic approach

Abstract

This paper proposes a new optimization methodology to solve the AC optimal power flow (OPF) problem considering renewable energy sources (RES). The formulation of the OPF problem comprises the minimization of power generation costs and gas emissions considering a set of operational and physical constraints. This minimization is achieved through controlling power dispatch generators, position changing of the tap transformers, and controllable reactive shunt compensation. RES and demand uncertainties are modeled using the (2m+1) point-estimate method. The mathematical formulation of the OPF problem is a mixed-integer nonlinear programming multiobjective model. A matheuristic algorithm is proposed to solve this problem efficiently, combining a classic nonlinear OPF model and the Variable Neighborhood Descent (VND) metaheuristic algorithm. The potential of the proposed algorithm is shown through numerical experiments carried out using the IEEE 300-bus systems.

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Author Biographies

Wmerson Claro de Oliveira, Sao Paulo State University

Wmerson Claro de Oliveira received a B.Sc. degree in electrical engineering from the Universidade do Estado de Mato Grosso (UNEMAT), Brazil, in 2018 and an M.Sc degree in electrical engineering from the São Paulo State University (UNESP), Ilha Solteira, Brazil, in 2020.
His research interests include the development of methodologies for the optimization of electrical power systems.

Jairo Gonzalo Yumbla Romero, Sao Paulo State University

Jairo Gonzalo Yumbla Romero received the B.Sc. degree from the University of Cuenca, Cuenca, Ecuador, in 2018, and the M.Sc. degree from the São Paulo State University (UNESP), Ilha Solteira, Brazil, in 2021; both in electrical engineering. He is currently pursuing his doctor's degree at the UNESP. His research interests include the development of methodologies for the planning and control of electrical power systems, renewable energies, and applications of artificial intelligence for smart grids.

Lucas do Carmo Yamaguti, Sao Paulo State University

Lucas do Carmo Yamaguti received B.Sc. and M.Sc. degrees from the Sao Paulo State University (UNESP), Ilha Solteira, Brazil, in 2017 and 2019, respectively, all in electrical engineering.
He is currently working for a Ph.D. degree at the Sao Paulo State University (UNESP), Ilha Solteira, Brazil. His research interests include the development of methodologies for the optimization and planning of electrical power systems.

Juan Manuel Home Ortiz, São Paulo State University

Juan M. Home-Ortiz received the B.Sc. and M.Sc. degrees in electrical engineering from the Universidad Tecnológica de Pereira, Colombia, in 2011 and 2014, respectively, and the Ph.D. degree in electrical engineering from the São Paulo State University (UNESP), Ilha Solteira, Brazil, in 2019. Currently, he is carrying out postdoctoral research with the UNESP. His research interests include the development of methodologies for the optimization, planning, and control, of electrical power systems.

Jose Roberto Sanches Mantovani, Sao Paulo State University

received
the B.Sc. degree from the Sao Paulo State University (UNESP), Ilha Solteira, Brazil, in 1981, and the M.Sc. and Ph.D. degrees from the University of Campinas, Campinas, Brazil, in 1987 and 1995, respectively, all in electrical engineering. He is currently a Professor with the Department of Electrical Engineering, UNESP. His research interests include the development of methodologies for the optimization, planning, and control of electrical power systems and applications of artificial intelligence in power systems.

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Published

2023-09-15

How to Cite

Claro de Oliveira, W., Yumbla Romero, J. G., do Carmo Yamaguti, L., Home Ortiz, J. M., & Sanches Mantovani, J. R. (2023). Probabilistic Optimal Power Flow in Large-Scale Electric Transmission Systems through a Matheuristic Solution Approach. IEEE Latin America Transactions, 21(10), 1132–1143. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/7133

Issue

Vol. 21 No. 10 (2023): Ordinary Issue

Section

Electric Energy

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