The solution of the economic dispatch problem via an efficient Teaching-Learning-Based Optimization method

Carlos Castro; Fernanda L. Silva

doi:10.32397/tesea.vol4.n1.510

Authors

Carlos Castro Pontifical Catholic University of Campinas https://orcid.org/0000-0002-0188-5846
Fernanda L. Silva Pontifical Catholic University of Campinas https://orcid.org/0000-0002-9133-1213

DOI:

https://doi.org/10.32397/tesea.vol4.n1.510

Keywords:

Economic Dispatch Problem, Power Generation Optimization, Teaching-Learning-Based Optimization, Metaheuristic Algorithms, Nonconvex Model, Parameter-Free Algorithm, Power System Constraints, Power Systems Simulation

Abstract

This paper is concerned with the economic generation dispatch problem. It is a well-known fact that practical aspects of power plant equipment, as well as the objectives to be met, may result in a nonconvex, nondifferentiable model that poses difficulties to conventional mathematical programming methods. This paper proposes the use of metaheuristic Teaching-Learning-Based Optimization to overcome such difficulties. This metaheuristic is well known for requiring a few parameters and, most importantly, it does not require the tuning of problem-dependent parameters. The algorithm proposed in this work is parameter-free; that is, the few parameters required by the Teaching-Learning-Based Optimization method are set automatically based on the power system’s data. In addition, the handling of constraints, such as generators’ prohibited zones and the generator-load-loss power balance, is performed in a very efficient way. Simulation results are shown for power systems containing 3 to 40 generation units, and the results provided by the proposed method are shown and discussed based on comparisons with other metaheuristics and a mathematical programming technique.

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Author Biographies

Carlos Castro, Pontifical Catholic University of Campinas

Professor, Electrical Engineering Department, Pontifical Catholic University of Campinas.
Fernanda L. Silva, Pontifical Catholic University of Campinas

Student, Electrical Engineering Department, Pontifical Catholic University of Campinas.

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