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2023 | OriginalPaper | Chapter

Optimization of Economic and Environmental Dispatch Using Bio-inspired Computer Metaheuristics

Authors : Manoel Henrique Reis Nascimento, Jandecy Cabral Leite, Alexandra Amaro de Lima, Edson Farias de Oliveira, Ítalo Rodrigo Soares da Silva, Ricardo Silva Parente, Jorge Laureano Moya Rodríguez, Paulo Oliveira Siqueira Junior

Published in: Modernization of Electric Power Systems

Publisher: Springer International Publishing

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Abstract

Owing to the industrial development of the Amazon Region, mainly in the Industrial Pole of Manaus, and the consequent increase in the need for energy generation, of which in this region more than 90% is supplied by thermoelectric power plants (TPPs), it became necessary to use of artificial intelligence techniques that provide TPP managers with support in decision making in defining the optimal output power of each generator, contemplating the reduction of costs and the indices of pollution in the atmosphere. The economic dispatch, or optimal dispatch, is one of the oldest and most important tasks in the management of electric power plants, and, owing to the severe impacts caused to the environment, this problem was extended to the optimization of the economic and environmental dispatch (EED). In this chapter it is proposed to present a new solution to the old EED optimization problem implemented by heuristic methods (nondominated genetic algorithm of classification, NSGA-II and NSGA-III), considering the shutdown of the generators with the highest operating cost, with the consequent reduction in fuel costs. The incremental cost and transmission losses are weighted in determining output optimal power values of the generators, meeting the restrictions of balance between total power and demand, losses, and reducing total fuel consumption, emissions, and even improving the efficiency of the TPPs. The proposed solution includes the following contributions: the shutdown of engines with higher fuel costs, reducing total costs, allowing for predictive maintenance on these engines; to determine optimal values of rated power in several scenarios in the TPP, considering variations in power generation and in the reduction of NOx and CO₂ emissions. To analyze the results of the proposed method, a set of generators from a TPP in Amazonas was used as parameters for the case study. The results presented in the proposal, from the analysis of several practical examples, show significant reductions in fuel costs and in pollution indices.

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Title: Optimization of Economic and Environmental Dispatch Using Bio-inspired Computer Metaheuristics
Authors: Manoel Henrique Reis Nascimento
Jandecy Cabral Leite
Alexandra Amaro de Lima
Edson Farias de Oliveira
Ítalo Rodrigo Soares da Silva
Ricardo Silva Parente
Jorge Laureano Moya Rodríguez
Paulo Oliveira Siqueira Junior
Publisher: Springer International Publishing
Book: Modernization of Electric Power Systems
Print ISBN: 978-3-031-18995-1

Electronic ISBN: 978-3-031-18996-8

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-3-031-18996-8_11