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A Simple Approach for Short-Term Hydrothermal Self Scheduling for Generation Companies in Restructured Power System

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Proceedings of the 7th Brazilian Technology Symposium (BTSym’21) (BTSym 2021)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 295))

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Abstract

A methodology for solving profit-based short-term hydrothermal self-scheduling (SHTSS) in a restructured power system is discussed in this paper. The idea behind hydrothermal scheduling is to minimize the fuel cost by considering the legal system constraints. The SHTSS problem is solved by an intelligent algorithm, namely Improved Teaching Learning-Based Optimization (ITLBO) approach, which has a minimum number of parameters. The proposed ITLBO algorithm has three dynamic optimizing phases: teacher phase, learner phase, and feedback phase. The feedback phase eliminates the local optimum solutions and moves towards the best optimal solution with a lesser number of iterations. This algorithm permits precise modeling for the solution of the non-linear and non-convex problem of SHTSS. Numerical limitations were carried out for two cases wherein the first case has a power producer with four hydro and three thermal units with a 24-h time horizon, and the second one has a power producer with four hydro and eleven thermal units for 24 h. The simulation results of hourly water discharge. Hydro and thermal power generation, fuel cost, revenue, and profits are presented. A comparison has also been made in order to demonstrate the performance of the proposed approach in evolving the improved profits of the system.

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Author information

Authors and Affiliations

  1. Christ College of Engineering and Technology, Puducherry, India

    Y. Thiagarajan

  2. Priyadarshini College of Engineering and Technology, Nagari, Andhra Pradesh, India

    Baburao Pasupulati

  3. State University of Campinas, Campinas, Brazil

    Gabriel Gomes de Oliveira, Yuzo Iano & Gabriel Caumo Vaz

Authors
  1. Y. Thiagarajan
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  2. Baburao Pasupulati
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  3. Gabriel Gomes de Oliveira
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  4. Yuzo Iano
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  5. Gabriel Caumo Vaz
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Corresponding author

Correspondence to Y. Thiagarajan .

Editor information

Editors and Affiliations

  1. Faculty of Electrical and Computer Engineering, Unicamp, Campinas, São Paulo, Brazil

    Yuzo Iano

  2. Divisao de Engenharia Eletronica, Instituto Tecnologico de Aeronautica, Sao Jose dos Campos, São Paulo, Brazil

    Osamu Saotome

  3. Urb. Pampas de Santa Teresa, Dpto. E6-402, Santiago de Surco, Lima, Peru

    Guillermo Leopoldo Kemper Vásquez

  4. Pontifícia Universidade Católica de Campinas, Campinas, Brazil

    Claudia Cotrim Pezzuto

  5. Faculty of Electrical and Computer Engineering, Unicamp, Campinas, São Paulo, Brazil

    Rangel Arthur

  6. Universidade Estadual de Campinas, Hortolândia, Brazil

    Gabriel Gomes de Oliveira

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Thiagarajan, Y., Pasupulati, B., de Oliveira, G.G., Iano, Y., Vaz, G.C. (2022). A Simple Approach for Short-Term Hydrothermal Self Scheduling for Generation Companies in Restructured Power System. In: Iano, Y., Saotome, O., Kemper Vásquez, G.L., Cotrim Pezzuto, C., Arthur, R., Gomes de Oliveira, G. (eds) Proceedings of the 7th Brazilian Technology Symposium (BTSym’21). BTSym 2021. Smart Innovation, Systems and Technologies, vol 295. Springer, Cham. https://doi.org/10.1007/978-3-031-08545-1_38

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  • DOI: https://doi.org/10.1007/978-3-031-08545-1_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08544-4

  • Online ISBN: 978-3-031-08545-1

  • eBook Packages: EngineeringEngineering (R0)

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