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The Enhanced Crow Search Algorithm for Fuel-Cost Function Parameters Assessment of the Cogeneration Units from Thermal Power Plants

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Soft Computing Applications (SOFA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1221))

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Abstract

Optimal dispatching of the thermal power plants which produce simultaneously heat and electricity (the cogeneration units) represents an important economical issue in power systems. To approach this problem it is necessary to establish the parameters for fuel-cost function as accurate as possible, these parameters showing the link between production costs of one unit, electrical power and amount of heat produced. In this paper, an enhanced crow search (ECS) algorithm is applied to estimate the fuel-cost parameters of the thermal units which produce only heat or operate in cogeneration mode. The ECS algorithm has the same framework as the original crow search (CS) algorithm, but it introduces a different relation to modify the solutions from the search space. The effectiveness of the ECS and CS is verified on a three-unit thermal system. The results obtained by the ECS and CS algorithms are compared with those obtained by other well-known algorithms.

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Authors and Affiliations

  1. University of Oradea, University St. 1, 410087, Oradea, Romania

    Dinu-Calin Secui, Simona Dzitac & Serban-Ioan Bunda

Authors
  1. Dinu-Calin Secui
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  2. Simona Dzitac
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  3. Serban-Ioan Bunda
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Corresponding author

Correspondence to Simona Dzitac .

Editor information

Editors and Affiliations

  1. “Aurel Vlaicu” University of Arad, Faculty of Engineering, Arad, Romania

    Valentina Emilia Balas

  2. Faculty of Engineering and Information Technology, University of Technology Sydney, Centre for Artificial Intelligence, Sydney, Australia

    Lakhmi C. Jain

  3. Faculty of Engineering, “Aurel Vlaicu” University of Arad, Arad, Arad, Romania

    Marius Mircea Balas

  4. Department of Information Technology and Programming, Azerbaijan Technical University, Baku, Azerbaijan

    Shahnaz N. Shahbazova

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Secui, DC., Dzitac, S., Bunda, SI. (2021). The Enhanced Crow Search Algorithm for Fuel-Cost Function Parameters Assessment of the Cogeneration Units from Thermal Power Plants. In: Balas, V., Jain, L., Balas, M., Shahbazova, S. (eds) Soft Computing Applications. SOFA 2018. Advances in Intelligent Systems and Computing, vol 1221. Springer, Cham. https://doi.org/10.1007/978-3-030-51992-6_3

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