Scenario-Based Fuel Constrained Short-Term Hydrothermal Scheduling

Chitralekha Jena; Mousumi Basu; Josep M. Guerrero; Abdullah Abusorrah; Yusuf Al-Turki; Baseem Khan; Andrea Justo; Arjyadhara Pradhan

doi:10.1109/ACCESS.2022.3230769

IEEE Access (Jan 2022)

Scenario-Based Fuel Constrained Short-Term Hydrothermal Scheduling

Chitralekha Jena,
Mousumi Basu,
Josep M. Guerrero,
Abdullah Abusorrah,
Yusuf Al-Turki,
Baseem Khan,
Andrea Justo,
Arjyadhara Pradhan

Affiliations

Chitralekha Jena: ORCiD; School of Electrical Engineering, KIIT University, Bhubaneswar, Odisha, India
Mousumi Basu: ORCiD; Department of Power Engineering, Jadavpur University, Kolkata, India
Josep M. Guerrero: ORCiD; Center for Research on Microgrids (CROM), AAU Energy, Aalborg University, Aalborg, Denmark
Abdullah Abusorrah: ORCiD; Department of Electrical and Computer Engineering, Faculty of Engineering, Center of Research Excellence in Renewable Energy and Power Systems, K. A. CARE Energy Research and Innovation Center, King Abdulaziz University, Jeddah, Saudi Arabia
Yusuf Al-Turki: Department of Electrical and Computer Engineering, Faculty of Engineering, Center of Research Excellence in Renewable Energy and Power Systems, K. A. CARE Energy Research and Innovation Center, King Abdulaziz University, Jeddah, Saudi Arabia
Baseem Khan: ORCiD; Department of Electrical and Computer Engineering, Hawassa University, Hawassa, Ethiopia
Andrea Justo: Center for Research on Microgrids (CROM), AAU Energy, Aalborg University, Aalborg, Denmark
Arjyadhara Pradhan: School of Electrical Engineering, KIIT University, Bhubaneswar, Odisha, India

DOI: https://doi.org/10.1109/ACCESS.2022.3230769
Journal volume & issue: Vol. 10
pp. 133733 – 133748

Abstract

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For electric power companies, the economic utilization of existing fossil fuel is currently a primary issue because of the diminishing supply of fossil fuel. Thermal power plants have fuel limitations and contractual restrictions that must be adhered to. As a result, the scenario-based fuel-constrained short-term hydrothermal scheduling problem with renewable energy sources is presented in this paper. The elephant clan optimization (ECO) approach is offered for short-term hydro-thermal scheduling (STHTS) with thermal generators, cascaded hydro, solar PV plants, wind turbine generators (WTG), and pumped storage hydro (PSH) with and without demand side management (DSM) for various scenarios. On a typical test system, the suggested approach is shown to be successful. An analysis of the typical test system’s numerical results is compared to those produced via the self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients (HPSO-TVAC) and grey wolf algorithms (GWO). The comparison shows that the suggested ECO is capable of providing a better solution.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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