LAPSE:2023.29682
Published Article
LAPSE:2023.29682
Optimal Scheduling of Non-Convex Cogeneration Units Using Exponentially Varying Whale Optimization Algorithm
April 13, 2023
This paper proposes an Exponentially Varying Whale Optimization Algorithm (EVWOA) to solve the single-objective non-convex Cogeneration Units problem. This problem seeks to evaluate the optimal output of the generator unit to minimize a CHP system’s fuel costs. The nonlinear and non-convex characteristics of the objective function demands a powerful optimization technique. The traditional Whale Optimization Algorithm (WOA) is improved by incorporating four different acceleration functions to fine-tune its performance during exploration and exploitation phases. Among the four variants of the proposed WOA, the emphasis is laid on the EVWOA which uses the exponentially varying acceleration function (EVAF). The proposed EVWOA is tested on six different small-scale to large-scale systems. The results obtained for these six test systems, followed by a statistical study highlight the supremacy of EVWOA for finding the best optimal solution and the convergence traits.
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Keywords
Cogeneration plants, Combined Heat and Power Unit (CHP), Exponentially Varying Acceleration Functions, Meta-heuristic Optimization, Non-convex Optimal Economic Scheduling, Whale Optimization Algorithm (WOA)
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Suggested Citation
Jadoun VK, Prashanth GR, Joshi SS, Agarwal A, Malik H, Alotaibi MA, Almutairi A. Optimal Scheduling of Non-Convex Cogeneration Units Using Exponentially Varying Whale Optimization Algorithm. (2023). LAPSE:2023.29682
Author Affiliations
Jadoun VK: Department of Electrical & Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India [ORCID]
Prashanth GR: Department of Electrical & Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India [ORCID]
Joshi SS: Department of Electrical & Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India [ORCID]
Agarwal A: Department of Electrical Engineering, National Institute of Technology, Delhi 110040, India
Malik H: BEARS, University Town, NUS Campus, Singapore 138602, Singapore [ORCID]
Alotaibi MA: Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia; Saudi Electricity Company Chair in Power System Reliability and Security, King Saud University, Riyadh 11421, Saudi Arabia [ORCID]
Almutairi A: Department of Electrical Engineering, College of Engineering, Majmaah University, Al Majma’ah 11952, Saudi Arabia
Prashanth GR: Department of Electrical & Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India [ORCID]
Joshi SS: Department of Electrical & Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India [ORCID]
Agarwal A: Department of Electrical Engineering, National Institute of Technology, Delhi 110040, India
Malik H: BEARS, University Town, NUS Campus, Singapore 138602, Singapore [ORCID]
Alotaibi MA: Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia; Saudi Electricity Company Chair in Power System Reliability and Security, King Saud University, Riyadh 11421, Saudi Arabia [ORCID]
Almutairi A: Department of Electrical Engineering, College of Engineering, Majmaah University, Al Majma’ah 11952, Saudi Arabia
Journal Name
Energies
Volume
14
Issue
4
First Page
1008
Year
2021
Publication Date
2021-02-15
Published Version
ISSN
1996-1073
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PII: en14041008, Publication Type: Journal Article
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LAPSE:2023.29682
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doi:10.3390/en14041008
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Apr 13, 2023
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