Optimal Scheduling of Non-Convex Cogeneration Units Using Exponentially Varying Whale Optimization Algorithm

Vinay Kumar Jadoun, G. Rahul Prashanth, Siddharth Suhas Joshi, Anshul Agarwal, Hasmat Malik, Majed A. Alotaibi and Abdulaziz Almutairi
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Vinay Kumar Jadoun: Department of Electrical & Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India
G. Rahul Prashanth: Department of Electrical & Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India
Siddharth Suhas Joshi: Department of Electrical & Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India
Anshul Agarwal: Department of Electrical Engineering, National Institute of Technology, Delhi 110040, India
Hasmat Malik: BEARS, University Town, NUS Campus, Singapore 138602, Singapore
Majed A. Alotaibi: Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia
Abdulaziz Almutairi: Department of Electrical Engineering, College of Engineering, Majmaah University, Al Majma’ah 11952, Saudi Arabia

Energies, 2021, vol. 14, issue 4, 1-30

Abstract: 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.

Keywords: Combined Heat and Power Unit (CHP); Non-convex Optimal Economic Scheduling; Cogeneration plants; Whale Optimization Algorithm (WOA); Exponentially Varying Acceleration Functions; Meta-heuristic Optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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