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, Abdulaziz Almutairi

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number1008
JournalEnergies
Volume14
Issue number4
DOIs
Publication statusPublished - 02-02-2021

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Optimal scheduling of non-convex cogeneration units using exponentially varying whale optimization algorithm'. Together they form a unique fingerprint.

Cite this