A grasshopper optimization algorithm for optimal short-term hydrothermal scheduling

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Detail(s)

Original languageEnglish
Pages (from-to)314-323
Journal / PublicationEnergy Reports
Volume7
Online published4 Jan 2021
Publication statusOnline published - 4 Jan 2021

Abstract

The optimal generation for short-term hydrothermal scheduling (OGStHS) with the deliberation of various purposes is a complex non-linear constrained optimization problem. There exist numerous constraints, which make the OGStHS optimization problem more complicated. The considered constraints for this problem are mostly related to energy performance, operational conditions, water, and power infrastructure. All these constraints would generally influence the cost of fuel. In this study, a multi-objective optimization form of OGStHS is suggested to estimate the minimum cost of fuel, which mainly influences industrial operation. The water transfer delays among multi-related reservoirs and the thermal plants’ valve-point influences are considered for the accurate formulation of the OGStHS problem. Meantime, a grasshopper optimization algorithm (GOA) is performed to handle the OGStHS problem by getting optimized for both objectives concurrently. A modern approach is shown in this study to get a solution to the OGStHS problem. Furthermore, to deal with the complex restraints efficiently, modern heuristic restriction treatment processes with no drawback impact frames have been offered in this study. Two hydrothermal power systems have illustrated the suggested GOA technique’s utility and performance. Compared with other available approaches, the analytical results are admitted that GOA can provide a better understanding by decreasing fuel cost and emission concurrently.


Research Area(s)

  • Thermal power plants, Co-ordinated hydrothermal, Hydrothermal constraint, Water transfer delays, Valve-point influences, Grasshopper optimization algorithm

Citation Format(s)

A grasshopper optimization algorithm for optimal short-term hydrothermal scheduling. / Zeng, Xie; Hammid, Ali Thaeer; Kumar, Nallapaneni Manoj; Subramaniam, Umashankar; Almakhles, Dhafer J.

In: Energy Reports, Vol. 7, 11.2021, p. 314-323.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review