An Examination of Optimization Techniques for Resolving Hydro Generation Scheduling Issues

Hydropower plants' optimal scheduling of energy (OSE) is a crucial component of electric power systems and is a topic of intense academic investigation. Compared to other sustainable power sources, hydropower has a negligible impact on the environment and society. The goal of the three-time period hydro scheduling (TPHS) challenges is to maximize energy generation by exploit-ing the accessible possible within a certain term of time by optimizing the power generating schedule of the available hydropower units. First, a variety of conventional optimization techniques are of-fered to help solve the TPHS problem. Recently, a number of optimization techniques were used to determine the best solution for the energy production scheduling of hydro systems. These tech-niques were allocated as a technique rely on involvements. This article provides a thorough analysis of the application of numerous techniques to obtain the OSE of hydro units via looking at the tech-niques used from different angles. The best answers from a variety of meta-heuristic optimization procedures are determined for a range of experience situations. The methods that are offered are contrasted according to this particular research, parameter limitations, optimization strategies, and primary objective consideration. The majority of prior research has concentrated on hydro schedul-ing, which is according to a reservoir of hydroelectric units. Issues of forthcoming studies—which are outlined as the main concern surrounding the TPHS problem—are also taken into account.

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Publication Details

Journal
Edison journal for electrical and electronics engineering.
Published
2024-12-13
DOI
https://doi.org/10.62909/ejeee.2024.008
Citations
1
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
0.21
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article

An Examination of Optimization Techniques for Resolving Hydro Generation Scheduling Issues

Bassam Mohsin Atiyah, Anwar H. Hameed
1 citations
Edison journal for electrical and electronics engineering.
Electric Power System Optimization
0.21
article

An Examination of Optimization Techniques for Resolving Hydro Generation Scheduling Issues

Bassam Mohsin Atiyah, Anwar H. Hameed
article en
1 citations

Abstract

Hydropower plants' optimal scheduling of energy (OSE) is a crucial component of electric power systems and is a topic of intense academic investigation. Compared to other sustainable power sources, hydropower has a negligible impact on the environment and society. The goal of the three-time period hydro scheduling (TPHS) challenges is to maximize energy generation by exploit-ing the accessible possible within a certain term of time by optimizing the power generating schedule of the available hydropower units. First, a variety of conventional optimization techniques are of-fered to help solve the TPHS problem. Recently, a number of optimization techniques were used to determine the best solution for the energy production scheduling of hydro systems. These tech-niques were allocated as a technique rely on involvements. This article provides a thorough analysis of the application of numerous techniques to obtain the OSE of hydro units via looking at the tech-niques used from different angles. The best answers from a variety of meta-heuristic optimization procedures are determined for a range of experience situations. The methods that are offered are contrasted according to this particular research, parameter limitations, optimization strategies, and primary objective consideration. The majority of prior research has concentrated on hydro schedul-ing, which is according to a reservoir of hydroelectric units. Issues of forthcoming studies—which are outlined as the main concern surrounding the TPHS problem—are also taken into account.

Edison journal for electrical and electronics engineering.Vol. 2
Universiti Sains Malaysia (MY), Islamic Azad University of Kermanshah (IR), Islamic Azad University Kerman (IR)
Responsible consumption and production
Openalex Percentile: Top 45%
Electric Power System Optimization
0.21
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