A Generation Expansion Planning using the PSO-GA algorithm to Reduce Carbon Emissions

Generation expansion planning (GEP) is a part of network development planning in which the goal is to determine the characteristics of new power plants that are used to develop the existing productive system. In this article, reducing the number of greenhouse gases in the power system is considered in the long-term planning horizon. In addition, much effort has been made to minimize production costs and maximize power plant profits. According to the results obtained in this paper, the following points can be deduced: Oil power plants are beneficial in both scenarios. For this reason, in both cases, many of these power plants enter the circuit. In the 12-year planning horizon, many liquified natural gas (LNG) power plants have entered the circuit. Nuclear power plants have a large capacity. Also, the maintenance cost of these power plants is low, that's why these power plants are used at the beginning of planning. In the second scenario, fewer LNG power plants are built due to a high tax on LNG plants. Reducing the number of power plants reduces the amount of carbon produced.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/isgteurope62998.2024.10863538
Citations
1
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
0.21
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article

A Generation Expansion Planning using the PSO-GA algorithm to Reduce Carbon Emissions

Mahmoud Zadehbagheri, Igor Kuzle
1 citations
Electric Power System Optimization
0.21
article

A Generation Expansion Planning using the PSO-GA algorithm to Reduce Carbon Emissions

Mahmoud Zadehbagheri, Igor Kuzle
article en
1 citations

Abstract

Generation expansion planning (GEP) is a part of network development planning in which the goal is to determine the characteristics of new power plants that are used to develop the existing productive system. In this article, reducing the number of greenhouse gases in the power system is considered in the long-term planning horizon. In addition, much effort has been made to minimize production costs and maximize power plant profits. According to the results obtained in this paper, the following points can be deduced: Oil power plants are beneficial in both scenarios. For this reason, in both cases, many of these power plants enter the circuit. In the 12-year planning horizon, many liquified natural gas (LNG) power plants have entered the circuit. Nuclear power plants have a large capacity. Also, the maintenance cost of these power plants is low, that's why these power plants are used at the beginning of planning. In the second scenario, fewer LNG power plants are built due to a high tax on LNG plants. Reducing the number of power plants reduces the amount of carbon produced.

University of Zagreb (HR), Islamic Azad University Yasuj (IR)
Openalex Percentile: Top 44%
Electric Power System Optimization
0.21
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A Generation Expansion Planning using the PSO-GA algorithm to Reduce Carbon Emissions — Mahmoud Zadehbagheri, Igor Kuzle · (2024) | TGRS Research Map | TGRS