Dynamic Multi-Level Generation and Transmission Expansion Planning Model of Multi-Carrier Energy System to Improve Resilience of Power System

Since the presence of an energy hub (EH) leads to change the expansion planning problem of electrical power system. Therefore, in this study, the nature of optimal generation and transmission expansion planning in the presence of EH is studied. Also, the effect of applying the proposed hub with and...

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Main Authors: Mahnaz Rezaei, Mohammad Askari, Meysam Amirahmadi, Vahid Ghods
Format: Article
Language:English
Published: University of Sistan and Baluchestan 2023-03-01
Series:International Journal of Industrial Electronics, Control and Optimization
Subjects:
Online Access:https://ieco.usb.ac.ir/article_7432_744ff82fabc3a5df86f0be204f8fbaa9.pdf
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author Mahnaz Rezaei
Mohammad Askari
Meysam Amirahmadi
Vahid Ghods
author_facet Mahnaz Rezaei
Mohammad Askari
Meysam Amirahmadi
Vahid Ghods
author_sort Mahnaz Rezaei
collection DOAJ
description Since the presence of an energy hub (EH) leads to change the expansion planning problem of electrical power system. Therefore, in this study, the nature of optimal generation and transmission expansion planning in the presence of EH is studied. Also, the effect of applying the proposed hub with and without considering energy storages (ESs) as well as the short and long-term corrective actions to reduce the losses and costs are investigated. In addition, demand response and line transmission switching are considered as effective approaches to improve resilience in the proposed dynamic multi-level model. This nonlinear problem is solved sequentially considering the random approach and using differential evolution algorithm (DEA) and the symphony orchestra search algorithm (SOSA). In this paper, the proposed objective functions are studied in five-level and the results show the efficiency of this model in solving the planning problem. The findings show that the proposed planning model decreased capital costs of transmission switches as much as 26%, the capital cost of the transmission as much as 2.29%, the congestion cost as much as 1.8%, The capital cost of generation units as much as 3.75%, the payment capacity paid to generation units as much as 1.8%. Also, the expected profit of the generation units has increased as much as 3.75%. To show the competence of the proposed algorithms, the 400-kV test system with 52 buses in Iran is simulated in MATLAB environment.
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spelling doaj.art-dbac7ebc20b546f083621273bbe46b4f2023-04-09T07:07:26ZengUniversity of Sistan and BaluchestanInternational Journal of Industrial Electronics, Control and Optimization2645-35172645-35682023-03-0161133010.22111/ieco.2023.42385.14287432Dynamic Multi-Level Generation and Transmission Expansion Planning Model of Multi-Carrier Energy System to Improve Resilience of Power SystemMahnaz Rezaei0Mohammad Askari1Meysam Amirahmadi2Vahid Ghods3Department of Electrical Engineering, Semnan Branch, Islamic Azad University, Semnan, IranFaculty of Department of Electrical and Electronic Engineering, Semnan Branch, Islamic Azad University, Semnan, IranDepartment of Electrical and Electronic Engineering, Semnan Branch, Islamic Azad University, Semnan, IranDepartment of Electrical Engineering, Semnan Branch, Islamic Azad University, Semnan, IranSince the presence of an energy hub (EH) leads to change the expansion planning problem of electrical power system. Therefore, in this study, the nature of optimal generation and transmission expansion planning in the presence of EH is studied. Also, the effect of applying the proposed hub with and without considering energy storages (ESs) as well as the short and long-term corrective actions to reduce the losses and costs are investigated. In addition, demand response and line transmission switching are considered as effective approaches to improve resilience in the proposed dynamic multi-level model. This nonlinear problem is solved sequentially considering the random approach and using differential evolution algorithm (DEA) and the symphony orchestra search algorithm (SOSA). In this paper, the proposed objective functions are studied in five-level and the results show the efficiency of this model in solving the planning problem. The findings show that the proposed planning model decreased capital costs of transmission switches as much as 26%, the capital cost of the transmission as much as 2.29%, the congestion cost as much as 1.8%, The capital cost of generation units as much as 3.75%, the payment capacity paid to generation units as much as 1.8%. Also, the expected profit of the generation units has increased as much as 3.75%. To show the competence of the proposed algorithms, the 400-kV test system with 52 buses in Iran is simulated in MATLAB environment.https://ieco.usb.ac.ir/article_7432_744ff82fabc3a5df86f0be204f8fbaa9.pdfcorrective actionscoordinated gep & tep (cgtep)multi-carrier energy systemresilience improvement
spellingShingle Mahnaz Rezaei
Mohammad Askari
Meysam Amirahmadi
Vahid Ghods
Dynamic Multi-Level Generation and Transmission Expansion Planning Model of Multi-Carrier Energy System to Improve Resilience of Power System
International Journal of Industrial Electronics, Control and Optimization
corrective actions
coordinated gep & tep (cgtep)
multi-carrier energy system
resilience improvement
title Dynamic Multi-Level Generation and Transmission Expansion Planning Model of Multi-Carrier Energy System to Improve Resilience of Power System
title_full Dynamic Multi-Level Generation and Transmission Expansion Planning Model of Multi-Carrier Energy System to Improve Resilience of Power System
title_fullStr Dynamic Multi-Level Generation and Transmission Expansion Planning Model of Multi-Carrier Energy System to Improve Resilience of Power System
title_full_unstemmed Dynamic Multi-Level Generation and Transmission Expansion Planning Model of Multi-Carrier Energy System to Improve Resilience of Power System
title_short Dynamic Multi-Level Generation and Transmission Expansion Planning Model of Multi-Carrier Energy System to Improve Resilience of Power System
title_sort dynamic multi level generation and transmission expansion planning model of multi carrier energy system to improve resilience of power system
topic corrective actions
coordinated gep & tep (cgtep)
multi-carrier energy system
resilience improvement
url https://ieco.usb.ac.ir/article_7432_744ff82fabc3a5df86f0be204f8fbaa9.pdf
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AT meysamamirahmadi dynamicmultilevelgenerationandtransmissionexpansionplanningmodelofmulticarrierenergysystemtoimproveresilienceofpowersystem
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