A techno-economic planning model for integrated generation and transmission expansion in modern power systems with renewables and energy storage using hybrid Runge Kutta-gradient-based optimization algorithm
This paper presents an integrated generation and transmission expansion planning (G&TEP) model embedding with energy storage systems (ESSs) to reduce G&TEP projects’ cost, enhance power system’s reliability, decrease carbon emission, and increase the penetration of renewable energy systems....
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
|
| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722008307 |
| _version_ | 1797902038343876608 |
|---|---|
| author | Muhyaddin Rawa Zenah M. AlKubaisy Sultan Alghamdi Mohamed M. Refaat Ziad M. Ali Shady H.E. Abdel Aleem |
| author_facet | Muhyaddin Rawa Zenah M. AlKubaisy Sultan Alghamdi Mohamed M. Refaat Ziad M. Ali Shady H.E. Abdel Aleem |
| author_sort | Muhyaddin Rawa |
| collection | DOAJ |
| description | This paper presents an integrated generation and transmission expansion planning (G&TEP) model embedding with energy storage systems (ESSs) to reduce G&TEP projects’ cost, enhance power system’s reliability, decrease carbon emission, and increase the penetration of renewable energy systems. ESSs are a key component of modern power grids for their ability to solve many challenges and problems. Electrical system operators and planners often resort to ESSs, which are considered promising technology and are sometimes the only economically viable way to address deficiencies in the planning phase, specifically in the presence of renewable energy sources. However, choosing the right ESS type to solve a problem is still a challenge and essential to cost-effectively integrating ESSs into power systems. In this work, a techno-economic planning model is formulated to decide on a suitable ESS type for the optimal configuration of two power systems, taking into account the technical and economic aspects of ESSs. Three long-term and seven medium-term types of ESSs were tested for this purpose. A hybrid scheme of Runge Kutta optimizer and gradient-based optimizer is applied to solve the problem. The proposed planning model is implemented on the known Garver system and a real system in Egypt (Egyptian west delta network). The numerical results found that pumped hydroelectric storage is the most effective type in achieving N-1 reliability constraints, increasing the use of RESs, and reducing the planning cost. ESSs enhanced systems’ security and reduced the total planning cost by 0.86%–2.35% for the Garver network. The results showed that using ESSs is necessary for some power systems, like the west delta network, to avoid rolling blackouts. The investment and operating costs of ESSs, in the presence of RESs, reach more than 50 % of the total planning cost in some case studies. However, ESSs, in the absence of RESs and reliability constraints, increase the planning cost by 5%–50%. Finally, the hybrid scheme proved its superiority in solving the proposed problem. |
| first_indexed | 2024-04-10T09:11:28Z |
| format | Article |
| id | doaj.art-d96de4fdf3cf47a789ccb80b9fef8454 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T09:11:28Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-d96de4fdf3cf47a789ccb80b9fef84542023-02-21T05:11:27ZengElsevierEnergy Reports2352-48472022-11-01864576479A techno-economic planning model for integrated generation and transmission expansion in modern power systems with renewables and energy storage using hybrid Runge Kutta-gradient-based optimization algorithmMuhyaddin Rawa0Zenah M. AlKubaisy1Sultan Alghamdi2Mohamed M. Refaat3Ziad M. Ali4Shady H.E. Abdel Aleem5Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia; Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi ArabiaDepartment of Management Information System, Faculty of Economics and Administration, King Abdulaziz University, Jeddah 21589, Saudi ArabiaCenter of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia; Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi ArabiaPhotovoltaic Cells Department, Electronics Research Institute, Cairo, EgyptElectrical Engineering Department, College of Engineering at Wadi Addawaser, Prince Sattam bin Abdulaziz University, Wadi Addawaser 11991, Saudi Arabia; Electrical Engineering Department, Aswan Faculty of Engineering, Aswan University, Aswan 81542, Egypt; Corresponding author at: Electrical Engineering Department, Aswan Faculty of Engineering, Aswan University, Aswan 81542, Egypt.Electrical Engineering Department, Valley High Institute of Engineering and Technology, Science Valley Academy, Qalyubia, EgyptThis paper presents an integrated generation and transmission expansion planning (G&TEP) model embedding with energy storage systems (ESSs) to reduce G&TEP projects’ cost, enhance power system’s reliability, decrease carbon emission, and increase the penetration of renewable energy systems. ESSs are a key component of modern power grids for their ability to solve many challenges and problems. Electrical system operators and planners often resort to ESSs, which are considered promising technology and are sometimes the only economically viable way to address deficiencies in the planning phase, specifically in the presence of renewable energy sources. However, choosing the right ESS type to solve a problem is still a challenge and essential to cost-effectively integrating ESSs into power systems. In this work, a techno-economic planning model is formulated to decide on a suitable ESS type for the optimal configuration of two power systems, taking into account the technical and economic aspects of ESSs. Three long-term and seven medium-term types of ESSs were tested for this purpose. A hybrid scheme of Runge Kutta optimizer and gradient-based optimizer is applied to solve the problem. The proposed planning model is implemented on the known Garver system and a real system in Egypt (Egyptian west delta network). The numerical results found that pumped hydroelectric storage is the most effective type in achieving N-1 reliability constraints, increasing the use of RESs, and reducing the planning cost. ESSs enhanced systems’ security and reduced the total planning cost by 0.86%–2.35% for the Garver network. The results showed that using ESSs is necessary for some power systems, like the west delta network, to avoid rolling blackouts. The investment and operating costs of ESSs, in the presence of RESs, reach more than 50 % of the total planning cost in some case studies. However, ESSs, in the absence of RESs and reliability constraints, increase the planning cost by 5%–50%. Finally, the hybrid scheme proved its superiority in solving the proposed problem.http://www.sciencedirect.com/science/article/pii/S2352484722008307Integrated generation and transmission expansion planningEnergy storage systemsRenewable energy sourcesReliability constraintsHybrid scheme of Runge Kutta optimizer and gradient-based optimizer |
| spellingShingle | Muhyaddin Rawa Zenah M. AlKubaisy Sultan Alghamdi Mohamed M. Refaat Ziad M. Ali Shady H.E. Abdel Aleem A techno-economic planning model for integrated generation and transmission expansion in modern power systems with renewables and energy storage using hybrid Runge Kutta-gradient-based optimization algorithm Energy Reports Integrated generation and transmission expansion planning Energy storage systems Renewable energy sources Reliability constraints Hybrid scheme of Runge Kutta optimizer and gradient-based optimizer |
| title | A techno-economic planning model for integrated generation and transmission expansion in modern power systems with renewables and energy storage using hybrid Runge Kutta-gradient-based optimization algorithm |
| title_full | A techno-economic planning model for integrated generation and transmission expansion in modern power systems with renewables and energy storage using hybrid Runge Kutta-gradient-based optimization algorithm |
| title_fullStr | A techno-economic planning model for integrated generation and transmission expansion in modern power systems with renewables and energy storage using hybrid Runge Kutta-gradient-based optimization algorithm |
| title_full_unstemmed | A techno-economic planning model for integrated generation and transmission expansion in modern power systems with renewables and energy storage using hybrid Runge Kutta-gradient-based optimization algorithm |
| title_short | A techno-economic planning model for integrated generation and transmission expansion in modern power systems with renewables and energy storage using hybrid Runge Kutta-gradient-based optimization algorithm |
| title_sort | techno economic planning model for integrated generation and transmission expansion in modern power systems with renewables and energy storage using hybrid runge kutta gradient based optimization algorithm |
| topic | Integrated generation and transmission expansion planning Energy storage systems Renewable energy sources Reliability constraints Hybrid scheme of Runge Kutta optimizer and gradient-based optimizer |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722008307 |
| work_keys_str_mv | AT muhyaddinrawa atechnoeconomicplanningmodelforintegratedgenerationandtransmissionexpansioninmodernpowersystemswithrenewablesandenergystorageusinghybridrungekuttagradientbasedoptimizationalgorithm AT zenahmalkubaisy atechnoeconomicplanningmodelforintegratedgenerationandtransmissionexpansioninmodernpowersystemswithrenewablesandenergystorageusinghybridrungekuttagradientbasedoptimizationalgorithm AT sultanalghamdi atechnoeconomicplanningmodelforintegratedgenerationandtransmissionexpansioninmodernpowersystemswithrenewablesandenergystorageusinghybridrungekuttagradientbasedoptimizationalgorithm AT mohamedmrefaat atechnoeconomicplanningmodelforintegratedgenerationandtransmissionexpansioninmodernpowersystemswithrenewablesandenergystorageusinghybridrungekuttagradientbasedoptimizationalgorithm AT ziadmali atechnoeconomicplanningmodelforintegratedgenerationandtransmissionexpansioninmodernpowersystemswithrenewablesandenergystorageusinghybridrungekuttagradientbasedoptimizationalgorithm AT shadyheabdelaleem atechnoeconomicplanningmodelforintegratedgenerationandtransmissionexpansioninmodernpowersystemswithrenewablesandenergystorageusinghybridrungekuttagradientbasedoptimizationalgorithm AT muhyaddinrawa technoeconomicplanningmodelforintegratedgenerationandtransmissionexpansioninmodernpowersystemswithrenewablesandenergystorageusinghybridrungekuttagradientbasedoptimizationalgorithm AT zenahmalkubaisy technoeconomicplanningmodelforintegratedgenerationandtransmissionexpansioninmodernpowersystemswithrenewablesandenergystorageusinghybridrungekuttagradientbasedoptimizationalgorithm AT sultanalghamdi technoeconomicplanningmodelforintegratedgenerationandtransmissionexpansioninmodernpowersystemswithrenewablesandenergystorageusinghybridrungekuttagradientbasedoptimizationalgorithm AT mohamedmrefaat technoeconomicplanningmodelforintegratedgenerationandtransmissionexpansioninmodernpowersystemswithrenewablesandenergystorageusinghybridrungekuttagradientbasedoptimizationalgorithm AT ziadmali technoeconomicplanningmodelforintegratedgenerationandtransmissionexpansioninmodernpowersystemswithrenewablesandenergystorageusinghybridrungekuttagradientbasedoptimizationalgorithm AT shadyheabdelaleem technoeconomicplanningmodelforintegratedgenerationandtransmissionexpansioninmodernpowersystemswithrenewablesandenergystorageusinghybridrungekuttagradientbasedoptimizationalgorithm |