Nodal frequency-constrained energy storage planning via hybrid data-model driven methods
Cross-regional high voltage direct current (HVDC) systems bring remarkable renewable power injections to the receiver side of power grids. However, HVDC failures result in large disturbances to receivers and cause critical frequency security problems. High renewable energy penetration also reduces t...
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2025-03-01
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| Series: | iEnergy |
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| Online Access: | https://www.sciopen.com/article/10.23919/IEN.2025.0005 |
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| author | Jiaxin Wang Jiawei Zhang Min Yang Yating Wang Ning Zhang |
| author_facet | Jiaxin Wang Jiawei Zhang Min Yang Yating Wang Ning Zhang |
| author_sort | Jiaxin Wang |
| collection | DOAJ |
| description | Cross-regional high voltage direct current (HVDC) systems bring remarkable renewable power injections to the receiver side of power grids. However, HVDC failures result in large disturbances to receivers and cause critical frequency security problems. High renewable energy penetration also reduces the system inertia and damping coefficients. Thus, some nodal frequency nadirs may be much lower than those calculated by the center-of-inertia (COI) and may trigger low-frequency protection. Energy storage is a promising solution for frequency-related problems. In this study, we build an energy storage planning model considering both COI and nodal frequency security constraints. The energy storage capacities and locations are determined in the planning scheme based on year-round operations. First, we carry out a year-round COI-frequency-constrained unit commitment to obtain comprehensive operation modes. Next, we propose a hybrid data-model driven approach to generate nodal frequency security constraints for extensive operation modes effectively. Finally, we achieve optimal energy storage planning with both COI and nodal frequency constraints. Case studies on a modified RTS-79 test system and a 1089-bus power system in practical in Jiangsu, China, verify the effectiveness of the proposed methods. |
| format | Article |
| id | doaj-art-eed03439d4f74a8b950423c1cdbd2f97 |
| institution | DOAJ |
| issn | 2771-9197 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | iEnergy |
| spelling | doaj-art-eed03439d4f74a8b950423c1cdbd2f972025-08-20T03:12:14ZengTsinghua University PressiEnergy2771-91972025-03-0141435310.23919/IEN.2025.0005Nodal frequency-constrained energy storage planning via hybrid data-model driven methodsJiaxin Wang0Jiawei Zhang1Min Yang2Yating Wang3Ning Zhang4Department of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaChina Electric Power Planning and Engineering Institute, Beijing 100120, ChinaDepartment of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaChina Electric Power Planning and Engineering Institute, Beijing 100120, ChinaDepartment of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaCross-regional high voltage direct current (HVDC) systems bring remarkable renewable power injections to the receiver side of power grids. However, HVDC failures result in large disturbances to receivers and cause critical frequency security problems. High renewable energy penetration also reduces the system inertia and damping coefficients. Thus, some nodal frequency nadirs may be much lower than those calculated by the center-of-inertia (COI) and may trigger low-frequency protection. Energy storage is a promising solution for frequency-related problems. In this study, we build an energy storage planning model considering both COI and nodal frequency security constraints. The energy storage capacities and locations are determined in the planning scheme based on year-round operations. First, we carry out a year-round COI-frequency-constrained unit commitment to obtain comprehensive operation modes. Next, we propose a hybrid data-model driven approach to generate nodal frequency security constraints for extensive operation modes effectively. Finally, we achieve optimal energy storage planning with both COI and nodal frequency constraints. Case studies on a modified RTS-79 test system and a 1089-bus power system in practical in Jiangsu, China, verify the effectiveness of the proposed methods.https://www.sciopen.com/article/10.23919/IEN.2025.0005frequency nadirenergy storageinverter-based resourcessecurity-constrained planning |
| spellingShingle | Jiaxin Wang Jiawei Zhang Min Yang Yating Wang Ning Zhang Nodal frequency-constrained energy storage planning via hybrid data-model driven methods iEnergy frequency nadir energy storage inverter-based resources security-constrained planning |
| title | Nodal frequency-constrained energy storage planning via hybrid data-model driven methods |
| title_full | Nodal frequency-constrained energy storage planning via hybrid data-model driven methods |
| title_fullStr | Nodal frequency-constrained energy storage planning via hybrid data-model driven methods |
| title_full_unstemmed | Nodal frequency-constrained energy storage planning via hybrid data-model driven methods |
| title_short | Nodal frequency-constrained energy storage planning via hybrid data-model driven methods |
| title_sort | nodal frequency constrained energy storage planning via hybrid data model driven methods |
| topic | frequency nadir energy storage inverter-based resources security-constrained planning |
| url | https://www.sciopen.com/article/10.23919/IEN.2025.0005 |
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