Nash Bargaining-Based Coordinated Frequency-Constrained Dispatch for Distribution Networks and Microgrids
As the penetration of distributed renewable energy continues to increase in distribution networks, the traditional scheduling model that the inertia and primary frequency support of distribution networks are completely dependent on the transmission grid will place enormous regulatory pressure on the...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/17/22/5661 |
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| _version_ | 1850217439215747072 |
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| author | Ziming Zhou Zihao Wang Yanan Zhang Xiaoxue Wang |
| author_facet | Ziming Zhou Zihao Wang Yanan Zhang Xiaoxue Wang |
| author_sort | Ziming Zhou |
| collection | DOAJ |
| description | As the penetration of distributed renewable energy continues to increase in distribution networks, the traditional scheduling model that the inertia and primary frequency support of distribution networks are completely dependent on the transmission grid will place enormous regulatory pressure on the transmission grid and hinder the active regulation capabilities of distribution networks. To address this issue, this paper proposes a coordinated optimization method for distribution networks and microgrid clusters considering frequency constraints. First, the confidence interval of disturbances was determined based on historical forecast deviation data. On this basis, a second-order cone programming model for distribution networks with embedded frequency security constraints was established. Then, microgrids performed economic dispatch considering the reserves requirement to provide inertia and primary frequency support, and a stochastic optimization model with conditional value-at-risk was built to address uncertainties. Finally, a cooperative game between the distribution network and microgrid clusters was established, determining the reserve capacity provided by each microgrid and the corresponding prices through Nash bargaining. The model was further transformed into two sub-problems, which were solved in a distributed manner using the ADMM algorithm. The effectiveness of the proposed method in enhancing the operational security and economic efficiency of the distribution networks is validated through simulation analysis. |
| format | Article |
| id | doaj-art-ee3f13062eec48509d088338f9cd441c |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-ee3f13062eec48509d088338f9cd441c2025-08-20T02:08:03ZengMDPI AGEnergies1996-10732024-11-011722566110.3390/en17225661Nash Bargaining-Based Coordinated Frequency-Constrained Dispatch for Distribution Networks and MicrogridsZiming Zhou0Zihao Wang1Yanan Zhang2Xiaoxue Wang3State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, ChinaState Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, ChinaState Grid Tianjin Power Dongli Power Supply Branch, Tianjin 300300, ChinaState Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, ChinaAs the penetration of distributed renewable energy continues to increase in distribution networks, the traditional scheduling model that the inertia and primary frequency support of distribution networks are completely dependent on the transmission grid will place enormous regulatory pressure on the transmission grid and hinder the active regulation capabilities of distribution networks. To address this issue, this paper proposes a coordinated optimization method for distribution networks and microgrid clusters considering frequency constraints. First, the confidence interval of disturbances was determined based on historical forecast deviation data. On this basis, a second-order cone programming model for distribution networks with embedded frequency security constraints was established. Then, microgrids performed economic dispatch considering the reserves requirement to provide inertia and primary frequency support, and a stochastic optimization model with conditional value-at-risk was built to address uncertainties. Finally, a cooperative game between the distribution network and microgrid clusters was established, determining the reserve capacity provided by each microgrid and the corresponding prices through Nash bargaining. The model was further transformed into two sub-problems, which were solved in a distributed manner using the ADMM algorithm. The effectiveness of the proposed method in enhancing the operational security and economic efficiency of the distribution networks is validated through simulation analysis.https://www.mdpi.com/1996-1073/17/22/5661power system inertiadroop factorprimary frequency supportNash bargaining |
| spellingShingle | Ziming Zhou Zihao Wang Yanan Zhang Xiaoxue Wang Nash Bargaining-Based Coordinated Frequency-Constrained Dispatch for Distribution Networks and Microgrids Energies power system inertia droop factor primary frequency support Nash bargaining |
| title | Nash Bargaining-Based Coordinated Frequency-Constrained Dispatch for Distribution Networks and Microgrids |
| title_full | Nash Bargaining-Based Coordinated Frequency-Constrained Dispatch for Distribution Networks and Microgrids |
| title_fullStr | Nash Bargaining-Based Coordinated Frequency-Constrained Dispatch for Distribution Networks and Microgrids |
| title_full_unstemmed | Nash Bargaining-Based Coordinated Frequency-Constrained Dispatch for Distribution Networks and Microgrids |
| title_short | Nash Bargaining-Based Coordinated Frequency-Constrained Dispatch for Distribution Networks and Microgrids |
| title_sort | nash bargaining based coordinated frequency constrained dispatch for distribution networks and microgrids |
| topic | power system inertia droop factor primary frequency support Nash bargaining |
| url | https://www.mdpi.com/1996-1073/17/22/5661 |
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