Frequency regulation optimization for wind storage based on frequency regulation reliability and state of charge in isolated island off‐grid
Abstract To further improve the frequency regulation stability of wind farm, and optimize the state of charge (SOC) basepoint, charge and discharge rate and recovery capacity of energy storage. In an isolated, off‐grid state, a two‐layer optimization method is proposed, taking into account the frequ...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
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| Series: | Energy Science & Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ese3.1322 |
| _version_ | 1797950981778964480 |
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| author | Changqing Chen Yali Wang Kui Zhou Zhiliang Huang |
| author_facet | Changqing Chen Yali Wang Kui Zhou Zhiliang Huang |
| author_sort | Changqing Chen |
| collection | DOAJ |
| description | Abstract To further improve the frequency regulation stability of wind farm, and optimize the state of charge (SOC) basepoint, charge and discharge rate and recovery capacity of energy storage. In an isolated, off‐grid state, a two‐layer optimization method is proposed, taking into account the frequency regulation reliability and SOC adaptive adjustment of the wind storage. In the upper layer, the model predictive control theory is adopted to optimize the energy‐storage frequency regulation output power with the goal of minimizing the wind storage frequency regulation power deviation. While solving the problem of low‐frequency regulation reliability of wind farm, the SOC recovery basepoint and frequency regulation power of energy storage are optimized. At the SOC optimization layer, based on the upper SOC recovery basis point, we propose a dynamic recovery method for energy‐storage SOC that considers both the SOC recovery demand and grid‐bearing capacity, to determine the energy‐storage recovery power. By determining the frequency regulation or recovery power, we propose a calculation method to optimize the energy‐storage charge and discharge coefficients as per the SOC for avoiding excessive charging and discharging. The simulation results show that, under continuous disturbance, the root‐mean‐square deviations of the proposed method is 80.13% and 62.63% lower than those of the fixed K and SOC methods, respectively. Furthermore, the proposed method exhibits the best SOC maintenance effect. |
| first_indexed | 2024-04-10T22:23:41Z |
| format | Article |
| id | doaj.art-fdff8b66d77841b7a9e1d057a190177e |
| institution | Directory Open Access Journal |
| issn | 2050-0505 |
| language | English |
| last_indexed | 2024-04-10T22:23:41Z |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Energy Science & Engineering |
| spelling | doaj.art-fdff8b66d77841b7a9e1d057a190177e2023-01-17T14:02:38ZengWileyEnergy Science & Engineering2050-05052023-01-0111119220510.1002/ese3.1322Frequency regulation optimization for wind storage based on frequency regulation reliability and state of charge in isolated island off‐gridChangqing Chen0Yali Wang1Kui Zhou2Zhiliang Huang3College of Electrical and Information Engineering Hunan City University Yiyang ChinaSchool of Economics and Management Changsha University of Science and Technology Changsha ChinaHunan Bridge Technology Co., LTD. Changsha ChinaCollege of Electrical and Information Engineering Hunan City University Yiyang ChinaAbstract To further improve the frequency regulation stability of wind farm, and optimize the state of charge (SOC) basepoint, charge and discharge rate and recovery capacity of energy storage. In an isolated, off‐grid state, a two‐layer optimization method is proposed, taking into account the frequency regulation reliability and SOC adaptive adjustment of the wind storage. In the upper layer, the model predictive control theory is adopted to optimize the energy‐storage frequency regulation output power with the goal of minimizing the wind storage frequency regulation power deviation. While solving the problem of low‐frequency regulation reliability of wind farm, the SOC recovery basepoint and frequency regulation power of energy storage are optimized. At the SOC optimization layer, based on the upper SOC recovery basis point, we propose a dynamic recovery method for energy‐storage SOC that considers both the SOC recovery demand and grid‐bearing capacity, to determine the energy‐storage recovery power. By determining the frequency regulation or recovery power, we propose a calculation method to optimize the energy‐storage charge and discharge coefficients as per the SOC for avoiding excessive charging and discharging. The simulation results show that, under continuous disturbance, the root‐mean‐square deviations of the proposed method is 80.13% and 62.63% lower than those of the fixed K and SOC methods, respectively. Furthermore, the proposed method exhibits the best SOC maintenance effect.https://doi.org/10.1002/ese3.1322energy storagefrequency regulationmodel predictive controlrecovery of SOCwind farm |
| spellingShingle | Changqing Chen Yali Wang Kui Zhou Zhiliang Huang Frequency regulation optimization for wind storage based on frequency regulation reliability and state of charge in isolated island off‐grid Energy Science & Engineering energy storage frequency regulation model predictive control recovery of SOC wind farm |
| title | Frequency regulation optimization for wind storage based on frequency regulation reliability and state of charge in isolated island off‐grid |
| title_full | Frequency regulation optimization for wind storage based on frequency regulation reliability and state of charge in isolated island off‐grid |
| title_fullStr | Frequency regulation optimization for wind storage based on frequency regulation reliability and state of charge in isolated island off‐grid |
| title_full_unstemmed | Frequency regulation optimization for wind storage based on frequency regulation reliability and state of charge in isolated island off‐grid |
| title_short | Frequency regulation optimization for wind storage based on frequency regulation reliability and state of charge in isolated island off‐grid |
| title_sort | frequency regulation optimization for wind storage based on frequency regulation reliability and state of charge in isolated island off grid |
| topic | energy storage frequency regulation model predictive control recovery of SOC wind farm |
| url | https://doi.org/10.1002/ese3.1322 |
| work_keys_str_mv | AT changqingchen frequencyregulationoptimizationforwindstoragebasedonfrequencyregulationreliabilityandstateofchargeinisolatedislandoffgrid AT yaliwang frequencyregulationoptimizationforwindstoragebasedonfrequencyregulationreliabilityandstateofchargeinisolatedislandoffgrid AT kuizhou frequencyregulationoptimizationforwindstoragebasedonfrequencyregulationreliabilityandstateofchargeinisolatedislandoffgrid AT zhilianghuang frequencyregulationoptimizationforwindstoragebasedonfrequencyregulationreliabilityandstateofchargeinisolatedislandoffgrid |