Optimal control of frequency modulation for thermal power and energy storage considering dynamic frequency response
To address the frequency stability challenges caused by reduced inertia and insufficient frequency modulation capacity in power systems with a high proportion of renewable energy， this paper proposes an optimal dispatch and control strategy for thermal power and energy storage， with a focus on dynam...
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| Format: | Article |
| Language: | zho |
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zhejiang electric power
2025-03-01
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| Series: | Zhejiang dianli |
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| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=4c3244c8-3073-4135-ab17-17e2cf8ff3dd |
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| _version_ | 1849391578917896192 |
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| author | MA Jie YU Zhenbo HAO Yuanzhao ZHANG Youwen LI Cuiping QUAN Shaoli |
| author_facet | MA Jie YU Zhenbo HAO Yuanzhao ZHANG Youwen LI Cuiping QUAN Shaoli |
| author_sort | MA Jie |
| collection | DOAJ |
| description | To address the frequency stability challenges caused by reduced inertia and insufficient frequency modulation capacity in power systems with a high proportion of renewable energy， this paper proposes an optimal dispatch and control strategy for thermal power and energy storage， with a focus on dynamic frequency response. First， a dynamic frequency response model is developed for a power system integrated with photovoltaic renewable energy， along with a formula to accurately quantify system-wide frequency fluctuation characteristics. Next， a frequency modulation model is established for a power system that incorporates energy storage. The goal is to optimize operational efficiency while considering the system’s operational constraints and dynamic frequency response metrics. Benders decomposition is applied to decompose the problem into a master problem and subproblems， which are solved iteratively to achieve optimal frequency modulation power allocation between thermal power units and energy storage stations. Finally， simulations are conducted using a case study of a regional power grid in Northwest China. Results demonstrates that the proposed strategy reduces frequency modulation costs by 1.39% compared to traditional strategies， validating its effectiveness. |
| format | Article |
| id | doaj-art-623813356d7643c5a98f09eafe1c8eba |
| institution | Kabale University |
| issn | 1007-1881 |
| language | zho |
| publishDate | 2025-03-01 |
| publisher | zhejiang electric power |
| record_format | Article |
| series | Zhejiang dianli |
| spelling | doaj-art-623813356d7643c5a98f09eafe1c8eba2025-08-20T03:41:01Zzhozhejiang electric powerZhejiang dianli1007-18812025-03-01443102110.19585/j.zjdl.2025030021007-1881（2025）03-0010-12Optimal control of frequency modulation for thermal power and energy storage considering dynamic frequency responseMA Jie0YU Zhenbo1HAO Yuanzhao2ZHANG Youwen3LI Cuiping4QUAN Shaoli5State Grid Henan Economic Research Institute， Zhengzhou 450052， ChinaKey Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology， Ministry of Education （Northeast Electric Power University）， Jilin， Jilin 132012， ChinaState Grid Henan Electric Power Company， Zhengzhou 450018， ChinaState Grid Henan Economic Research Institute， Zhengzhou 450052， ChinaKey Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology， Ministry of Education （Northeast Electric Power University）， Jilin， Jilin 132012， ChinaState Grid Henan Economic Research Institute， Zhengzhou 450052， ChinaTo address the frequency stability challenges caused by reduced inertia and insufficient frequency modulation capacity in power systems with a high proportion of renewable energy， this paper proposes an optimal dispatch and control strategy for thermal power and energy storage， with a focus on dynamic frequency response. First， a dynamic frequency response model is developed for a power system integrated with photovoltaic renewable energy， along with a formula to accurately quantify system-wide frequency fluctuation characteristics. Next， a frequency modulation model is established for a power system that incorporates energy storage. The goal is to optimize operational efficiency while considering the system’s operational constraints and dynamic frequency response metrics. Benders decomposition is applied to decompose the problem into a master problem and subproblems， which are solved iteratively to achieve optimal frequency modulation power allocation between thermal power units and energy storage stations. Finally， simulations are conducted using a case study of a regional power grid in Northwest China. Results demonstrates that the proposed strategy reduces frequency modulation costs by 1.39% compared to traditional strategies， validating its effectiveness.https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=4c3244c8-3073-4135-ab17-17e2cf8ff3ddnew energy penetrationfrequency responsefrequency modulationscheduling strategy |
| spellingShingle | MA Jie YU Zhenbo HAO Yuanzhao ZHANG Youwen LI Cuiping QUAN Shaoli Optimal control of frequency modulation for thermal power and energy storage considering dynamic frequency response Zhejiang dianli new energy penetration frequency response frequency modulation scheduling strategy |
| title | Optimal control of frequency modulation for thermal power and energy storage considering dynamic frequency response |
| title_full | Optimal control of frequency modulation for thermal power and energy storage considering dynamic frequency response |
| title_fullStr | Optimal control of frequency modulation for thermal power and energy storage considering dynamic frequency response |
| title_full_unstemmed | Optimal control of frequency modulation for thermal power and energy storage considering dynamic frequency response |
| title_short | Optimal control of frequency modulation for thermal power and energy storage considering dynamic frequency response |
| title_sort | optimal control of frequency modulation for thermal power and energy storage considering dynamic frequency response |
| topic | new energy penetration frequency response frequency modulation scheduling strategy |
| url | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=4c3244c8-3073-4135-ab17-17e2cf8ff3dd |
| work_keys_str_mv | AT majie optimalcontroloffrequencymodulationforthermalpowerandenergystorageconsideringdynamicfrequencyresponse AT yuzhenbo optimalcontroloffrequencymodulationforthermalpowerandenergystorageconsideringdynamicfrequencyresponse AT haoyuanzhao optimalcontroloffrequencymodulationforthermalpowerandenergystorageconsideringdynamicfrequencyresponse AT zhangyouwen optimalcontroloffrequencymodulationforthermalpowerandenergystorageconsideringdynamicfrequencyresponse AT licuiping optimalcontroloffrequencymodulationforthermalpowerandenergystorageconsideringdynamicfrequencyresponse AT quanshaoli optimalcontroloffrequencymodulationforthermalpowerandenergystorageconsideringdynamicfrequencyresponse |