Xinshou Tian, Yongning Chi, Peng Cheng, Yihui Zhao, Hongzhi Liu
{"title":"基于状态重构的风光储混合发电站最优频率响应协调控制策略","authors":"Xinshou Tian, Yongning Chi, Peng Cheng, Yihui Zhao, Hongzhi Liu","doi":"10.1049/rpg2.13049","DOIUrl":null,"url":null,"abstract":"<p>When wind power and energy storage operate in tandem, their operational state undergoes continuous shifts during dynamic processes. Determining the frequency modulation capability of the combined wind and energy storage system during frequency modulation participation is challenging, often leading to a decline in power generation efficiency. To address this, the current study introduces an optimal frequency response coordinated control strategy for hybrid wind-storage power plants, anchored in state reconstruction. The frequency modulation capability is restructured based on the current state of charge (SOC) of the energy storage system. Subsequently, the equivalent active power reserve demand is evaluated for wind power, leading to the formulation of a wind power reserve active power level and its corresponding operational strategy. For swift active power support, an adaptive virtual inertia control is designed for the energy storage system, contingent on its current SOC. Concurrently, an adaptive virtual inertia control for wind power is developed, grounded in effective kinetic energy. The hybrid wind-storage power plant engages in primary frequency regulation, tailored to the nature of frequency disturbances and prevailing state characteristics. Simulation analyses affirm that this proposed strategy, which takes into account the SOC of the hybrid wind-storage power plant and the power grid's dynamics, offers robust active power frequency support during load disturbances.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 15","pages":"2892-2906"},"PeriodicalIF":2.6000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13049","citationCount":"0","resultStr":"{\"title\":\"Optimal frequency response coordinated control strategy for hybrid wind-storage power plant based on state reconstruction\",\"authors\":\"Xinshou Tian, Yongning Chi, Peng Cheng, Yihui Zhao, Hongzhi Liu\",\"doi\":\"10.1049/rpg2.13049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>When wind power and energy storage operate in tandem, their operational state undergoes continuous shifts during dynamic processes. Determining the frequency modulation capability of the combined wind and energy storage system during frequency modulation participation is challenging, often leading to a decline in power generation efficiency. To address this, the current study introduces an optimal frequency response coordinated control strategy for hybrid wind-storage power plants, anchored in state reconstruction. The frequency modulation capability is restructured based on the current state of charge (SOC) of the energy storage system. Subsequently, the equivalent active power reserve demand is evaluated for wind power, leading to the formulation of a wind power reserve active power level and its corresponding operational strategy. For swift active power support, an adaptive virtual inertia control is designed for the energy storage system, contingent on its current SOC. Concurrently, an adaptive virtual inertia control for wind power is developed, grounded in effective kinetic energy. The hybrid wind-storage power plant engages in primary frequency regulation, tailored to the nature of frequency disturbances and prevailing state characteristics. 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Optimal frequency response coordinated control strategy for hybrid wind-storage power plant based on state reconstruction
When wind power and energy storage operate in tandem, their operational state undergoes continuous shifts during dynamic processes. Determining the frequency modulation capability of the combined wind and energy storage system during frequency modulation participation is challenging, often leading to a decline in power generation efficiency. To address this, the current study introduces an optimal frequency response coordinated control strategy for hybrid wind-storage power plants, anchored in state reconstruction. The frequency modulation capability is restructured based on the current state of charge (SOC) of the energy storage system. Subsequently, the equivalent active power reserve demand is evaluated for wind power, leading to the formulation of a wind power reserve active power level and its corresponding operational strategy. For swift active power support, an adaptive virtual inertia control is designed for the energy storage system, contingent on its current SOC. Concurrently, an adaptive virtual inertia control for wind power is developed, grounded in effective kinetic energy. The hybrid wind-storage power plant engages in primary frequency regulation, tailored to the nature of frequency disturbances and prevailing state characteristics. Simulation analyses affirm that this proposed strategy, which takes into account the SOC of the hybrid wind-storage power plant and the power grid's dynamics, offers robust active power frequency support during load disturbances.
期刊介绍:
IET Renewable Power Generation (RPG) brings together the topics of renewable energy technology, power generation and systems integration, with techno-economic issues. All renewable energy generation technologies are within the scope of the journal.
Specific technology areas covered by the journal include:
Wind power technology and systems
Photovoltaics
Solar thermal power generation
Geothermal energy
Fuel cells
Wave power
Marine current energy
Biomass conversion and power generation
What differentiates RPG from technology specific journals is a concern with power generation and how the characteristics of the different renewable sources affect electrical power conversion, including power electronic design, integration in to power systems, and techno-economic issues. Other technologies that have a direct role in sustainable power generation such as fuel cells and energy storage are also covered, as are system control approaches such as demand side management, which facilitate the integration of renewable sources into power systems, both large and small.
The journal provides a forum for the presentation of new research, development and applications of renewable power generation. Demonstrations and experimentally based research are particularly valued, and modelling studies should as far as possible be validated so as to give confidence that the models are representative of real-world behavior. Research that explores issues where the characteristics of the renewable energy source and their control impact on the power conversion is welcome. Papers covering the wider areas of power system control and operation, including scheduling and protection that are central to the challenge of renewable power integration are particularly encouraged.
The journal is technology focused covering design, demonstration, modelling and analysis, but papers covering techno-economic issues are also of interest. Papers presenting new modelling and theory are welcome but this must be relevant to real power systems and power generation. Most papers are expected to include significant novelty of approach or application that has general applicability, and where appropriate include experimental results. Critical reviews of relevant topics are also invited and these would be expected to be comprehensive and fully referenced.
Current Special Issue. Call for papers:
Power Quality and Protection in Renewable Energy Systems and Microgrids - https://digital-library.theiet.org/files/IET_RPG_CFP_PQPRESM.pdf
Energy and Rail/Road Transportation Integrated Development - https://digital-library.theiet.org/files/IET_RPG_CFP_ERTID.pdf