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作 者:Zhengyang Hu Bingtuan Gao Zhao Xu Sufan Jiang
机构地区:[1]School of Electrical Engineering,Southeast University,Nanjing,210096China [2]Department of Electrical and Electronic Engineering,The Hong Kong Polytechnic University,Hong Kong SAR,China [3]Department of Electrical Engineering and Computer Science,The University of Tennessee,Knoxville,TN 37996 USA
出 处:《CSEE Journal of Power and Energy Systems》2025年第1期51-64,共14页中国电机工程学会电力与能源系统学报(英文)
基 金:supported by the National Key R&D Program of China under Grant 2021YFB2400500。
摘 要:Wind power plants(WPPs)are increasingly mandated to provide temporary frequency support to power systems during contingencies involving significant power shortages.However,the frequency support capabilities of WPPs under derated operations remain insufficiently investigated,highlighting the potential for further improvement of the frequency nadir.This paper proposes a bi-level optimized temporary frequency support(OTFS)strategy for a WPP.The implementation of the OTFS strategy is collaboratively accomplished by individual wind turbine(WT)controllers and the central WPP controller.First,to exploit the frequency support capability of WTs,the stable operational region of WTs is expanded by developing a novel dynamic power control approach in WT controllers.This approach synergizes the WTs'temporary frequency support with the secondary frequency control of synchronous generators,enabling WTs to release more kinetic energy without causing a secondary frequency drop.Second,a model predictive control strategy is developed for the WPP controller.This strategy ensures that multiple WTs operating within the expanded stable region are coordinated to minimize the magnitude of the frequency drop through efficient kinetic energy utilization.Finally,comprehensive case studies are conducted on a real-time simulation platform to validate the effectiveness of the proposed strategy.
关 键 词:Active power control model predictive control optimized temporary frequency support wind power plant wind turbine
分 类 号:TM61[电气工程—电力系统及自动化] TM732
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