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作 者:Feng Hong Yalei Pang Weiming Ji Lu Liang Fang Fang Junhong Hao Jizhen Liu
机构地区:[1]State Key Laboratory of Alternate Electric Power System with Renewable Energy Sources and School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China [2]State Key Laboratory of Alternate Electric Power System with Renewable Energy Sources,School of Energy Power and Mechanical Engineering,North China Electric Power University,Beijing 102206,China
出 处:《CSEE Journal of Power and Energy Systems》2024年第4期1371-1383,共13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 Science and Technology Project of State Grid Corporation of China(52060021N00P)。
摘 要:Frequency stability and security have been a vital challenge as large-scale renewable energy is integrated into power systems.In contrast,the proportion of traditional thermal power units decreases during the decarbonization transformation process,resulting in poor frequency support.This paper aims to explore the potential of frequency regulation support,dynamic assessment,and capacity promotion of thermal power plants in the transition period.Considering the dynamic characteristics of the main steam working fluid under different working conditions,a nonlinear observer is constructed by extracting the main steam pressure and valve opening degree parameters.The real-time frequency modulation capacity of thermal power units can provide a dynamic state for the power grid.A dynamic adaptive modification for primary frequency control(PFC)of power systems,including wind power and thermal power,is proposed and improved.The power dynamic allocation factor is adaptively optimized by predicting the speed droop ratio,and the frequency modulation capability of the system is improved by more than 11%under extreme conditions.Finally,through the Monte Carlo simulation of unit states of the system under various working conditions,the promotion of the frequency regulation capacity with high wind power penetration(WPP)is verified.
关 键 词:Dynamic evaluation frequency regulation power system predictive modeling wind penetration
分 类 号:TM614[电气工程—电力系统及自动化] TM712
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