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作 者:Baran Sadeghi Nima Shafaghatian Reza Alayi Mamdouh El Haj Assad Farhad Zishan Hasan Hosseinzadeh
机构地区:[1]Electrical Engineering Department,Ghazvin Branch,Islamic Azad University,Ghazvin,Iran [2]Electrical Engineering Department,Zanjan University,Zanjan,Iran [3]Department of Mechanics,Germi Branch,Islamic Azad University,Germi,Iran [4]Sustainable and Renewable Energy Engineering Department,University of Sharjah,P O Box 27272,Sharjah,UAE [5]Department of Electrical Engineering,Sahand University of Technology,Tabriz,Iran [6]Department of Mathematics,Ardabil Branch,Islamic Azad University,Ardabil,Iran
出 处:《Clean Energy》2022年第1期105-118,共14页清洁能源(英文)
摘 要:A distributed generation network could be a hybrid power system that includes wind-diesel power generation based on induction generators(IGs)and synchronous generators(SGs).The main advantage of these systems is the possibility of using renewable energy in their structures.The most important challenge is to design the voltage-control loop with the frequency-control loop to obtain optimal responses for voltage and frequency deviations.In this work,the voltage-control loop is designed by an automatic voltage regulator.A linear model of the hybrid system has also been developed with coordinated voltage and frequency control.Dynamic frequency response and voltage deviations are compared for different load disturbances and different reactive loads.The gains of the SG and the static volt-ampere reactive compensator(SVC)controllers in the IG terminal are calculated using the Black Widow Optimization(BWO)algorithm to insure low frequency and voltage deviations.The BWO optimization algorithm is one of the newest and most powerful optimization methods to have been introduced so far.The results showed that the BWO algorithm has a good speed in solving the proposed objective function.A 22%improvement in time adjustment was observed in the use of an optimal SVC.Also,an 18%improvement was observed in the transitory values.
关 键 词:MICROGRID voltage and frequency control Black Widow Optimization algorithm dynamic response smart grid
分 类 号:TM73[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程]
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