S. Rouhani, Roya Ahmadiahangar, Tobias Häring, A. Rosin
{"title":"提高电力系统的动态稳定性","authors":"S. Rouhani, Roya Ahmadiahangar, Tobias Häring, A. Rosin","doi":"10.1109/RTUCON51174.2020.9316618","DOIUrl":null,"url":null,"abstract":"One of the most important problems in the daily function of the power system is generation programming and its control. The primary purpose of Automatic Generation Control (AGC) is balancing the whole generation system against load variations and system losses. In a power system, any unpredictable variations of consumption load will cause fluctuation in frequency and the current power between the lines. Load frequency control is one of the main problems in the power system which synchronizes with automatic generation control. In this paper, a three area power system in a deregulated environment with the participation of the hybrid generation wind turbine with Doubly Fed Induction Generator (DFIG), hydro, and thermal power plants is studied. The load in this power system is considered a random variable form that periodically and randomly has a frequency of 0.25% around the nominal amount. One of the consequences of using Doubly Fed Induction Generator and variable load in the Restructured Power Systems is the frequency of oscillation. To reduce this fluctuation the Automatic Voltage Regulator (AVR) equipped by Power System Stabilizer (PSS), FACTs devises and PID controller has been used. PID controller parameters have been optimized by Imperialist Competitive, genetic and Particle swarm optimization algorithm.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Improving Dynamic Stability of deregulated power system\",\"authors\":\"S. Rouhani, Roya Ahmadiahangar, Tobias Häring, A. Rosin\",\"doi\":\"10.1109/RTUCON51174.2020.9316618\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the most important problems in the daily function of the power system is generation programming and its control. The primary purpose of Automatic Generation Control (AGC) is balancing the whole generation system against load variations and system losses. In a power system, any unpredictable variations of consumption load will cause fluctuation in frequency and the current power between the lines. Load frequency control is one of the main problems in the power system which synchronizes with automatic generation control. In this paper, a three area power system in a deregulated environment with the participation of the hybrid generation wind turbine with Doubly Fed Induction Generator (DFIG), hydro, and thermal power plants is studied. The load in this power system is considered a random variable form that periodically and randomly has a frequency of 0.25% around the nominal amount. One of the consequences of using Doubly Fed Induction Generator and variable load in the Restructured Power Systems is the frequency of oscillation. To reduce this fluctuation the Automatic Voltage Regulator (AVR) equipped by Power System Stabilizer (PSS), FACTs devises and PID controller has been used. PID controller parameters have been optimized by Imperialist Competitive, genetic and Particle swarm optimization algorithm.\",\"PeriodicalId\":332414,\"journal\":{\"name\":\"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTUCON51174.2020.9316618\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTUCON51174.2020.9316618","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improving Dynamic Stability of deregulated power system
One of the most important problems in the daily function of the power system is generation programming and its control. The primary purpose of Automatic Generation Control (AGC) is balancing the whole generation system against load variations and system losses. In a power system, any unpredictable variations of consumption load will cause fluctuation in frequency and the current power between the lines. Load frequency control is one of the main problems in the power system which synchronizes with automatic generation control. In this paper, a three area power system in a deregulated environment with the participation of the hybrid generation wind turbine with Doubly Fed Induction Generator (DFIG), hydro, and thermal power plants is studied. The load in this power system is considered a random variable form that periodically and randomly has a frequency of 0.25% around the nominal amount. One of the consequences of using Doubly Fed Induction Generator and variable load in the Restructured Power Systems is the frequency of oscillation. To reduce this fluctuation the Automatic Voltage Regulator (AVR) equipped by Power System Stabilizer (PSS), FACTs devises and PID controller has been used. PID controller parameters have been optimized by Imperialist Competitive, genetic and Particle swarm optimization algorithm.