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电力系统短期预报频率控制 被引量:1

Short Term Frequency Forecasting Control for Electric Power Systems
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摘要 随着火电厂的DCS系统和水电厂的计算机实时控制系统的广泛应用 ,如何发挥其优势以提高电力系统的稳定、可靠及高质量的运行 ,越来越引起人们的重视。本文对主调频水电站进行系统频率短期预报 ,并把预报结果直接应用于水电站的计算机频率控制。文中建立了频率调整的辨识模型、频率预报模型和主调频电站的有功出力控制模型 ,并分析了计算机仿真结果。 It is very important to improve the stability,reliability and well running of electric power systems with widely using of the DCS systems in thermal power plant and the computer real time control systems in hydraulic power plant More and more attentions are paid to developing its superiority and advantage A short term frequency forecast of the system is made for the hydropower station and the results have been applied in computer frequency control of the hydropower station The identification model of the frequency regulation,the frequency forecast model and the control model are developed in this paper and the computer simulation results are discussed
出处 《电工技术学报》 EI CSCD 北大核心 2002年第1期96-100,共5页 Transactions of China Electrotechnical Society
关键词 短期预报 频率控制 电力系统 数学模型 计算机仿真 Short term forecast Frequency control Model
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二级参考文献3

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  • 2鞠平,Proc of Power Tech symp,1995年
  • 3鞠平,电力系统负荷建模,1995年

共引文献17

同被引文献14

  • 1郭钰锋,徐志强,于达仁,赵婷.考虑调频死区的二次调频控制回路设计[J].中国电机工程学报,2004,24(10):77-81. 被引量:18
  • 2高宗和,滕贤亮,张小白.互联电网CPS标准下的自动发电控制策略[J].电力系统自动化,2005,29(19):40-44. 被引量:74
  • 3曾宗桢,张小安,肖飞.电液位置系统的非线性校正与描述函数法分析[J].机床与液压,2005,33(10):110-112. 被引量:1
  • 4刘梅招,杨莉,甘德强,汪德星,高伏英,陈琰.存在均匀通信时滞的AGC稳定极限计算[J].电力系统自动化,2006,30(19):7-12. 被引量:7
  • 5戴义平,赵婷,高林.发电机组参与电网一次调频的特性研究[J].中国电力,2006,39(11):37-41. 被引量:50
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  • 7Janardan Nanda, Ashish Mangla, Sanjay Suri. Some new findings on automatic generation control of an interconnected hydrothermal system with conventional controllers[J]. IEEE Transactions on Energy Conversion, 2006, 21(1): 187-194.
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  • 9Mukherjee V, Ghoshal S P. Comparison of intelligent fuzzy based AGC coordinated PID controlled and PSS controlled AVR system[J]. Electric Power and Energy Systems, 2007, 29(3): 679-689.
  • 10Shayeghi H, Jalili A, Shayanfar H A. Multi-stage fuzzy load frequency control using PSO[J]. Energy Conversion and Management, 2008, 49(10): 2570- 2580.

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