低频减载虚拟实验平台设计与实现
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摘要
本文设计并开发了一款低频减载可视化虚拟实验平台,包括基于Python开发的在单机和多机系统下实现低频减载动态分析的程序内核,以及基于Py Qt所设计的实验平台人机交互界面;提出了基于上述平台并适应于"电力系统自动化"课程要求的低频减载实验方案。实验平台仿真结果的正确性和精度得到了校验。
A virtual experimental platform for under frequency load shedding(UFLS) is designed and developed in this paper,consisting of the kernel codes based on Python that realize the dynamic analyses of UFLS in single-machine and multi-machine system,and the interactive interface of the platform based on PyQt.A UFLS virtual experimental scheme is proposed,which is based on the platform and adapting to the course of Automation of Electric Power Systems.Correctness and accuracy of the simulation results are verified.
A virtual experimental platform for under frequency load shedding(UFLS) is designed and developed in this paper,consisting of the kernel codes based on Python that realize the dynamic analyses of UFLS in single-machine and multi-machine system,and the interactive interface of the platform based on PyQt.A UFLS virtual experimental scheme is proposed,which is based on the platform and adapting to the course of Automation of Electric Power Systems.Correctness and accuracy of the simulation results are verified.
引文
[1]李鹏博.山东电网低频减载方案计算软件开发及应用[D].北京:华北电力大学,2003.
[2]Hassan R,Abdallah M,Radman G,et al.Under-Frequency Load Shedding:Towards a smarter smart house with a consumer level controller[C].2011 Proceedings of IEEE Southeastcon,2011.
[3]杨博,解大,陈陈,等.电力系统低频减载的现状和应用[J].上海:华东电力,2002,(09):14-18.
[4]Delfino B,Massucco S,Morini A et al.Implementation and comparison of different under frequency load-shedding schemes[C].Power Engineering Society Summer Meeting,IEEE,2001,1:307-312.
[5]Anderson P M,Mirheydar M.A low-order system frequency response model[J].IEEE Trans.on Power Systems,1990,5(3):720-729.
[6]Terzija V V.Adaptive underfrequency load shedding based on the magnitude of the disturbance estimation[J].IEEE Trans.on Power Systems,2006,21(3):1260-1266.
[7]Mitchell M A,Pecas Lopes J A,Fidalgo J N,et al.Using a Neural Network to Predict the Dynamic Frequency Response of a Power System to an Under-frequency Load Shedding Scenario[C].In::Power Engineering Society Summer Meeting.2000.
[8]J.A.Peqas Lopes,Wong Chan Wa,L.M.Proenqa,Genetic Algorithms in the Definition of Optimal Load Shedding Strategies[J].154-149.
[9]王君.电力系统低频减载算法的研究[D].成都:西南交通大学,2009.
[10]李常刚.电力系统暂态频率稳定评估与控制研究[D].济南:山东大学,2012.
[11]Chan M L,Dunlop R D,Schweppe F.Dynamic Equivalents for Average System Frequency Behavior Following Major Distribances[J].IEEE Transactions on Power Apparatus and Systems,1972,PAS-91(4):1637-1642.
[12]倪以信.动态电力系统的理论和分析[M].北京:清华大学出版社,2002.
[13]张同军.高渗透风机并网对电力系统暂态频率响应影响的研究[Z].济南:山东大学,2015.
[2]Hassan R,Abdallah M,Radman G,et al.Under-Frequency Load Shedding:Towards a smarter smart house with a consumer level controller[C].2011 Proceedings of IEEE Southeastcon,2011.
[3]杨博,解大,陈陈,等.电力系统低频减载的现状和应用[J].上海:华东电力,2002,(09):14-18.
[4]Delfino B,Massucco S,Morini A et al.Implementation and comparison of different under frequency load-shedding schemes[C].Power Engineering Society Summer Meeting,IEEE,2001,1:307-312.
[5]Anderson P M,Mirheydar M.A low-order system frequency response model[J].IEEE Trans.on Power Systems,1990,5(3):720-729.
[6]Terzija V V.Adaptive underfrequency load shedding based on the magnitude of the disturbance estimation[J].IEEE Trans.on Power Systems,2006,21(3):1260-1266.
[7]Mitchell M A,Pecas Lopes J A,Fidalgo J N,et al.Using a Neural Network to Predict the Dynamic Frequency Response of a Power System to an Under-frequency Load Shedding Scenario[C].In::Power Engineering Society Summer Meeting.2000.
[8]J.A.Peqas Lopes,Wong Chan Wa,L.M.Proenqa,Genetic Algorithms in the Definition of Optimal Load Shedding Strategies[J].154-149.
[9]王君.电力系统低频减载算法的研究[D].成都:西南交通大学,2009.
[10]李常刚.电力系统暂态频率稳定评估与控制研究[D].济南:山东大学,2012.
[11]Chan M L,Dunlop R D,Schweppe F.Dynamic Equivalents for Average System Frequency Behavior Following Major Distribances[J].IEEE Transactions on Power Apparatus and Systems,1972,PAS-91(4):1637-1642.
[12]倪以信.动态电力系统的理论和分析[M].北京:清华大学出版社,2002.
[13]张同军.高渗透风机并网对电力系统暂态频率响应影响的研究[Z].济南:山东大学,2015.