基于OpenDSS的智能配电网仿真与模拟平台及其应用
|
摘要
OpenDSS仿真系统为含分布式电源及储能装置的配电网提供仿真分析和规划研究平台,并为智能配电网提供一个开放共享的研究平台。从建模方法、仿真功能和用户自定义扩展应用3个方面介绍了OpenDSS的特点和优势。在建模方法上,该平台考虑了配电网的不对称特性,并提供了丰富的配电网控制模型;在仿真功能上,提供了快速潮流计算功能,并开发了一系列仿真方法;在用户自定义扩展上,基于COM接口,实现了OpenDSS和其他仿真软件的互动。针对上述功能和特点,以及给出的应用实例,希望能够对推动智能配电网快速仿真与模拟技术在中国的应用与发展起到一定的作用。
OpenDSS simulation system can assist the simulation analysis and planning research for distribution grid that contains distributive power sources and energy-storage devices and provide an open and shared research platform for smart distribution grid. The features and advantages of OpenDSS are introduced from the three aspects including modelling method, simulation function and user-defined application. For the modelling method, the OpenDSS takes the asymmetric features of distribution system into account and divides the elements into four classes with the multi-phase modelling method. For the simulation method, the OpenDSS provides a fast power flow method based on which many other capacities are realized. For the user-defined application, OpenDSS can interact with other simulation software based on the COM interface. Some simulation cases are given to show the functions mentioned above for the purpose of promoting the application and development of distribution fast simulation and modelling(DFSM) in China.
OpenDSS simulation system can assist the simulation analysis and planning research for distribution grid that contains distributive power sources and energy-storage devices and provide an open and shared research platform for smart distribution grid. The features and advantages of OpenDSS are introduced from the three aspects including modelling method, simulation function and user-defined application. For the modelling method, the OpenDSS takes the asymmetric features of distribution system into account and divides the elements into four classes with the multi-phase modelling method. For the simulation method, the OpenDSS provides a fast power flow method based on which many other capacities are realized. For the user-defined application, OpenDSS can interact with other simulation software based on the COM interface. Some simulation cases are given to show the functions mentioned above for the purpose of promoting the application and development of distribution fast simulation and modelling(DFSM) in China.
引文
[1]余贻鑫,栾文鹏.智能电网[J].电网与清洁能源,2009,25(1):7-11.YU Yi-xin,LUAN Wen-peng.Smart grid[J].Power System and Clean Energy,2009,25(1):7-11.
[2]谢开,刘永奇,朱治中,等.面向未来的智能电网[J].中国电力,2008,41(6):19-22.XIE Kai,LIU Yong-qi,ZHU Zhi-zhong,et al.The vision of future smart grid[J].Electric Power,2008,41(6):19-22.
[3]时珊珊,鲁宗相,周双喜,等.中国微电网的特点和发展方向[J].中国电力,2009,42(7):21-25.SHI Shan-shan,LU Zong-xiang,ZHOU Shuang-xi,et al.Features and developments of microgrids in China[J].Electric Power,2009,42(7):21-25.
[4]何大愚.关于未来智能电网的特征[J].中国电力,2012,45(2):9-11.HE Da-yu.Features of future smart grids[J].Electric Power,2012,45(2):9-11.
[5]陈星莺,顾欣欣,余昆,等.城市电网自愈控制体系结构[J].电力系统自动化,2009,33(24):38-42.CHEN Xing-ying,GU Xin-xin,YU Kun,et al.Architecture for self-healing control of urban power grid[J].Automation of Electric Power Systems,2009,33(24):38-42.
[6]徐臣.配电快速仿真及其分布式智能系统关键问题研究[D].天津:天津大学,2009.XU Chen.Study on key problems in DFSM and its distributed intelligence system[D].Tianjin:Tianjin University,2009.
[7]EPRI.Introduction to the OpenDSS[EB/OL].[2012-07-07].http://electricdss.svn.sourceforge.net/.
[8]ARRITT R F,DUGAN R C.The IEEE 8500-node test feeder[C]//2010 IEEE/PES Transmission and Distribution Conference and Exposition,New Orleans,USA,2010.
[9]SCHNEIDE K P,FULLER J C.Voltage control devices on the IEEE 8500 node test feeder[C]//2010 IEEE/PES Transmission&Distribution Conference&Exposition,New Orleans,USA,2010.
[10]梁伟宸,唐爱红.分布式电源的配电网重构和电容器优化投切[J].中国电力,2011,44(8):26-30.LIANG Wei-chen,TANG Ai-hong.Distribution system reconfiguration and optimal capacitor switching considering distributed generators[J].Electric Power,2011,44(8):26-30.
[11]袁沔齐,邹振宇,孙凯祺,等.基于遗传算法和微分进化算法的分布式电源优化配置[J].中国电力,2013,46(1):16-20.YUAN Mian-qi,ZOU Zhen-yu,SUN Kai-qi,et al.Optimal allocation of distributed generation based on genetic algorithms and differential evolution algorithm[J].Electric Power,2013,46(1):16-20.
[12]史济全,黄民翔.改进二进制差分进化算法在配电网络重构优化中的应用[J].机电工程,2008,25(12):64-66.SHI Ji-quan,HUANG Min-xiang.Application of improved binary differential evolution algorithm in distribution network reconfiguration[J].Mechanical&Electrical Engineering Magazine,2008,25(12):64-66.
[13]王守相,王成山.现代配电系统分析[M].北京:高等教育出版社,2007.
[14]王成山,郑海峰,谢莹华,等.计及分布式发电的配电系统随机潮流计算[J].电力系统自动化,2005,29(24):39-44.WANG Cheng-shan,ZHENG Hai-feng,XIE Ying-hua,et al.Probabilistic power flow containing distributed generation in distribution system[J].Automation of Electric Power Systems,2005,29(24):39-44.
[15]刘怡芳,张步涵,李俊芳,等.考虑电网静态安全风险的随机潮流计算[J].中国电机工程学报,2011,31(1):59-64.LIU Yi-fang,ZHANG Bu-han,LI Jun-fang,et al.Probabilistic load flow algorithm considering static security risk of the power system[J].Proceedings of the CSEE,2011,31(1):59-64.
[2]谢开,刘永奇,朱治中,等.面向未来的智能电网[J].中国电力,2008,41(6):19-22.XIE Kai,LIU Yong-qi,ZHU Zhi-zhong,et al.The vision of future smart grid[J].Electric Power,2008,41(6):19-22.
[3]时珊珊,鲁宗相,周双喜,等.中国微电网的特点和发展方向[J].中国电力,2009,42(7):21-25.SHI Shan-shan,LU Zong-xiang,ZHOU Shuang-xi,et al.Features and developments of microgrids in China[J].Electric Power,2009,42(7):21-25.
[4]何大愚.关于未来智能电网的特征[J].中国电力,2012,45(2):9-11.HE Da-yu.Features of future smart grids[J].Electric Power,2012,45(2):9-11.
[5]陈星莺,顾欣欣,余昆,等.城市电网自愈控制体系结构[J].电力系统自动化,2009,33(24):38-42.CHEN Xing-ying,GU Xin-xin,YU Kun,et al.Architecture for self-healing control of urban power grid[J].Automation of Electric Power Systems,2009,33(24):38-42.
[6]徐臣.配电快速仿真及其分布式智能系统关键问题研究[D].天津:天津大学,2009.XU Chen.Study on key problems in DFSM and its distributed intelligence system[D].Tianjin:Tianjin University,2009.
[7]EPRI.Introduction to the OpenDSS[EB/OL].[2012-07-07].http://electricdss.svn.sourceforge.net/.
[8]ARRITT R F,DUGAN R C.The IEEE 8500-node test feeder[C]//2010 IEEE/PES Transmission and Distribution Conference and Exposition,New Orleans,USA,2010.
[9]SCHNEIDE K P,FULLER J C.Voltage control devices on the IEEE 8500 node test feeder[C]//2010 IEEE/PES Transmission&Distribution Conference&Exposition,New Orleans,USA,2010.
[10]梁伟宸,唐爱红.分布式电源的配电网重构和电容器优化投切[J].中国电力,2011,44(8):26-30.LIANG Wei-chen,TANG Ai-hong.Distribution system reconfiguration and optimal capacitor switching considering distributed generators[J].Electric Power,2011,44(8):26-30.
[11]袁沔齐,邹振宇,孙凯祺,等.基于遗传算法和微分进化算法的分布式电源优化配置[J].中国电力,2013,46(1):16-20.YUAN Mian-qi,ZOU Zhen-yu,SUN Kai-qi,et al.Optimal allocation of distributed generation based on genetic algorithms and differential evolution algorithm[J].Electric Power,2013,46(1):16-20.
[12]史济全,黄民翔.改进二进制差分进化算法在配电网络重构优化中的应用[J].机电工程,2008,25(12):64-66.SHI Ji-quan,HUANG Min-xiang.Application of improved binary differential evolution algorithm in distribution network reconfiguration[J].Mechanical&Electrical Engineering Magazine,2008,25(12):64-66.
[13]王守相,王成山.现代配电系统分析[M].北京:高等教育出版社,2007.
[14]王成山,郑海峰,谢莹华,等.计及分布式发电的配电系统随机潮流计算[J].电力系统自动化,2005,29(24):39-44.WANG Cheng-shan,ZHENG Hai-feng,XIE Ying-hua,et al.Probabilistic power flow containing distributed generation in distribution system[J].Automation of Electric Power Systems,2005,29(24):39-44.
[15]刘怡芳,张步涵,李俊芳,等.考虑电网静态安全风险的随机潮流计算[J].中国电机工程学报,2011,31(1):59-64.LIU Yi-fang,ZHANG Bu-han,LI Jun-fang,et al.Probabilistic load flow algorithm considering static security risk of the power system[J].Proceedings of the CSEE,2011,31(1):59-64.