基于属性数学的配电网运行状态评估
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摘要
随着社会经济的发展,迫切需要实现配电网的自愈控制以满足电力用户对配电网供电日趋增高的要求,而实时准确地掌握配电网的运行状态是配电网实现自愈控制的前提。首先从安全、可靠、优质、经济和适应5个方面选取了运行状态评估指标,其次基于属性数学理论建立了配电网运行状态评估模型,将运行状态评估问题转化为配电网运行状态属性测度的计算问题,采用层次分析法确定评估指标权重,最后给出了求解配电网运行状态评估模型的过程。通过算例仿真校验,该模型能够准确客观地评估配电网的运行状态。
With the development of social economy, it is urgent to realize self-healing control of distribution network to meet the increasing demand of electricity users on distribution network. The real-time and accurate control of the distribution network operation state is the premise of self-healing control of the distribution network. Firstly, the operation state evaluation indices are established from 5 aspects, including safety, reliability, quality, economy and adaptability; Then, a operation state evaluation model of distribution network is constructed based on the attribute mathematics theory, which can transform the operation state evaluation issue into the attribute measure calculation issue of the distribution network operation state; Finally, the analytic hierarchy process is used to determine the weight of each index, and the process is provided for solving the operation state evaluation model of the distribution network. Simulation results show that the model can accurately and objectively evaluate the running state of distribution network.
With the development of social economy, it is urgent to realize self-healing control of distribution network to meet the increasing demand of electricity users on distribution network. The real-time and accurate control of the distribution network operation state is the premise of self-healing control of the distribution network. Firstly, the operation state evaluation indices are established from 5 aspects, including safety, reliability, quality, economy and adaptability; Then, a operation state evaluation model of distribution network is constructed based on the attribute mathematics theory, which can transform the operation state evaluation issue into the attribute measure calculation issue of the distribution network operation state; Finally, the analytic hierarchy process is used to determine the weight of each index, and the process is provided for solving the operation state evaluation model of the distribution network. Simulation results show that the model can accurately and objectively evaluate the running state of distribution network.
引文
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[15]程乾生.属性集和属性综合评价系统[J].系统工程理论与应用,1997(9):2-9,43.CHENG Qiansheng.Comprehensive evaluation system of attribute sets and attributes[J].Systems Engineering-Theory&Applications,1997(9):2-9,43.
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[17]文畅平.基于属性数学理论的岩体质量分级方法[J].水力发电学报,2008,27(3):75-80.WEN Changping.Classification of rock-mass stability based on attributive mathematical theory[J].Journal of Hydroelectric Engineering,2008,27(3):75-80.
[18]张姝,谭熙静,何正友,等.基于层次分析法的复杂配电网健康诊断研究[J].电力系统保护与控制,2013,41(13):7-13.ZHANG Shu,TAN Xijing,HE Zhengyou,et al.A study of health diagnosis for complex distribution grid based on analytic hierarchy process[J].Power System Protection and Control,2013,41(13):7-13.
[19]陈铁敏,杨洪耕,杨林.基于最大熵原理的电压暂降评估[J].现代电力,2008,25(3):13-17.CHEN Tiemin,YANG Honggeng,YANG Lin.Assessment of voltage sag based on maximum entropy principle[J].Modern Electric Power,2008,25(3):13-17.
[20]秦胜伍,吕江峰,陈剑平,等.基于最大熵-属性区间识别的隧道塌方风险评价[J].人民长江,2017,48(19):91-96.QIN Shengwu,LU Jiangfeng,CHEN Jianping,et al.Risk assessment of tunnel collapse based on maximum entropy-attribute interval identification[J].People’s Yangtze River,2017,48(19):91-96.
[2]WANG Chengshan,LUO Fengzhang,Bai Hui,et al.An evaluation method for power supply capacity of distribution system[C]//Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies(2008 DRPT),6-9 April 2008,2008:1244-1248.
[3]刘健,司玉芳.考虑负荷变化的配电网架安全评估及其应用[J].电力系统自动化,2011,35(23):70-75.LIU Jian,SI Yufang.Safety evaluation and its applications in distribution networks considering load variation[J].Automation of Electric Power Systems,2011,35(23):70-75.
[4]胡雯,孙云莲,王定美.基于运行状态评估的智能配电网自愈控制方案研究[J].陕西电力,2013,41(6):35-38.HU Wen,SUN Yunlian,WANG Dingmei.Self-healing control in smart distribution grid based on operation state evaluation[J].Shaanxi Electric Power,2013,41(6):35-38.
[5]NAGATA T,NAKAYAMA H,UTATANI M,et al.A multi-agent approach to power system normal state operations[C]//2002 IEEEPower Engineering Society Summer Meeting.2002,3:1582-1586.
[6]VIEIRA J P A,NUNES M V A,BEZERRA U H.Analysis of steadystate operation of DFIG-based wind turbines in power systems[J].Renewable Power Generation.IET,2011.
[7]FEI H,QUAN G,WEI L.Future operation mode forecasting and analysis based on dispatching integration system[C]//2011 IEEE,International Conference on Advanced Power System Automation and Protection(APAP),2011,1:648-652.
[8]ZIMMERMAN R D,MURILLO-SáNCHEZ C E,THOMAS R J.MATPOWER:Steady-state operations,planning,and analysis tools for power systems research and education[J].IEEE Transactions on Power Systems,2011,26(1):12-19.
[9]LI Y,MCCALLEY J D.Risk-based optimal power flow and system operation state[C]//Power&Energy Society General Meeting,2009.PES’09.IEEE.IEEE,2009:1-6.
[10]余昆,陈星莺,曹一家.城市电网自愈控制的分层递阶体系结构[J].电网技术,2012,36(10):165-71.YU Kun,CHEN Xingying,CAO Yijia.Hierarchical architecture for self-healing control of urban power network[J].Power System Technology,2012,36(10):165-71.
[11]王平,余昆,李振坤,等.采用多代理技术提高高压配电网的供电可靠性[J].中国电机工程学报,2009,29(S1):50-54.WANG Ping,YU Kun,LI Zhenkun,et al.Application of multi-agent technology to enhance power supply reliability of high voltage distribution network[J].Proceedings of the CSEE,2009,29(S1):50-54.
[12]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 Xingying,GU Xinxin,YU Kun,et al.Self-healing control architecture of urban power grids[J].Automation of Electric Power Systems,2009,33(24):38-42.
[13]刘健,赵倩,程红丽,等.配电网非健全信息故障诊断及故障处理[J].电力系统自动化,2010,34(7):50-56.LIU Jian,ZHAO Qian,CHENG Hongli,et al.Robust fault diagnosis and restoration for distribution grids[J].Automation of Electric Power Systems,2010,34(7):50-56.
[14]贾正源,赵亮,范辀.基于属性测度区间理论的变电站优质工程评价体系[J].电力自动化设备,2012,32(4):67-71.JIA Zhengyuan,ZHAO Liang,FAN Wei.Substation quality engineering evaluation system based on attribute measurement interval theory[J].Electric Power Automation Equipment,2012,32(4):67-71.
[15]程乾生.属性集和属性综合评价系统[J].系统工程理论与应用,1997(9):2-9,43.CHENG Qiansheng.Comprehensive evaluation system of attribute sets and attributes[J].Systems Engineering-Theory&Applications,1997(9):2-9,43.
[16]郭亚军.综合评价理论与方法[M].北京:科学出版社,2002.
[17]文畅平.基于属性数学理论的岩体质量分级方法[J].水力发电学报,2008,27(3):75-80.WEN Changping.Classification of rock-mass stability based on attributive mathematical theory[J].Journal of Hydroelectric Engineering,2008,27(3):75-80.
[18]张姝,谭熙静,何正友,等.基于层次分析法的复杂配电网健康诊断研究[J].电力系统保护与控制,2013,41(13):7-13.ZHANG Shu,TAN Xijing,HE Zhengyou,et al.A study of health diagnosis for complex distribution grid based on analytic hierarchy process[J].Power System Protection and Control,2013,41(13):7-13.
[19]陈铁敏,杨洪耕,杨林.基于最大熵原理的电压暂降评估[J].现代电力,2008,25(3):13-17.CHEN Tiemin,YANG Honggeng,YANG Lin.Assessment of voltage sag based on maximum entropy principle[J].Modern Electric Power,2008,25(3):13-17.
[20]秦胜伍,吕江峰,陈剑平,等.基于最大熵-属性区间识别的隧道塌方风险评价[J].人民长江,2017,48(19):91-96.QIN Shengwu,LU Jiangfeng,CHEN Jianping,et al.Risk assessment of tunnel collapse based on maximum entropy-attribute interval identification[J].People’s Yangtze River,2017,48(19):91-96.