基于大数据的发电机组无功运行考核评价方法研究
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摘要
在电力传输过程中,存在输电线路、变压器、母线等电气设备出现损耗从而降低供电效率的情况,目前常用无功补偿的方式来解决此问题。因此无功补偿装置的性能对电力系统安全稳定运行具有十分重要的作用。但是目前对于无功运行管理方面缺乏高效的手段,亟需完整科学的方法进行指导。针对上述问题和需求,本文首先应用大数据技术构建了支撑评价指标计算和分析的数据层,根据发电机组无功运行考核的实际业务需求分析提出了完整的评价指标体系,包括设备可用率、设备折旧率和设备故障率三个二级指标,最后提出了层次分析法与熵权值法相结合的综合评价方法。应用本文提出的指标对并网发电机组的无功运行情况进行考核评价,能够从客观角度反映机组的实际运行情况,为电网运行专业管理人员提供辅助决策。
In the process of power transmission,there are cases where power lines such as transmission lines,transformers,and bus bars are depleted to reduce power supply efficiency. Currently,reactive power compensation is commonly used to solve this problem. Therefore,the performance of the reactive power compensation device plays an important role in the safe and stable operation of the power system. However,there is currently no efficient means for reactive operation management,there is urgent need for a completely scientific approach to guidance. In view of the above problems and needs,this paper firstly applies the big data technology to build the data layer that supports the calculation and analysis of the evaluation indicators. According to the actual business demand analysis of the reactive operation evaluation of the generator set,a complete evaluation index system is proposed,including three secondary indicators,which are equipment availability,equipment depreciation rate and Equipment failure rate. Finally,the analytic hierarchy process is proposed. A comprehensive evaluation method combined with the entropy weight method. Applying the indicators proposed in this paper to evaluate the reactive operation of the grid-connected generator set,it can reflect the actual operation of the unit from an objective angle,and provide auxiliary decision-making for the professional management personnel of the grid operation.
In the process of power transmission,there are cases where power lines such as transmission lines,transformers,and bus bars are depleted to reduce power supply efficiency. Currently,reactive power compensation is commonly used to solve this problem. Therefore,the performance of the reactive power compensation device plays an important role in the safe and stable operation of the power system. However,there is currently no efficient means for reactive operation management,there is urgent need for a completely scientific approach to guidance. In view of the above problems and needs,this paper firstly applies the big data technology to build the data layer that supports the calculation and analysis of the evaluation indicators. According to the actual business demand analysis of the reactive operation evaluation of the generator set,a complete evaluation index system is proposed,including three secondary indicators,which are equipment availability,equipment depreciation rate and Equipment failure rate. Finally,the analytic hierarchy process is proposed. A comprehensive evaluation method combined with the entropy weight method. Applying the indicators proposed in this paper to evaluate the reactive operation of the grid-connected generator set,it can reflect the actual operation of the unit from an objective angle,and provide auxiliary decision-making for the professional management personnel of the grid operation.
引文
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[12]马世英,印永华,李柏青,等.我国互联电网电压稳定评价标准框架探讨[J].电网技术,2006,30(17):8-13.MA Shiying,YIN Yonghua,LI Baiqing,et al. A research on voltage stability evaluation criteria for interconnected power grid in China[J]. Power System Technology,2006,30(17):8-13.
[13]李欣然,刘杨华,朱湘有,等.高压配电网建设规模的评估指标体系及其应用研究[J].中国电机工程学报,2006,26(17):18-24.LI Xinran,LIU Yanghua,ZHU Xiangyou,et al. Indices system and its application for evaluating planning scale of HV distribution network[J]. Proceedings of the CSEE,2006,26(17):18-24.
[14]王佳贤,程浩忠,胡泽春.多负荷水平下的配电网无功优化规划方法[J].电网技术,2008,32(19):56-61.WANG Jiaxian,CHENG Haozhong,Hu Zechun. Optimal reactive power planning for distribution systems considering multi-load levels[J]. Power System Technology,2008,32(19):56-61.
[15]刘传铨,张焰.电力系统无功补偿点及其补偿容量的确定[J].电网技术,2007,31(12):79-81.LIU Chuanquan,ZHANG Yan. Confirmation of reactive power compensation node and its optimal compensation capacity[J].Power System Technology,2007,31(12):79-81.
[2]颜伟,田志浩,余娟,等.高压配电网无功运行状态评估指标体系[J].电网技术,2011,35(10):104-109.YAN Wei,TIAN Zhihao,YU Juan,et al. An index system to assess reactive power operation in high voltage distribution network[J].Power System Technology,2011,35(10):104-109.
[3]王德文,孙志伟.电力用户侧大数据分析与并行负荷预测[J].中国电机工程学报,2015,35(03):527-537.WANG Dewen,SUN Zhiwei. Big data analysis and parallel load forecasting of electric power user side[J]. Proceedings of the CSEE,2015,35(03):527-537.
[4]张东霞,苗新,刘丽平,等.智能电网大数据技术发展研究[J].中国电机工程学报,2015,35(01):2-12.ZHANG Dongxia,MIAO Xin,LIU Liping,et al. Research on development strategy for smart grid big data[J]. Proceedings of the CSEE,2015,35(01):2-12.
[5]卫泽晨,赵凤展,王佳慧,等.网格化中低压智能配电网评价指标体系与方法[J].电网技术,2016,40(01):249-255.WEI Zechen,ZHAO Fengzhan,WANG Jiahui,et al. Gridding evaluation index system and method of MV and LV intelligent distribution network[J]. Power System Technology,2016,40(01):249-255.
[6]文明,何禹清,蒋海波,等.计及无功经济价值的配电网电容器优化配置[J].电力系统保护与控制,2011,39(09):59-64.WEN Ming,HE Yuqing,JIANG Haibo,et al. Optimal planning of capacitor in distribution systems considering the reactive power value[J]. Power System Protection and Control,2011,39(09):59-64.
[7]聂宏展,吕盼,乔怡,等.基于熵权法的输电网规划方案模糊综合评价[J].电网技术,2009,33(11):60-64.NIE Hongzhan,LV Pan,QIAO Yi,et al. Comprehensive fuzzy evaluation for transmission network planning scheme based on entropy weight method[J]. Power System Technology,2009,33(11):60-64.
[8]欧阳蓉.考虑经济性和电压稳定性的含电子电力变压器的多目标最优潮流计算[J].电力大数据,2018,21(12):69-75.OUYANG Rong. Multi-objective optimal power flow calculation considering economy and voltage stability factors for power grids incorporating electronic power transformer[J]. Power Systems and Big Data,2018,21(12):69-75.
[9]邱晓燕,张子健,李兴源.基于改进遗传内点算法的电网多目标无功优化[J].电网技术,2009,33(13):27-31.QIU Xiaoyan,ZHANG Zijian,LI Xingyuan. Multi-objective reactive power optimization based on improved genetic-interior point algorithm[J]. Power System Technology,2009,33(13):27-31.
[10]刘科研,盛万兴,李运华.基于改进免疫遗传算法的无功优化[J].电网技术,2007,31(13):11-16.LIU Keyan,SHENG Wanxing,LI Yunhua. Reactive power optimization based on improved immunity genetic algorithm[J].Power System Technology,2007,31(13):11-16.
[11]姜振超,杨洪耕.基于数学形态学和遗传算法的配电网动态无功优化方法[J].电网技术,2007,31(23):68-73.JIANG Zhenchao,YANG Honggeng. A mathematical morphology and genetic algorithm based dynamic reactive power optimization method for distribution network[J]. Power System Technology,2007,31(23):68-73.
[12]马世英,印永华,李柏青,等.我国互联电网电压稳定评价标准框架探讨[J].电网技术,2006,30(17):8-13.MA Shiying,YIN Yonghua,LI Baiqing,et al. A research on voltage stability evaluation criteria for interconnected power grid in China[J]. Power System Technology,2006,30(17):8-13.
[13]李欣然,刘杨华,朱湘有,等.高压配电网建设规模的评估指标体系及其应用研究[J].中国电机工程学报,2006,26(17):18-24.LI Xinran,LIU Yanghua,ZHU Xiangyou,et al. Indices system and its application for evaluating planning scale of HV distribution network[J]. Proceedings of the CSEE,2006,26(17):18-24.
[14]王佳贤,程浩忠,胡泽春.多负荷水平下的配电网无功优化规划方法[J].电网技术,2008,32(19):56-61.WANG Jiaxian,CHENG Haozhong,Hu Zechun. Optimal reactive power planning for distribution systems considering multi-load levels[J]. Power System Technology,2008,32(19):56-61.
[15]刘传铨,张焰.电力系统无功补偿点及其补偿容量的确定[J].电网技术,2007,31(12):79-81.LIU Chuanquan,ZHANG Yan. Confirmation of reactive power compensation node and its optimal compensation capacity[J].Power System Technology,2007,31(12):79-81.