考虑典型场景的配电网调控方案灵活性评估方法
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摘要
风电、光伏等新能源以及电动汽车充电站等时空分布高度不确定性负荷的逐渐渗透向配电网提出了调控灵活性的需求。针对配电网升级改造规划中不同的调控方案,从应对多场景、满足多目标这2个维度提出了矩阵形式的灵活性评估模式。在运行性能指标维度方面,提出包含新能源消纳、网络损耗、馈线均衡等在内的指标体系,并利用信息熵理论进行降维;在运行场景维度方面,通过K-medoids聚类算法提取典型场景集,并利用DS证据理论进行降维;最后得到对应于每种调控方案的灵活性量化指标。在IEEE 33配电网算例中,对以无功补偿电容器、无载调压变压器为代表的传统调控方案和以柔性多状态开关为代表的新型调控方案进行灵活性分析,验证了柔性多状态开关调控具有更高灵活性。
With the increase of distributed energy source and highly uncertain load in space-time distribution,the distribution network needs to be more flexible. In the planning of power distribution network upgrading and reconstruction,this paper proposes a matrix-based flexibility evaluation method from two dimensions of coping with multiple scenarios and meeting multiple objectives for different optional regulation methods. In the dimension of running scene set,K-medoids clustering algorithm is used to extract the typical scene set,and DS Evidence Theory is used to reduce the dimension; In the dimension of operational performance,the index system including new energy consumption,power loss and feeder balance etc. is proposed,and the dimension is reduced by using the Entropy Theory; Finally in the case of IEEE 33-node distribution network,the flexibility analysis of traditional regulation methods such as reactive power compensation capacitor and no-load tap changer and new regulation method such as Soft Opent Point is carried out,and finally Soft Opent Point shows higher flexibility according to the evaluation method.
With the increase of distributed energy source and highly uncertain load in space-time distribution,the distribution network needs to be more flexible. In the planning of power distribution network upgrading and reconstruction,this paper proposes a matrix-based flexibility evaluation method from two dimensions of coping with multiple scenarios and meeting multiple objectives for different optional regulation methods. In the dimension of running scene set,K-medoids clustering algorithm is used to extract the typical scene set,and DS Evidence Theory is used to reduce the dimension; In the dimension of operational performance,the index system including new energy consumption,power loss and feeder balance etc. is proposed,and the dimension is reduced by using the Entropy Theory; Finally in the case of IEEE 33-node distribution network,the flexibility analysis of traditional regulation methods such as reactive power compensation capacitor and no-load tap changer and new regulation method such as Soft Opent Point is carried out,and finally Soft Opent Point shows higher flexibility according to the evaluation method.
引文
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[12]周晓敏,葛少云,李腾,等.极端天气条件下的配电网韧性分析方法及提升措施研究[J].中国电机工程学报,2018,38(2):505-513.ZHOU Xiaomin,GE Shaoyun,LI Teng,et al.Assessing and boosting resilience of distribution system under extreme weather[J].Proceedings of the CSEE,2018,38(2):505-513.
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[15]武晓朦,刘健,毕鹏翔.配电网电压稳定性研究[J].电网技术,2006,30(24):31-35.WU Xiaomeng,LIU Jian,BI Pengxiang.Research on voltage stability of distribution networks[J].Power System Technology,2006,30(24):31-35.
[16]耿修林,谢兆茹.应用统计学[M].北京:科学出版社,2002:148.GENG Xiulin,XIE Zhaoru.Applied statistics[M].Beijing:Science Press,2002:148.
[17]林济铿,李童飞,赵子明,等.基于熵权模糊综合评价模型的电力系统黑启动方案评估[J].电网技术,2012,36(2):115-120.LIN Jikeng,LI Tongfei,ZHAO Ziming,et al.Assessment on power system black-start schemes based on entropy-weighted fuzzy comprehensive evaluation model[J].Power System Technology,2012,36(2):115-120.
[18]齐敏芳,付忠广,景源,等.基于信息熵与主成分分析的火电机组综合评价方法[J].中国电机工程学报,2013,33(2):58-64.QI Minfang,FU Zhongguang,JING Yuan,et al.A comprehensive evaluation method of power plant units based on information entropy and principal component analysis[J].Proceedings of the CSEE,2013,33(2):58-64.
[19]GLENN SHAFER.A mathematical theory of evidence[M].New Jersey:Princeton University Press,1976.
[20]李玲玲,刘敬杰,凌跃胜,等.物元理论和证据理论相结合的电能质量综合评估[J].电工技术学报,2015,30(12):383-391.LI Lingling,LIU Jingjie,LING Yuesheng,et al.Power quality comprehensive evaluation based on matter-element theory and evidence theory[J].Transactions of China Electrotechnical Society,2015,30(12):383-391.
[2]PAATERO J V,LUND P D.Effects of large-scale photovoltaic power integration on electricity distribution networks[J].Renewable Energy,2007,32(2):216-234.
[3]杨欢,蔡云旖,屈子森,等.配电网柔性开关设备关键技术及其发展趋势[J].电力系统自动化,2018,42(7):153-165.YANG Huang,CAI Yunyi,QU Zisen,et al.Key techniques and development trend of soft open point for distribution network[J].Automation of Electric Power Systems,2018,42(7):153-165.
[4]CAO Wanyu,WU Jianzhong,JENKINS Nick,et al.Benefits analysis of soft open points for electrical distribution network operation[J].Applied Energy,2016,165:36-47.
[5]肖定垚,王承民,曾平良,等.电力系统灵活性及其评价综述[J].电网技术,2014,38(6):1569-1576.XIAO Dingyao,WANG Chengmin,ZENG Pingliang,et al.Asurvey on power system flexibility and its evaluations[J].Power System Technology,2014,38(6):1569-1576.
[6]LANNOYE E,FLYNN D,O'MALLEY M.Evaluation of power system flexibility[J].IEEE Transactions on Power Systems,2012,27(2):922-931.
[7]CAPASSO A,FALVO M C,LAMEDICA R,et al.A new methodology for power systems flexibility evaluation[C]//Power Tech,2005 IEEE Russia.IEEE,2005:27-30.
[8]李海波,鲁宗相,乔颖,等.大规模风电并网的电力系统运行灵活性评估[J].电网技术,2015,39(6):1672-1678.LI Haibo,LU Zongxiang,QIAO Ying,et al.Assessment on operational flexibility of power grid with grid-connected large-scale wind farm[J].Power System Technology,2015,39(6):1672-1678.
[9]MA J,SILVA V,BELHOMME R,et al.Evaluating and planning flexibility in sustainable power systems[J].IEEE Transactions on Sustainable Energy,2013,4(1):200-209.
[10]卢志刚,马丽叶.配电网经济运行评价指标体系的建立[J].电网技术,2011,35(3):108-112.LU Zhigang,MA Liye.Establishment of evaluation index system for economic performance of distribution network[J].Power System Technology,2011,35(3):108-112.
[11]欧阳森,刘丽媛.配电网用电可靠性指标体系及综合评估方法[J].电网技术,2017,41(1):215-222.OUYANG Sen,LIU Liyuan.Reliability index system of distribution network for power consumer and its comprehensive assessment method[J].Power System Technology,2017,41(1):215-222.
[12]周晓敏,葛少云,李腾,等.极端天气条件下的配电网韧性分析方法及提升措施研究[J].中国电机工程学报,2018,38(2):505-513.ZHOU Xiaomin,GE Shaoyun,LI Teng,et al.Assessing and boosting resilience of distribution system under extreme weather[J].Proceedings of the CSEE,2018,38(2):505-513.
[13]鲁宗相,李海波,乔颖.高比例可再生能源并网的电力系统灵活性评价与平衡机理[J].中国电机工程学报,2017,37(1):9-19.LU Zongxiang,LI Haibo,QIAO Ying.Flexibility evaluation and supply/demand balance principle of power system with highpenetration renewable electricity[J].Proceedings of the CSEE,2017,37(1):9-19.
[14]赵晋泉,刘绪,林昌年,等.单相光伏大量接入的三相不平衡配电网无功优化[J].电力系统自动化,2016,40(13):201-207.ZHAO Jinquan,LIU Xu,LIN Changnian,et al.Three-phase unbalanced reactive power optimization for distribution systems with a large number of single phase solar generators[J].Automation of Electric Power Systems,2016,40(13):201-207.
[15]武晓朦,刘健,毕鹏翔.配电网电压稳定性研究[J].电网技术,2006,30(24):31-35.WU Xiaomeng,LIU Jian,BI Pengxiang.Research on voltage stability of distribution networks[J].Power System Technology,2006,30(24):31-35.
[16]耿修林,谢兆茹.应用统计学[M].北京:科学出版社,2002:148.GENG Xiulin,XIE Zhaoru.Applied statistics[M].Beijing:Science Press,2002:148.
[17]林济铿,李童飞,赵子明,等.基于熵权模糊综合评价模型的电力系统黑启动方案评估[J].电网技术,2012,36(2):115-120.LIN Jikeng,LI Tongfei,ZHAO Ziming,et al.Assessment on power system black-start schemes based on entropy-weighted fuzzy comprehensive evaluation model[J].Power System Technology,2012,36(2):115-120.
[18]齐敏芳,付忠广,景源,等.基于信息熵与主成分分析的火电机组综合评价方法[J].中国电机工程学报,2013,33(2):58-64.QI Minfang,FU Zhongguang,JING Yuan,et al.A comprehensive evaluation method of power plant units based on information entropy and principal component analysis[J].Proceedings of the CSEE,2013,33(2):58-64.
[19]GLENN SHAFER.A mathematical theory of evidence[M].New Jersey:Princeton University Press,1976.
[20]李玲玲,刘敬杰,凌跃胜,等.物元理论和证据理论相结合的电能质量综合评估[J].电工技术学报,2015,30(12):383-391.LI Lingling,LIU Jingjie,LING Yuesheng,et al.Power quality comprehensive evaluation based on matter-element theory and evidence theory[J].Transactions of China Electrotechnical Society,2015,30(12):383-391.