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首页 > 过刊浏览>2022年第37卷第4期 >45-56. DOI:10.19781/j.issn.1673-9140.2022.04.006
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考虑“源—荷”时序特性的配电网电压无功分区
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季玉琦(1989-),男,博士,讲师,主要从事新能源电力系统规划与经济运行的研究;E-mail:jiyuqi1989@163.com

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TM732

基金项目:

国家自然科学基金(51707176)；河南省科技攻关计划(212102210257)；国网河南省电力公司科技项目(5217I020000G)；河南省高等学校重点科研项目(20A470014)


Voltage and reactive power partitioning of distribution network considering the temporal information of "source-load"
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    摘要:

    分布式电源(DG)大规模接入配电网,其随机出力叠加负荷波动,增加了系统优化运行与控制的复杂程度。 基于“源—荷”时序变化特性分析 DG接入对配电网电压无功分区的影响,提出一种分区方案调整策略。首先,基于电压无功分区原则选取区域无功平衡、区域间耦合度、区域内耦合度以及区域无功储备等指标作为分区评价指标, 建立基于增广电压/无功灵敏度矩阵的模糊聚类分区模型,并通过分析风电、光伏时序出力特性,结合典型日负荷曲线划分“源—荷”典型时序场景;然后,分析在多个“源—荷”场景下四项分区评价指标的变化,进而针对“源—荷”时序变化导致的分区指标变化,提出分区调整方法;最后,利用改进的IEEE33节点系统进行仿真分析。结果表明, “源—荷”的时序出力变化对电压无功分区影响较大,所提分区调整方法可以根据“源—荷”时序变化对分区方案进行动态调整,能较好地将各分区评价指标控制在合理范围。

    Abstract:

    The integration of distributed generation (DG) to the distribution network and the random characteristic of DGs and load fluctuations increase the complexity of system optimization and control. In this paper, an adjustment strategy for partitioning is proposed considering the influence of DG integration on system voltage and reactive power partitioning based on the temporal characteristics of "source-load". Firstly, based on the principle of voltage and reactive power partitioning, four indexes containing regional reactive power balance, inter-regional coupling, intra-regional coupling, and regional reactive power reserve are selected as, and a fuzzy clustering partitioning model is established based on the augmented voltage and reactive power sensitivity matrix. Secondly, the characteristics of time series output of wind power and PV power, and typical daily load curve is analyzed to select the typical scenarios based on "source-load" time series. Then, a partitioning adjustment method is proposed considering the variations of the four regional evaluation indexes in multiple "source-load" scenarios. Finally, the simulation is conducted based on the modified IEEE 33-node system. And the results show that the sequential variation of the "source-load" affects the voltage and reactive power partitioning. Besides, the evaluation indexes of each partition can be controlled in a reasonable range based on the proposed partitioning adjustment method.

    参考文献
    [1] 韩悌,柯贤波,霍超,等.多直流、高占比新能源电力系统应对严重扰动新技术研究[J].智慧电力,2020,48(4):9-12+27.HAN Ti,KE Xianbo,HUO Chao,et al.New technology coping with serious disturbance in power system with multiple DC and high ratio new energy[J].Smart Power,2020,48(4):9-12+27.
    [2] 李顺昕,洪海峰,秦砺寒,等.考虑配电网最大消纳能力的集中型分布式电源并网点选择方法[J].电力科学与技术学报,2019,34(3):196-201.LI Shunxin,HONG Haifeng,QIN Lihan,et al.Selection of centralized distributed generation’s connection point considering the maximum absorptive capacity of the distribution network[J].Journal of Electric Power Science and Technology,2019,34(3):196-201.
    [3] 孙伟卿,刘唯,张婕.高比例可再生能源背景下配电网动态重构与移动储能协同优化[J].电力系统自动化,2021,45(19):80-90.SUN Weiqing,LIU Wei,ZHANG Jie.Collaborative optimization for dynamic reconfiguration of distribution network and mobile energy storage in background of high proportion of renewable energy[J].Automation of Electric Power Systems,2021,45(19):80-90.
    [4] 俞翔,鲁江,董云龙,等.适用于特高压多端混合直流输电系统的稳态电压控制方法[J].电力系统保护与控制,2022,50(1):174-180.YU Xiang,LU Jiang,DONG Yunlong,et al.A steady-state voltage control method for a multi-terminal hybrid UHVDC transmission system[J].Power System Protection and Control,2022,50(1):174-180.
    [5] 林少华,吴杰康,莫超,等.基于二阶锥规划的含分布式电源配电网动态无功分区与优化方法[J].电网技术,2018,42(1):238-246.LIN Shaohua,WU Jiekang,MO Chao,et al.Dynamic partition and optimization method for reactive power of distribution networks with distributed generation based on second-order cone programming[J].Power System Technology,2018,42(1):238-246.
    [6] 韩帅，孙乐平，杨艺云，等.基于改进K-means聚类和误差反馈的数据清洗方法[J].电网与清洁能源，2020,36(7):9-15.HAN Shuai，SUN Leping，YANG Yiyun，et al.A data cleaning method based on improved K-means clustering and error feedback[J].Power System and Clean Energy，2020,36(7):9-15.
    [7] 赵莉华,赵茂林,夏炜,等.基于K-means和SOM混合算法的高压断路器操作机构状态评估[J].高压电器,2020,56(1):36-42.ZHAO Lihua,ZHAO Maolin,XIA Wei,et al.Status assessment of high voltage circuit breaker operating mechanism based on K-means and SOM hybrid algorithm[J].High Voltage Apparatus,2020,56(1):36-42.
    [8] MEYERHENKE H,SANDERS P,SCHULZ C.Parallel graph partitioning for complex networks[J].IEEE Transactions on Parallel and Distributed Systems,2017,28(9):2625-2638.
    [9] WANG Y R,LI F X,WAN Q L,et al.Reactive power planning based on fuzzy clustering,gray code,and simulated annealing[J].IEEE Transactions on Power Systems,2011,26(4):2246-2255.
    [10] 李争博,刘友波,任鹏哲,等.考虑地理信息聚类分区的配电网多阶段动态规划方法[J].电力系统自动化,2022,46(14):38-45.LI Zhengbo,LIU Youbo,REN Pengzhe,et al.Multi-stage dynamic planning method for distribution network considering clustering and partitioning of geographic information[J].Automation of Electric Power Systems,2022,46(14):38-45.
    [11] 徐韵,颜湘武.含可再生分布式电源参与调控的配电网动态分区实时无功优化方法[J].现代电力,2020,37(1):42-51.XU Yun,YAN Xiangwu.Dynamic partitioning real-time reactive power optimization method distribution network with renewable distributed generators participating in regulation[J].Modern Power,2020,37(1):42-51.
    [12] 郑晓莹,陈政轩,曾琮.含分布式电源的配电网双层分区调压策略[J].电力系统保护与控制,2021,49(6):90-97.ZHENG Xiaoying,CHEN Zhengxuan,ZENG Cong.Double-layer partition voltage regulation strategy of a distribution network with distributed generation[J].Power System Protection and Control,2021,49(6):90-97.
    [13] 丁明,刘先放,毕锐,等.采用综合性能指标的高渗透率分布式电源集群划分方法[J].电力系统自动化,2018,42(15):47-52+141.DING Ming,LIU Xianfang,BI Rui,et al.Method for cluster partition of high-penetration distributed generators based on comprehensive performance index[J].Automation of ElectricPower Systems,2018,42(15):47-52+141.
    [14] 崔惟,颜伟,Lee Weijen,等.考虑区域无功平衡的主导节点选择和无功分区的优化方法[J].电网技术,2017,41(1):164-170.CUI Wei,YAN Wei,Lee Weijen e,et al.Optimal pilot-bus selection and network partitioning algorithm considering zonal reactive power balance[J].Power System Technology,2017,41(1):164-170.
    [15] 张艳艳.电力系统无功电压控制分区研究综述[J].电工电气,2018(3):1-6+28.ZHANG Yanyan.Research overview of reactive voltage control partitioning for power systems[J].Electrotechnics Electric,2018(3):1-6+28.
    [16] 李建芳,张璐,宋晓辉,等.含高渗透率分布式电源的配电网多目标无功分区及主导节点选择方法[J].可再生能源,2017,35(11):1664-1671.LI Jianfang,ZHANG Lu,SONG Xiaohui,et al.Multi-objective reactive power partitioning and pilot node selection for distribution network with high penetration DGs[J].Renewable Energy,2017,35(11):1664-1671.
    [17] 颜湘武,徐韵.考虑网络动态重构含多异质可再生分布式电源参与调控的配电网多时空尺度无功优化[J].电工技术学报,2019,34(20):4358-4372.YAN Xiangwu,XU Yun.Multiple time and space scale reactive power optimization for distribution network with multi-heterogeneous RDG participating in regulation and considering network dynamic reconfiguration[J].Transactions of the China Electrotechnical Society,2019,34(20):4358-4372.
    [18] 郭庆来,孙宏斌,张伯明,等.基于无功源控制空间聚类分析的无功电压分区[J].电力系统自动化,2005,29(10):36-40+54.GUO Qinlai,SUN Hongbing,ZHANG Boming,et al.Power network partitioning based on clustering analysis in mavar control space[J].Automation of Electric Power Systems,2005,29(10):36-40+54.
    [19] 宫一玉,吴浩,宋卓然.发电机无功储备的定义和评估[J].电网技术,2013,37(7):1902-1908.GONG Yiyu,WU Hao,SONG Zhuoran.Definition and assessment of generator reactive power reserve[J].Power System Technology,2013,37(7):1902-1908.
    [20] 吴浩,郭瑞鹏,甘德强,等.发电机有效无功储备的分析和计算[J].电力系统自动化,2011,35(15):13-17+39.WU Hao,GUO Ruipeng,GAN Deqiang,etal.Analysis and computation of effective reactive power reserve of generators[J].Automation of Electric Power Systems,2011,35(15):13-17+39.
    [21] 杨秀媛,董征,唐宝,基于模糊聚类分析的无功电压控制分区[J].中国电机工程学报,2006,26(22):6-10.YANG Xiuyuan,DONG Zheng,TANG Bao,et al.Power network partitioning based on fuzzy clustering analysis[J].Proceedings of the CSEE,2006,26(22):6-10.
    [22] 林之岸,罗欣,魏骁雄,等.基于双层聚类和模糊等级评定的客户侧供电服务评价[J].电力系统保护与控制,2021,49(23):62-71.LIN Zhian,LUO Xin,WEI Xiaoxiong,et al.Client-side power supply service evaluation based on two-level clustering and fuzzy comprehensive evaluation[J].Power System Protection and Control,2021,49(23):62-71.
    [23] Naveen Jain,Singh S N,文福拴.分布式发电当前趋势与将来挑战[J].电力科学与技术学报,2008,23(4):53-61.NAVEEN JAIN,SINGH S N,WEN Fushuan.Distributed generation recent trends and future challenges[J].Journal of Electric Power and Technology,2008,23(4):53-61.
    [24] 王晶,黄越辉,李驰,等.考虑空间相关性和天气类型划分的多光伏电站时间序列建模方法[J].电网技术,2020,44(4):1376-1384.WANG Jing,HUANG Yuehui,LI Chi,et al.Time series modeling method for multi-photovoltaic power stations considering spatial correlation and weather type classification[J].Power System Technology,2020,44(4):1376-1384.
    [25] 孙元章,吴俊,李国杰,等.基于风速预测和随机规划的含风电场电力系统动态经济调度[J].中国电机工程学报,2009,29(4):41-47.SUN Yuanzhang,WU Jun,LI Guojie,et al.Dynamic economic dispatch considering wind power penetration based on wind speed forecasting and stochastic programming[J].Proceedings of the CSEE,2009,29(4):41-47.
    [26] 高久国，赵艳龙，朱司丞，等.考虑光伏并网的电力系统无功优化[J].电测与仪表,2020,57(14):69-73.GAO Jiuguo,ZHAO Yanlong,ZHU Sicheng,et al.Optimal reactive power dispatch considering photovoltaic integration[J].Electrical Measurement & Instrumentation,2020,57(14):63-68.
    [27] 徐韵,颜湘武.含可再生分布式电源参与调控的配电网无功电压优化控制研究综述[J].华北电力大学学报(自然科学版),2019,46(4):16-30.XU Yun,YAN Xiangwu.Review of research on optimal control of reactive voltage in distribution network manipulated by renewable distributed generation[J].Journal of North China Electric Power University(Natural Science Edition),2019,46(4):16-30.
    [28] 高荣,寇鹏,梁得亮,等.含混合式配电变压器的主动配电网电压鲁棒模型预测控制[J].中国电机工程学报,2020,40(7):2081-2090+2388.GAO Rong,KOU Peng,LIANG Deliang,et al.Robust model predictive control for the voltage regulation in activedistribution networks with hybrid distribution transformers[J].Proceedings of the CSEE,2020,40(7):2081-2090+2388.
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季玉琦,陈雪寒,薛源,等.考虑“源—荷”时序特性的配电网电压无功分区[J].电力科学与技术学报,2022,37(4):45-56.
Ji Yuqi, Chen Xuehan, Xue Yuan, et al. Voltage and reactive power partitioning of distribution network considering the temporal information of "source-load"[J]. Journal of Electric Power Science and Technology,2022,37(4):45-56.

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