中国电力 ›› 2021, Vol. 54 ›› Issue (8): 11-18.DOI: 10.11930/j.issn.1004-9649.202007179

• 电能质量及其治理技术专栏 • 上一篇    下一篇

基于多维特征和Hausdorff距离的电压暂降治理成本估计

陆承宇1, 黄弘扬1, 徐群伟1, 何雨骏2, 汪颖2   

  1. 1. 国网浙江省电力有限公司电力科学研究院,浙江 杭州 310014;
    2. 四川大学 电气工程学院,四川 成都 610065
  • 收稿日期:2020-07-31 修回日期:2021-02-18 出版日期:2021-08-05 发布日期:2021-08-05
  • 作者简介:陆承宇(1973-),男,硕士,高级工程师,从事电力系统继电保护与控制研究,E-mail:chyu.lu@gmail.com;何雨骏(1996-),男,通信作者,硕士研究生,从事敏感设备电压耐受能力提升研究,E-mail:heyujun96@qq.com;汪颖(1981-),女,博士,副教授,博士生导师,从事电能质量与优质供电研究,E-mail:769429505@qq.com
  • 基金资助:
    国网浙江省电力有限公司科技项目(基于储能型MMC的统一电能质量控制器(UPQC)关键技术研究,5211DS19002V);国家自然科学基金资助项目(基于电能质量监测数据的工业过程电压暂降响应特性动态建模方法与应用,52077145)

Cost Estimation for Voltage Sag Control Based on Multidimensional Characteristics and Hausdorff Distance

LU Chengyu1, HUANG Hongyang1, XU Qunwei1, HE Yujun2, WANG Ying2   

  1. 1. Electric Power Research Institute of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310014, China;
    2. College of Electrical Engineering, Sichuan University, Chengdu 610065, China
  • Received:2020-07-31 Revised:2021-02-18 Online:2021-08-05 Published:2021-08-05
  • Supported by:
    This work is supported by Electric Power Research Institute of State Grid Zhejiang Electric Power Co., Ltd. (Research on Key Technology of Unified Power Quality Controller (UPQC) Based on Energy Storage MMC, No.5211DS19002V) and National Natural Science Foundation of China (Dynamic Modeling Method and Application of Voltage Sag Response Characteristics of Industrial Process Based on Power Quality Monitoring Data, No.52077145)

摘要: 电压暂降治理是非标准化工程,由于缺少用户侧详细信息,治理容量估计困难,易造成过度治理或治理不足。考虑治理对象受电压暂降多维特征影响的事实,研究治理对象耐受能力和治理容量识别问题,提出一种考虑电压暂降多维特征的敏感设备耐受能力Hausdorff距离识别方法,引入模式库概念,利用模糊隶属度判别治理对象电压耐受能力,在此基础上提出改进电压暂降严重程度指标,提出基于改进电压暂降严重程度指标和治理对象容量占比的治理容量识别方法,由此估计所需治理成本。结合某城市电网实际监测数据进行实证分析,结果证明了提出方法的有效性和合理性,便于实际工程应用。

关键词: 电压暂降治理, 电压暂降多维特征, Hausdorff距离, 模糊隶属度, 治理容量, 治理成本估计

Abstract: Voltage sag control is non-standardized. Due to the lack of user-side details, it is hard to estimate the control capacity, which frequently causes excessive or inadequate sag controls. Considering the fact that the control object is affected by the multidimensional characteristics of voltage sags, we carry out a study on the problem of tolerance ability and control capacity identification of the control objects, and propose a Hausdorff distance identification method for sensitive equipment tolerance ability with consideration of the their sag multidimensional characteristics. By introducing the concept of pattern library, the fuzzy membership is used to judge the voltage tolerance ability of control objects. On this basis, an improved voltage sag severity index is put forward, and a control capacity identification method is proposed based on the improved sag severity index and control object capacity ratio. And then the required control cost is estimated. Based on the actual monitoring data of a city power grid, a case study shows that the proposed method is effective and reasonable, and is easy for practical application.

Key words: voltage sag control, sag multi-characteristic, Hausdorff distance, fuzzy membership, control capacity, control cost estimation