中国电力 ›› 2022, Vol. 55 ›› Issue (7): 59-66,73.DOI: 10.11930/j.issn.1004-9649.202102074

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基于虚拟上下限曲线的电压暂降防治指标

吕金炳1, 杨国朝2, 范兴管3   

  1. 1. 国网天津市电力公司电力科学研究院,天津 300384;
    2. 国网天津市电力公司城东供电分公司,天津 300250;
    3. 华北电力大学 电气与电子工程学院,北京 102206
  • 收稿日期:2021-02-23 修回日期:2022-04-03 出版日期:2022-07-28 发布日期:2022-07-20
  • 作者简介:吕金炳(1988—),男,硕士,高级工程师,从事电能质量及新能源技术研究,E-mail:jinbing.lv@tj.sgcc.com.cn;杨国朝(1988—),男,工程师,从事新能源和电能质量研究,E-mail:guochao.yang@tj.sgcc.com.cn;范兴管(1996—),男,通信作者,硕士研究生,从事电能质量及新能源技术研究,E-mail:1439167151@qq.com
  • 基金资助:
    国网天津市电力公司科技项目(高端制造用户友好供电服务技术研究,KJ20-1-11);国家重点研发计划资助项目(电力物联网关键技术,2020YFB0905905)。

A Voltage Sag Prevention Index Based on Virtual Upper and Lower Limit Tolerance Curve

LV Jinbing1, YANG Guochao2, FAN Xingguan3   

  1. 1. State Grid Tianjin Electric Power Company Electric Power Research Institute, Tianjin 300384, China;
    2. Chengdong Power Supply Branch of State Grid Tianjin Electric Power Company, Tianjin 300250, China;
    3. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
  • Received:2021-02-23 Revised:2022-04-03 Online:2022-07-28 Published:2022-07-20
  • Supported by:
    This work is supported by Science & Technology Projects of State Grid Tianjin Electric Power Company (Research on User-Friendly Power Supply Service Technology for High-End Manufacturing, No.KJ20-1-11) and National Key Research & Development Program of China (Key Technologies of Power Internet of Things, No.2020YFB0905905).

摘要: 基于敏感设备对电压暂降响应的不确定性,提出了一种针对单一耐受特性的虚拟上下限曲线的电压暂降防治指标。首先根据设备耐受特性的不确定性刻画虚拟上下限曲线,在此基础上建立了基于虚拟上下限曲线的电压暂降严重程度评估模型,直观地呈现对设备的影响情况;然后通过考虑用户治理期望设定阈值建立了补偿成本函数和基于经济效益的收益函数,并定义了电压暂降防治指标。最后实例分析验证了所提方法的有效性与合理性,可用于实际系统的电压暂降评估与治理工作。

关键词: 电压暂降, 虚拟上下限曲线, 严重程度评估, 用户治理期望, 防治指标

Abstract: Based on the uncertainty of equipment sensitivity to voltage sags, a voltage sag prevention index is proposed for the virtual upper and lower limit curve with single tolerance characteristic. Firstly, the virtual upper and lower limit curves are described according to the uncertainty of the equipment’s tolerance characteristics, and on this basis, a voltage sag severity evaluation model is established based on the virtual upper and lower limit curves to visually present the sag’s impact on the equipment. And then, with consideration of user mitigation expectation threshold, a compensation cost function and an economic benefit based profit function are established, and the voltage sag prevention index is defined. Finally, the effectiveness and rationality of the proposed method is verified through a case study. The proposed method can be used for voltage sag evaluation and governance of actual power systems.

Key words: voltage sag, virtual upper and lower limit curve, severity evaluation, user mitigation expectation, prevention index