引用本文: | 李天楚,伍智鹏,方 铭,李科得.基于Larsen推理的电压暂降下工业过程负荷损失率评估方法[J].电力系统保护与控制,2022,50(4):145-153.[点击复制] |
LI Tianchu,WU Zhipeng,FANG Ming,LI Kede.Load loss rate evaluation method of an industrial process under voltage sag based on Larsen reasoning[J].Power System Protection and Control,2022,50(4):145-153[点击复制] |
|
摘要: |
明确电压暂降对工业过程的影响程度,是进行暂降损失估计、提供治理方案的前提。考虑了工业过程设备级/过程级的电压暂降耐受能力,提出了一种负荷损失率的评估方法,以量化电压暂降对工业过程造成的危害。首先,为解决过程参数难以获取、精度低的问题,建立了基于物理结构的过程参数等值响应模型。将过程级的非电量过程参数值等效为电压值,以输入电压暂降特征量刻画设备和工业过程的耐受特性。然后,提出了基于Larsen推理的负荷损失率评估方法,以暂降特征量为推理前件、以负荷损失率为推理后件,构建了前件、后件的隶属度函数。实现了基于监测数据的过程负荷损失率的推理评估,减小评估结果对精确信息的依赖性。最后,应用该方法评估海南省某石化企业的电压暂降下负荷损失率,结果表明所提出方法正确且有效。 |
关键词: 电能质量 电压暂降 电压耐受曲线 负荷损失率 模糊推理 |
DOI:DOI: 10.19783/j.cnki.pspc.210388 |
投稿时间:2021-04-11修订日期:2021-07-16 |
基金项目:南方电网科技项目资助(073000KK52190007) |
|
Load loss rate evaluation method of an industrial process under voltage sag based on Larsen reasoning |
LI Tianchu,WU Zhipeng,FANG Ming,LI Kede |
(1. Electric Power Research Institute of Hainan Power Grid Corporation Ltd., Haikou 570311, China;
2. Key Laboratory of Physical and Chemical Analysis for Electric Power of Hainan Province, Haikou 570311, China) |
Abstract: |
It is a requirement of estimating voltage sag loss and providing a treatment scheme to know the impact of voltage sag on the industrial process. This paper considers the tolerance of voltage sags at the equipment/process level, and presents an evaluation method of load loss rate to quantify the harm of voltage sags. First, to solve the problems of obtaining process parameters and low accuracy, an equivalent response model of process parameters based on physical structure is established. The non-electrical process parameters at the process level are equivalent to the voltage values, and the characteristics of sag are used to describe the tolerance characteristics of equipment and industrial processes. Then, the load loss rate evaluation method based on Larsen reasoning is proposed. Taking the sag characteristic quantity as the antecedent and the load loss rate as the aftereffect, the membership functions are constructed. The evaluation of the load loss rate based on the monitoring data is realized, and the dependence of the evaluation result on accurate information is reduced. Finally, the method is applied to evaluate the load loss rate of a petrochemical enterprise in Hainan Province. The results show that the method proposed in this paper is correct and effective.
This work is supported by the Science and Technology Project of China Southern Power Grid (No. 073000KK52190007). |
Key words: power quality voltage sag voltage tolerance curve load loss rate fuzzy reasoning |