敏感用户工业过程的过程免疫时间曲线刻画方法

PIT Curve Characterization Method for Industrial Processes of Sensitive User

摘要:

过程免疫时间曲线是分析敏感用户工业过程对电压暂降免疫力的重要工具。针对实际生产中过程参数监测困难、用户监测意愿低导致过程免疫时间曲线难以刻画的问题，文中提出监测数据缺失或不足时典型工业过程的过程免疫时间曲线模型构建方法。首先，基于典型工业过程结构，利用敏感设备电压暂降免疫时间常数计算过程免疫时间；然后，由经验公式和二次Lagrange插值分别得到无监测数据和少量监测数据情况下过程免疫时间曲线；最后，通过对某天然气压气站大功率电驱离心式压缩机系统的分析，验证了所提方法的可行性与有效性。

Abstract:

The process immunity time curve is an important tool to analyze the immunity of sensitive industrial process to voltage sag. In order to solve the problem that it is difficult to describe the process immunity time curve due to the monitoring difficulty of process parameters and low monitoring willingness of users in actual production, a method to build the process immunity time curve model is proposed for typical industrial processes with missing or insufficient monitoring data. Firstly, based on typical industrial process structure, the immunity time constant of voltage sag in sensitive equipment is used to calculate the process immunity time. Then, the empirical formula and quadratic Lagrange interpolation are used to obtain the process immunity time curves without monitoring data and with a small amount of monitoring data respectively. Finally, the feasibility and effectiveness of the proposed method are verified by the analysis of a high-power electric drive centrifugal compressor system in a natural gas compressor station.