电能质量管理 第 2 部分：电能质量监测系统

[中文适用范围]： 本部分IEC 63222规定了公共供电网络电能质量监测系统的技术要求。适用于低压、中压和高压公共供电网络。 电能质量监测系统(PQMS)的设计过程通常包括以下四个步骤： • 步骤1：目的和应用分析 分析电能质量监测(PQM)需求并定义PQM的目的。 • 步骤2：初步研究 收集背景信息，如网络配置、仪器变压器的参数(如输出水平和性能能力)、负载或分布式发电(DG)的属性、通信条件、预算和其他限制条件，并根据相应原则选择要监测的参数和监测点。 • 步骤3：系统结构设计 根据监测目的，基于对各种系统结构优缺点的分析，设计监测系统的总体结构。 • 步骤4：功能模块详细设计 根据功能需求，详细设计数据采集、通信、数据存储、数据处理和分析等功能模块。 本文件定义了PQM的主要目的，并为初步研究提供了建议，如如何选择监测点和监测参数以及仪器变压器是否适合监测。本文件还对PQMS结构进行了分类，并规定了数据采集、通信、数据存储、数据处理和分析等功能模块的功能要求。 [外文原描述]： IEC TS 63222-2:2023 defines technical requirements for designing a power quality monitoring system for public power supply networks. It is applicable for LV, MV and HV public power supply networks. The design procedure of a power quality monitoring system (PQMS) generally includes the following four steps: • Step 1: purpose and application analysis: Analyse power quality monitoring (PQM) demand and define the purpose of PQM. • Step 2: preliminary study: Collect background information such as network configuration, the parameters of instrument transformers, e.g. the output levels and performance capabilities, attributes of loads or distributed generations (DG), communication conditions, budgets, and other restrictive conditions, and select the parameters to be monitored and monitoring sites according to corresponding principles. • Step 3: system structure design: Design the overall structure of the monitoring system according to the monitoring purpose based on the analysis of the advantages and disadvantages of various system structures. • Step 4: detailed design of functional modules: Design the function modules of data collection, communication, data storage, data processing and analysis in detail according to the functional requirements. This document defines the main purposes of PQM and gives recommendations for preliminary study, such as how to select monitoring sites and monitoring parameters and whether the instrument transformer is suitable for monitoring. This document also classifies the PQMS structure and specifies the functional requirements of the modules such as data collection, communication, data storage, data processing and analysis.