居民负荷设备的非侵入式识别方法研究  

Non-Intrusive Identification Method for Residential Appliances

作　　者：李刚[1,2] 于长海[1] 王天军[3] 宋雨[1] 沈玉兰[1] 

机构地区：[1]华北电力大学,河北保定071003 [2]新能源电力系统国家重点实验室(华北电力大学),北京102206 [3]国网新疆电力公司信息通信公司,新疆乌鲁木齐830000

出　　处：《电力信息与通信技术》2017年第5期54-60,共7页Electric Power Information and Communication Technology

基　　金：国家自然科学基金(51407076);河北省自然科学基金(F2014502050);中央高校基本科研业务费专项资金(2015ZD28)

摘　　要：在智能电网信息化、自动化、智能化不断提升的过程中,电力系统对需求侧的透明度要求越来越高,实时、精确的负荷设备识别对于电力系统的规划、负荷预测以及市场调节至关重要。首先,基于智能电表提供的数据,采用家用电器正常工作时的稳态和暂态功率特性作为贴近度比较的参考量,详细分析了传统家用负荷的识别过程。其次,重点分析了电动汽车的充放电行为特征,采用常规的电动汽车充放电暂态与稳态参数作为基本模板,设计了非侵入式电动汽车充放电识别方法。仿真算例结果表明,该方法能够较为快速准确地识别出计及电动汽车的电力系统负荷特性。In the process of smart grid information, automation, intelligent upgrade, the demand for transparency of power system is becoming higher and higher. Real time and accurate load identification is critical for power system planning, load forecasting and market regulation. First, this paper focuses on the analysis of household load identification, based on the data provided by smart meters, using the steady-state and transient power characteristics of household appliances as the reference value of the similarity comparison. Secondly, the characteristics of charging and discharging are analyzed. Based on the conventional electric vehicle charging and discharging transient and steady state parameters as the basic template, a non-intrusive electric vehicle charging and discharging identification method is designed. The simulation results show that the proposed method can quickly and accurately identify the load characteristics of electric vehicle.

关 键 词：智能电网 负荷识别 非侵入式 贴近度 电动汽车 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]