基于智能電表的電器用電量分類計(jì)量方法研究
2020年信息技術(shù)與網(wǎng)絡(luò)安全第2期
梅凱1，蔡高琰2，駱德漢1，梁炳基2
(1.廣東工業(yè)大學(xué) 信息工程學(xué)院，廣東 廣州 510006； 2.廣東浩迪創(chuàng)新科技有限公司，廣東 佛山 528200)
摘要： 隨著電力需求側(cè)對(duì)于用電管理的重視度提升，只提供用戶總電量計(jì)量的電表已無法滿足人們的要求，為此，開創(chuàng)性地提出了在通用電表上實(shí)現(xiàn)用電器用電量分類計(jì)量方法。該方法利用電表的數(shù)據(jù)采集及處理功能獲取用電器特征后，將該暫態(tài)告警信息上傳至云端與預(yù)先建立的SVM模型進(jìn)行類別匹配，從而判定用電器類型及相應(yīng)的用戶操作，同時(shí)將識(shí)別結(jié)果及告警時(shí)間存入數(shù)據(jù)庫(kù)，后續(xù)通過分類計(jì)量策略實(shí)現(xiàn)各類用電器單獨(dú)的耗能量計(jì)算。實(shí)例驗(yàn)證了該方法的準(zhǔn)確性及可靠性，該方法具有較大實(shí)際應(yīng)用價(jià)值。
中圖分類號(hào)：TP391.4
文獻(xiàn)標(biāo)識(shí)碼：A
DOI： 10.19358/j.issn.2096-5133.2020.02.012
引用格式：梅凱，蔡高琰，駱德漢，等.基于智能電表的電器用電量分類計(jì)量方法研究［J］.信息技術(shù)與網(wǎng)絡(luò)安全，2020,39（2）：62-68.
文獻(xiàn)標(biāo)識(shí)碼：A
DOI： 10.19358/j.issn.2096-5133.2020.02.012
引用格式：梅凱，蔡高琰，駱德漢，等.基于智能電表的電器用電量分類計(jì)量方法研究［J］.信息技術(shù)與網(wǎng)絡(luò)安全，2020,39（2）：62-68.
Research on electricity consumption classification and measurment method based on smart meter
Mei Kai1,Cai Gaoyan2,Luo Dehan1,Liang Bingji2
(1.School of Information Engineering, Guangdong University of Technology，Guangzhou 510006，China; 2.Hodi Technology Co.Ltd.，F(xiàn)oshan 528200，China)
Abstract： With the increasing attention of power demand side to power consumption management, the electric meter that only provides the total electricity consumption of the users can no longer meet the requirements of people.Therefore, this paper creatively put forward a method that realized the classification of the electricity consumption of the electric appliance on the universal electric meter.After obtaining the characteristics of the electrical appliance by using the data collection and processing function of the electric meter,the transient alarm information is uploaded to the cloud and matched with the preestablished SVM model for class matching,thereby the type of the electrical appliance and the corresponding user operation can be determined,and simultaneously the identification results and alert time are stored in the database.The energy consumption calculation of each type of electrical appliances is realized through the classification measurement strategy.The accuracy and reliability of the method are verified by examples. This method has great practical application value.
Key words : load identification;smart meter;power demand side management;SVM;classification and measurment
0 引言
智能電表是智能電網(wǎng)建設(shè)的基石,也是各家各戶用電計(jì)量終端及用電信息中轉(zhuǎn)站，為實(shí)現(xiàn)需求側(cè)管理提供了重要保障。當(dāng)前，智能電表已經(jīng)實(shí)現(xiàn)分時(shí)計(jì)量策略，即按高峰用電和低谷用電分別計(jì)算電費(fèi)，但提供的信息有限，雖能在一定程度上規(guī)范用戶合理用電，但還未實(shí)現(xiàn)家用電器用電的分類計(jì)量，不能向電力管理部門及用戶提供各類用電器的用電明細(xì)。
本文詳細(xì)內(nèi)容請(qǐng)下載：http://www.jysgc.com/resource/share/2000003163
作者信息：
梅凱1，蔡高琰2，駱德漢1，梁炳基2
(1.廣東工業(yè)大學(xué) 信息工程學(xué)院，廣東 廣州 510006；2.廣東浩迪創(chuàng)新科技有限公司，廣東 佛山 528200)
此內(nèi)容為AET網(wǎng)站原創(chuàng)，未經(jīng)授權(quán)禁止轉(zhuǎn)載。