本文選題：用電可視化 + 非干預(yù)式��； 參考：《上海電力學(xué)院》2014年碩士論文

【摘要】：居民用電節(jié)能對推進(jìn)整個(gè)社會的節(jié)能減排、緩解能源危機(jī)起著重要的作用。居民家庭的用電可視化技術(shù)是開展節(jié)能工作的基礎(chǔ)，它有助于用戶了解居民家庭內(nèi)不同時(shí)段各電器設(shè)備消耗電能的情況，制定合理的節(jié)能計(jì)劃，有針對性的選購節(jié)能設(shè)備，從而降低能源消耗，減少電費(fèi)開支。因此，實(shí)現(xiàn)居民家庭的用電可視化對提高我國能源利用效率、實(shí)現(xiàn)能源的可持續(xù)發(fā)展、建設(shè)節(jié)約型社會和緩解能源壓力等具有重要現(xiàn)實(shí)意義。 本文主要研究了基于負(fù)荷特性的非干預(yù)式居民家庭用電可視化技術(shù)，提出了一種全新的居民家庭用電可視化技術(shù)方案。主要研究工作如下：①對居民家庭中典型負(fù)荷的電流、諧波、PQ、V-I、瞬時(shí)功率等特性進(jìn)行了測試分析，并給出了各負(fù)荷特性特征值的計(jì)算提取方法，為構(gòu)建基于負(fù)荷特性的非干預(yù)式居民用電可視化系統(tǒng)打下基礎(chǔ)；②通過對分立式與非干預(yù)式居民家庭用電可視化系統(tǒng)的對比分析，提出了一種基于負(fù)荷特性的非干預(yù)式居民用電可視化系統(tǒng)，，并指出了其中需要研究的關(guān)鍵技術(shù)；③提出了一種基于滑動(dòng)窗的雙邊累積和（CUSUM）負(fù)荷暫態(tài)事件監(jiān)測算法，本算法能根據(jù)居民家庭負(fù)荷消耗的有功功率有效、自動(dòng)、準(zhǔn)確的監(jiān)測居民家庭電器負(fù)荷的開啟、關(guān)閉等暫態(tài)事件的發(fā)生；④提出了一種基于連續(xù)化0-1二次規(guī)劃的新的非干預(yù)式負(fù)荷識別算法，改進(jìn)了離散0-1二次規(guī)劃求解過程中約束條件不易處理、隨著識別設(shè)備種類數(shù)規(guī)模增大其計(jì)算量劇增等缺陷，測試驗(yàn)證了算法具有較高的抗干擾能力及較大的識別設(shè)備種類數(shù)量，識別精度保持在90%以上。 在上述研究成果基礎(chǔ)上，在實(shí)驗(yàn)室中搭建模擬居民家庭實(shí)驗(yàn)平臺，實(shí)例驗(yàn)證了基于滑動(dòng)雙邊累積和的負(fù)荷暫態(tài)事件檢測算法和基于0-1二次規(guī)劃的非干預(yù)式負(fù)荷識別算法實(shí)現(xiàn)的非干預(yù)式居民家庭用電可視化系統(tǒng)具有良好的應(yīng)用效果，系統(tǒng)監(jiān)測的各電器設(shè)備的啟停時(shí)刻與運(yùn)行時(shí)間等參數(shù)與實(shí)際情況一致、效果理想，且系統(tǒng)監(jiān)測的各電器的耗電量與實(shí)際各電器的耗電量誤差在0.72%以下，較精確的反映各電器的耗電量。結(jié)果表明，非干預(yù)式居民用電可視化系統(tǒng)可以便利的、經(jīng)濟(jì)的、準(zhǔn)確的監(jiān)測電器的運(yùn)行狀態(tài)及耗電量信息，指導(dǎo)用戶用電，降低電費(fèi)開支，實(shí)現(xiàn)節(jié)能減耗。最后，本文利用MATLAB GUI編寫了非干預(yù)式居民用電可視化系統(tǒng)演示平臺，更為方便、直觀地演示了本文所提出的居民用電可視化技術(shù)方案。
[Abstract]:The electricity - saving and emission reduction of residents plays an important role in promoting the energy - saving and emission reduction of the whole society and alleviating the energy crisis . The electricity utilization visualization technology of the residential families is the basis for energy - saving work . It helps users to understand the consumption of electric energy of various electric equipment in different periods in the residential families , formulate rational energy - saving plans , and select energy - saving equipment to reduce the energy consumption and reduce the electric charge expenses . Therefore , the realization of the power utilization of the residential families has important practical significance in improving the energy utilization efficiency of our country , realizing the sustainable development of energy , building a conservation society and relieving energy pressure .

This paper mainly studies the electrical visualization technology of non - intervention residential families based on load characteristics , and puts forward a brand - new technical scheme for residential electricity visualization . The main research work is as follows : ( 1 ) The characteristics of current , harmonic , PQ , V - I and instantaneous power of typical loads in residential families are tested and analyzed , and the calculation and extraction methods of the characteristic values of each load characteristic are given , which lays the foundation for the construction of non - intervention residents ' electricity visualization system based on load characteristics ;
( 2 ) Based on the comparative analysis of the vertical and non - intrusive household electrical visualization system , a non - intervention residential electricity visualization system based on load characteristics is proposed , and the key technology in which the research is needed is pointed out .
( 3 ) An algorithm based on sliding window to monitor the transient events of load transient events is proposed . This algorithm can monitor the occurrence of transient events such as opening and closing of household electrical appliances automatically and accurately according to the active power consumed by the household load .
In this paper , a new non - intervention load identification algorithm based on continuous 0 - 1 quadratic programming is proposed , which improves the constraint conditions in discrete 0 - 1 quadratic programming process . As the number of identification devices increases , the algorithm has higher anti - jamming capability and large number of identification devices , and the recognition accuracy is maintained above 90 % .

On the basis of the above research results , the experiment platform of simulated resident family is built in the laboratory . The results show that the non - intervention residential electricity visualization system based on the sliding bilateral cumulative sum load transient event detection algorithm and the non - intervention load identification algorithm based on the 0 - 1 quadratic programming has good application effect . The results show that the power consumption of each electric appliance which is monitored by the system is consistent with the actual situation , and the power consumption of each appliance is accurately reflected .
【學(xué)位授予單位】：上海電力學(xué)院
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM714

【參考文獻(xiàn)】

相關(guān)期刊論文 前4條

1 張鵬;李紅斌;;一種基于離散小波變換的諧波分析方法[J];電工技術(shù)學(xué)報(bào);2012年03期

2 梁明;李學(xué)瑞;石永華;馬芳;何麗嬌;;智能家居能耗管理的研究進(jìn)展[J];日用電器;2012年12期

3 任曉欣;胡姍;燕達(dá);彭琛;;基于實(shí)測的家用電器用電模型研究[J];建筑科學(xué);2012年S2期

4 李東東;崔龍龍;林順富;劉慶強(qiáng);覃子珊;任婧瑋;;家庭智能用電系統(tǒng)研究及智能控制器開發(fā)[J];電力系統(tǒng)保護(hù)與控制;2013年04期

相關(guān)博士學(xué)位論文 前1條

1 黎鵬;非侵入式電力負(fù)荷分解與監(jiān)測[D];天津大學(xué);2009年

本文編號：2094480