本文選題：多能源儲(chǔ)能系統(tǒng) + 三相逆變器�。� 參考：《浙江大學(xué)》2016年博士論文

【摘要】："十三五"規(guī)劃首次將儲(chǔ)能以專項(xiàng)規(guī)劃形式納入國(guó)家級(jí)規(guī)劃,電力電子技術(shù)是利用電力電子器件對(duì)電能進(jìn)行高效控制和轉(zhuǎn)換的新興學(xué)科,是儲(chǔ)能環(huán)節(jié)和用戶端的接口技術(shù)。面向長(zhǎng)備用、安全可靠、高效率的防災(zāi)供電需求和風(fēng)電、光電等新能源需求,多能源儲(chǔ)能系統(tǒng)需要具備高的可靠性,并且具有故障診斷和故障預(yù)測(cè)的能力,持續(xù)不間斷地工作以減少因故障停機(jī)而帶來的經(jīng)濟(jì)損失。故障診斷技術(shù)和參數(shù)辨識(shí)技術(shù)作為提高多能源儲(chǔ)能系統(tǒng)可靠性的有效途徑,已經(jīng)成為該研究領(lǐng)域的熱點(diǎn)和重點(diǎn)。研究表明,在多能源儲(chǔ)能系統(tǒng)中,功率變換器尤其是逆變器中的半導(dǎo)體器件和無源器件是容易發(fā)生故障的薄弱環(huán)節(jié)。因此,對(duì)多能源儲(chǔ)能系統(tǒng)中三相逆變器的故障診斷技術(shù)和參數(shù)辨識(shí)技術(shù)方面的深入研究具有重要的理論意義和工程應(yīng)用價(jià)值。本文具體研究?jī)?nèi)容包括以下四個(gè)方面:(1)提出了適用于故障診斷的三相逆變器電路的電壓解析模型,并提出了基于橋臂中點(diǎn)間電壓和基于橋臂中點(diǎn)電壓的兩種故障診斷方法,提高了診斷速度、診斷準(zhǔn)確性,適用于各種負(fù)載情況。基于電壓量的故障診斷方法能快速地診斷故障,不過需要額外傳感器和硬件電路的支持,但是面向多能源儲(chǔ)能系統(tǒng)的應(yīng)用背景,故障診斷速度和冗余切換快速性是至關(guān)重要的因素。因此本文詳細(xì)分析了三相逆變器電路每一種開關(guān)管開路故障情況下電路特征電壓的變化,提出了適用于故障診斷的三相逆變器電路的電壓解析模型�；陔妷航馕瞿Ｐ�,提出了兩種電壓型的故障診斷方法,即基于橋臂中點(diǎn)間電壓的故障診斷方法和基于橋臂中點(diǎn)電壓的故障診斷方法。兩種故障診斷方法都具有較強(qiáng)的抗干擾性和魯棒性,基于橋臂中點(diǎn)電壓的故障診斷方法的診斷時(shí)間比基于橋臂中點(diǎn)間電壓的故障診斷方法的少,最大診斷時(shí)間為1/2個(gè)基波周期。所以基于橋臂中點(diǎn)電壓的故障診斷方法是相對(duì)較優(yōu)的一種故障診斷方法。(2)提出了基于靈活參考電壓的電壓殘差故障診斷方法。從多能源儲(chǔ)能系統(tǒng)成本角度考慮,基于電流型的故障診斷方法優(yōu)于基于電壓型的故障診斷方法。本文利用閉環(huán)控制系統(tǒng)已有的電壓采樣量作為故障診斷的電氣狀態(tài)量,結(jié)合殘差理論提出了基于靈活參考電壓的三相逆變器故障診斷方法,方便以子程序的形式植入到已有的閉環(huán)控制算法中。通過統(tǒng)計(jì)的方法給出了殘差評(píng)價(jià)的決策函數(shù)和決策規(guī)則,在故障診斷速度和診斷準(zhǔn)確性兩個(gè)性能指標(biāo)之間折中考慮選擇比較閾值,在確保故障診斷準(zhǔn)確性的前提下,提高了故障診斷的速度。(3)研究了多能源儲(chǔ)能系統(tǒng)的基本結(jié)構(gòu)和多功率模塊并聯(lián)系統(tǒng)故障診斷的需求,首次將蟻群算法思想應(yīng)用到多能源儲(chǔ)能系統(tǒng)故障診斷領(lǐng)域,提出了基于蟻群算法的多功率模塊并聯(lián)系統(tǒng)故障診斷方法。多能源儲(chǔ)能系統(tǒng)中存在多個(gè)功率模塊并聯(lián)的情況,包括直流-直流變換多功率模塊并聯(lián)系統(tǒng)和直流-交流變換多功率模塊并聯(lián)系統(tǒng)。系統(tǒng)級(jí)的故障診斷技術(shù)相對(duì)于電路級(jí)的故障診斷技術(shù),不需要診斷對(duì)象的精確模型,并且能夠在不增加診斷對(duì)象額外成本的情況下,快速有效得進(jìn)行故障診斷。對(duì)多功率模塊并聯(lián)系統(tǒng)進(jìn)行故障診斷建模,提出了一種簡(jiǎn)單有效的環(huán)形比較圖結(jié)構(gòu)模型。然后將蟻群算法思想引申到環(huán)形比較圖結(jié)構(gòu)模型中,構(gòu)建了適用于多功率模塊并聯(lián)系統(tǒng)故障診斷的螞蟻系統(tǒng)。在此基礎(chǔ)上,提出了基于蟻群算法的多功率模塊并聯(lián)系統(tǒng)故障診斷方法,實(shí)現(xiàn)了系統(tǒng)級(jí)的故障診斷。(4)研究了一類大功率應(yīng)用場(chǎng)合下毫亨級(jí)的磁粉芯材料功率電感,建立了電感的模型并提出了電感的失效標(biāo)準(zhǔn),通過最小二乘法實(shí)現(xiàn)了電感參數(shù)的在線辨識(shí),實(shí)現(xiàn)了多能源儲(chǔ)能系統(tǒng)的故障預(yù)測(cè)。實(shí)際電感可以等效為理想電感和等效串聯(lián)電阻的串聯(lián),選擇電感等效電路模型中的電感值作為電感的故障特征參數(shù),將電感值偏小20%作為判定電感失效的標(biāo)準(zhǔn)。然后在建立多能源儲(chǔ)能系統(tǒng)三相逆變器電路模型的基礎(chǔ)上,探討了一種能有效應(yīng)用于參數(shù)性故障診斷的辨識(shí)方法。同時(shí),針對(duì)三相逆變器電路中電感參數(shù)隨負(fù)載電流偏置變化的情況,提出了一種改進(jìn)的適用于變電感情況的參數(shù)辨識(shí)算法,實(shí)現(xiàn)了電感參數(shù)的在線辨識(shí)。
[Abstract]:In 13th Five-Year, the plan of "13th Five-Year" is integrated into national planning for the first time in the form of special planning. Power electronic technology is a new subject using power electronic devices to effectively control and convert electrical energy. It is the energy storage link and the interface technology of the user side. The demand for long reserve, safety and reliability, high efficiency, power supply and electricity, photoelectric and other new energy Source demand, the multi energy energy storage system needs high reliability, and has the ability of fault diagnosis and fault prediction, continuous and continuous work to reduce the economic loss caused by failure. As an effective way to improve the reliability of multi energy energy storage system, fault diagnosis technology and parameter identification technology have become the research. The research shows that in the multi energy energy storage system, the power converter, especially the semiconductor device and the passive device in the inverter, is the weak link of the fault easily. Therefore, it is important to study the fault diagnosis technology and the parameter identification technology of the three-phase inverter in the multi energy energy storage system. The theoretical significance and engineering application value. The specific research contents of this paper include the following four aspects: (1) the voltage analytic model of the three-phase inverter circuit suitable for fault diagnosis is proposed, and two fault diagnosis methods based on the middle point voltage of the bridge arm and the middle point voltage of the bridge arm are proposed, which improves the diagnosis speed, the diagnostic accuracy and the suitability. It is used for various loads. Fault diagnosis based on voltage quantity can quickly diagnose faults, but it needs additional sensors and hardware circuits, but the application background of multi energy energy storage system, the speed of fault diagnosis and the speediness of redundant handoff are the most important factors. So this paper analyzes the three-phase inverter power in detail. A voltage analytic model for a three-phase inverter circuit suitable for fault diagnosis is proposed in the case of open circuit fault of each switch tube. Based on the voltage analytic model, two voltage type fault diagnosis methods are proposed, that is, the fault diagnosis method based on the middle point voltage of the bridge arm and the middle point voltage based on the bridge arm. Fault diagnosis method. The two methods of fault diagnosis have strong anti-interference and robustness. The diagnosis method based on the middle point voltage of the bridge arm is less than the fault diagnosis method based on the midpoint voltage of the bridge arm, and the maximum diagnosis time is 1/2 basic wave period. So the fault diagnosis method based on the middle point voltage of the bridge arm is the fault diagnosis method A relatively superior fault diagnosis method. (2) a fault diagnosis method based on the flexible reference voltage is proposed. Considering the cost of the energy storage system, the current based fault diagnosis method is superior to the voltage based fault diagnosis method. This paper uses the voltage sampling amount of the closed loop control system as a fault. The fault diagnosis method of three-phase inverter based on flexible reference voltage is proposed based on the residual error theory, which is conveniently embedded in the existing closed loop control algorithm in the form of subroutine. By statistical method, the decision function and decision rules of the residual evaluation are given, and the fault diagnosis speed and the diagnostic accuracy are two. In order to ensure the accuracy of fault diagnosis, the speed of fault diagnosis is improved on the premise of ensuring the accuracy of fault diagnosis. (3) the basic structure of multi energy energy storage system and the requirement of fault diagnosis for multi power module parallel system are studied, and the idea of ant colony algorithm is first applied to the fault diagnosis field of multi energy energy storage system for the first time. The fault diagnosis method of multi power module parallel system based on ant colony algorithm is proposed. There are several power modules parallel in the multi energy energy storage system, including DC DC converter multi power module parallel system and DC AC transform multi power module parallel system. System fault diagnosis technology is relative to circuit level fault. The diagnosis technology does not need accurate model of the diagnosis object, and can diagnose the fault quickly and effectively without increasing the extra cost of the diagnosis object. A simple and effective structure model of the ring comparison graph is proposed for the multi power module parallel system. Then the idea of ant colony algorithm is extended to the ring. On the basis of the ant colony algorithm, a fault diagnosis method for multi power module parallel system is proposed, and the system level fault diagnosis is realized. (4) a kind of milli grade magnetic powder core work in a class of high-power applications is studied. The inductor model is established and the inductor failure standard is put forward. The on-line identification of the inductance parameters is realized by the least square method. The fault prediction of the multi energy energy storage system is realized. The actual inductance can be equivalent to the series of the ideal inductor and the equivalent series resistance, and the inductance value of the selective inductance equivalent circuit model is used as the inductance. The characteristic parameters of the fault are as small as 20% of the inductance value as the criterion for determining the failure of the inductor. Then, on the basis of the establishment of a three-phase inverter circuit model of the multi energy energy storage system, an identification method which can be used for the parameter fault diagnosis is discussed. At the same time, the inductance parameters in the three-phase inverter circuit vary with the load current bias. An improved parameter identification algorithm suitable for variable inductance is proposed to realize on-line identification of inductance parameters.

【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2016
【分類號(hào)】：TM464

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本文編號(hào)：1887220