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基于小波算法的瞬態(tài)功率平抑方法研究

發(fā)布時間:2018-11-18 21:36
【摘要】:為減少化石燃料使用帶來的環(huán)境污染和能源枯竭問題,電能在汽車、飛機、艦船等獨立電源系統(tǒng)中占有越來越大的比例。由不同的儲能元件配合雙向直流變換器組成的多類型儲能系統(tǒng)(Hybrid Energy Storage System,HESS)通常作為上述動力總成中的一種能源架構(gòu)形式。為了讓各儲能元件協(xié)調(diào)工作,提高系統(tǒng)效率,需要對儲能系統(tǒng)進行能量管理。由于上述應用場合負載均存在短時脈沖性質(zhì),因此,該類場合儲能系統(tǒng)的能量管理對實時性的要求較高。本文針對該場合的多類型儲能系統(tǒng)的容量配置和協(xié)調(diào)控制展開了研究。主要研究內(nèi)容如下:1.研究了離線小波變換和實時小波變換的原理和實現(xiàn)方式。分析了小波基函數(shù)、分解層數(shù)、邊界處理方式、窗口寬度等參數(shù)對變換結(jié)果的影響。針對該應用場合對實時性的要求,分析了小波分解延時現(xiàn)象的本質(zhì)原因并提出了改進的方式。2.采用小波變換對超級電容和蓄電池組成的多類型儲能系統(tǒng)進行容量配置的研究。以重量最輕為目標,結(jié)合算例,改變小波變換中的關(guān)鍵參數(shù),對比分析多組不同參數(shù)選擇下的配置結(jié)果。3.采用實時小波變換對檢測到的瞬態(tài)功率信息進行實時分解和分配,實現(xiàn)超級電容和蓄電池之間的協(xié)調(diào)控制。將采用實時小波變換的上層功率分解和底層功率分配有機結(jié)合,提出了基于負載功率的協(xié)調(diào)控制策略和基于母線電壓的協(xié)調(diào)控制策略,并對兩種方式進行了對比。在此基礎(chǔ)上,提出了基于超級電容荷電狀態(tài)(State-of-Charge,SOC)的反饋控制策略,以保證儲能元件正常工作。4.搭建matlab仿真模型,驗證所提算法的可行性。對各子系統(tǒng)進行主要參數(shù)的設(shè)計并搭建各子系統(tǒng)的仿真模型,主要為儲能元件前端的buck/boost雙向直流變換器、采用高頻開關(guān)控制的脈沖型電阻負載、采用鋰電池和雙向buck/boost變換器實現(xiàn)的能饋型負載。在此基礎(chǔ)上結(jié)合算例,分別采用兩種協(xié)調(diào)控制策略對整體功能進行了驗證。最后,驗證了超級電容SOC反饋控制策略的有效性。
[Abstract]:In order to reduce environmental pollution and energy depletion caused by fossil fuel use, electric energy occupies an increasing proportion in independent power systems such as automobiles, aircraft, ships and so on. The multi-type energy storage system (Hybrid Energy Storage System,HESS) composed of different energy storage elements and bidirectional DC / DC converters is usually used as an energy architecture in the above power assembly. In order to make the energy storage components work harmoniously and improve the system efficiency, the energy management of the energy storage system is needed. Because of the short time pulse nature of the load in the above applications, the energy management of the energy storage system in this kind of occasions requires high real-time performance. In this paper, the capacity configuration and coordinated control of multi-type energy storage systems in this field are studied. The main contents are as follows: 1. The principle and implementation of off-line wavelet transform and real-time wavelet transform are studied. The effects of wavelet basis function, decomposition layer number, boundary processing method and window width on the transformation results are analyzed. According to the requirement of real time in this application, the essential reason of wavelet decomposition delay phenomenon is analyzed and the improved method is put forward. 2. The capacity configuration of multi-type energy storage system composed of super capacitor and battery is studied by wavelet transform. Taking the least weight as the target and combining with an example, the key parameters of wavelet transform are changed, and the configuration results under different parameter selection are compared and analyzed. 3. The real-time wavelet transform is used to decompose and distribute the detected transient power information in real time to realize the coordination control between super capacitor and battery. Combining the upper power decomposition of real time wavelet transform with the power allocation of the bottom layer, a coordinated control strategy based on load power and a coordinated control strategy based on bus voltage are proposed, and the two methods are compared. On this basis, a feedback control strategy based on supercapacitor charge state (State-of-Charge,SOC) is proposed to ensure the normal operation of energy storage elements. Matlab simulation model is built to verify the feasibility of the proposed algorithm. The main parameters of each subsystem are designed and the simulation models of each subsystem are built, which are mainly buck/boost bidirectional DC / DC converter with high frequency switch control. The energy-fed load is realized by using lithium battery and two-way buck/boost converter. On the basis of this, two kinds of coordinated control strategies are used to verify the whole function. Finally, the effectiveness of the feedback control strategy for ultracapacitor SOC is verified.
【學位授予單位】:南京航空航天大學
【學位級別】:碩士
【學位授予年份】:2016
【分類號】:TK02

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