本文選題：靜止無功發(fā)生器（SVG）　切入點(diǎn)：無功補(bǔ)償　出處：《遼寧工業(yè)大學(xué)》2014年碩士論文

【摘要】：隨著全球經(jīng)濟(jì)的發(fā)展，沖擊性無功負(fù)荷對電網(wǎng)的影響愈加嚴(yán)重。傳統(tǒng)的無功補(bǔ)償裝置，由于不能快速動態(tài)補(bǔ)償和補(bǔ)償范圍小的原因無法滿足用戶需要。靜止無功發(fā)生器（SVG）作為一種新型靜止無功補(bǔ)償裝置，克服了上述不足，顯現(xiàn)出了巨大的優(yōu)越性。該項技術(shù)已成為國內(nèi)外爭相研究的重要課題之一。所以，本論文對SVG的關(guān)鍵技術(shù)進(jìn)行了研究。 本論文首先介紹了SVG的發(fā)展歷史、最新發(fā)展方向；分析了考慮損耗和不考慮損耗兩種情況的等效電路和工作原理；引入了基于三相瞬時無功功率理論（基于旋轉(zhuǎn)矢量積、基于0坐標(biāo)變換、基于dq0坐標(biāo)變換）的數(shù)學(xué)模型。在比較了電流間接控制、電流直接控制兩類SVG控制策略優(yōu)劣的基礎(chǔ)上，選擇了基于dq0坐標(biāo)變換的直接電流控制方法。其次，分析比較了各種無功電流檢測方法的局限性和適用性；重點(diǎn)介紹了基于神經(jīng)網(wǎng)絡(luò)的無功電流檢測方法，并研究了其在本論文中的實(shí)現(xiàn)原理。然后，對SVG系統(tǒng)總體結(jié)構(gòu)和總體流程進(jìn)行了研究。并重點(diǎn)設(shè)計了主要硬件電路（主電路部分、主控制器部分、信號調(diào)理電路部分）和主要軟件模塊（過零檢測模塊、PI控制模塊）。最后，在MATLAB環(huán)境下對用于無功檢測的神經(jīng)網(wǎng)絡(luò)進(jìn)行了訓(xùn)練，得到了訓(xùn)練過程圖、訓(xùn)練狀態(tài)圖、訓(xùn)練誤差曲線和仿真擬合曲線；在Simulink仿真環(huán)境下搭建了SVG的系統(tǒng)模型，對感性補(bǔ)償、容性補(bǔ)償兩種情況進(jìn)行了仿真分析。
[Abstract]:With the development of global economy, the impact of reactive power load on power grid is becoming more and more serious.The traditional reactive power compensation device can not meet the needs of users because it can not compensate quickly and dynamically and has a small compensation range.Static Var Generator (SVG), as a new static Var compensator, overcomes these disadvantages and shows great superiority.This technology has become one of the most important research topics at home and abroad.Therefore, this paper studies the key technologies of SVG.This paper first introduces the development history and the latest development direction of SVG, analyzes the equivalent circuit and working principle of considering loss and not considering loss, and introduces the theory of three-phase instantaneous reactive power (based on rotating vector product).The mathematical model based on 0 coordinate transformation and dq0 coordinate transformation.On the basis of comparing the advantages and disadvantages of two kinds of SVG control strategies, indirect current control and direct current control, the direct current control method based on dq0 coordinate transformation is selected.Secondly, the limitations and applicability of various reactive current detection methods are analyzed and compared, and the reactive current detection method based on neural network is mainly introduced, and its realization principle in this paper is studied.Then, the overall structure and flow of SVG system are studied.The main hardware circuit (the main circuit part, the main controller part, the signal conditioning circuit part) and the main software module (the zero-crossing detection module and Pi control module) are designed.Finally, the neural network for reactive power detection is trained in MATLAB environment, and the training process diagram, training state diagram, training error curve and simulation fitting curve are obtained, and the system model of SVG is built in the Simulink simulation environment.The inductive compensation and capacitive compensation are simulated and analyzed.
【學(xué)位授予單位】：遼寧工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM761.12

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