本文選題：光伏并網(wǎng) + 逆變器　； 參考：《南京理工大學》2017年碩士論文

【摘要】：LCL型三相并網(wǎng)逆變器現(xiàn)有控制策略中PI控制器、PR控制器應(yīng)用最為廣泛,但其參數(shù)設(shè)計均是基于標況下,且依賴于系統(tǒng)建模的精確度,參數(shù)設(shè)計較為復雜。針對這一現(xiàn)狀,本文針對不同電網(wǎng)狀況下的并網(wǎng)逆變器控制策略展開研究。本文首先搭建了 500kW光伏并網(wǎng)模型,包括光伏陣列、DC/DC變換器、DC/AC逆變器三個部分。其中DC/DC部分選擇BOOST電路來實現(xiàn)光伏陣列的MPPT控制,逆變器控制策略選用傳統(tǒng)電壓外環(huán)電流內(nèi)環(huán)的雙環(huán)控制策略。然后,本文提出一種基于RBF網(wǎng)絡(luò)的自適應(yīng)控制策略,并給出電流內(nèi)環(huán)相關(guān)參數(shù)的設(shè)計方法。同時,為解決LCL濾波器產(chǎn)生的諧振問題,采用電容電流反饋有源阻尼控制,給出一種基于系統(tǒng)幅相特性的電容電流反饋有源阻尼系數(shù)設(shè)計方法。通過改變相關(guān)參數(shù),對光伏并網(wǎng)系統(tǒng)進行仿真測試,證明所提控制策略的可行性和正確性。其次,考慮到電網(wǎng)實際存在的不平衡因素,在所提自適應(yīng)控制策略中,分別對正負序分量的提取、正負序電流指令的計算、電流指令跟蹤控制進行改進,使光伏系統(tǒng)注入電網(wǎng)的并網(wǎng)電流不出現(xiàn)畸變、諧波含量過大等現(xiàn)象,保證并網(wǎng)點電能質(zhì)量良好。并通過仿真測試,驗證了在電網(wǎng)電壓不平衡下,所提控制策略具有有效性。最后,對5MW光伏電站接入配電網(wǎng)模型進行案例分析,分別對理想電網(wǎng)、電網(wǎng)電壓不平衡兩種情況下的光伏電站并網(wǎng)電流、并網(wǎng)點相關(guān)電能質(zhì)量進行測試、分析。此案例證明了本文提出的基于RBF網(wǎng)絡(luò)的自適應(yīng)控制策略的可行性,可以提高并網(wǎng)點電能質(zhì)量,為光伏電站并網(wǎng)運行提供理論依據(jù)。
[Abstract]:Pi controller / PR controller is the most widely used control strategy in LCL three-phase grid-connected inverter, but its parameter design is based on the standard condition and depends on the precision of system modeling, so the parameter design is more complex. In view of this situation, the control strategy of grid-connected inverter under different grid conditions is studied in this paper. In this paper, a 500kW photovoltaic grid-connected model is first built, which consists of three parts: photovoltaic array DC / DC converter and DC / AC inverter. The DC / DC part chooses boost circuit to realize the MPPT control of photovoltaic array, and the inverter control strategy adopts the traditional double loop control strategy of the voltage outer loop current inner loop. Then, an adaptive control strategy based on RBF network is proposed, and the design method of the relative parameters of current inner loop is given. At the same time, in order to solve the resonance problem of LCL filter, a design method of capacitive current feedback active damping coefficient based on the amplitude and phase characteristics of the system is presented by using capacitive current feedback active damping control. The feasibility and correctness of the proposed control strategy are proved by changing the relevant parameters and simulating the photovoltaic grid-connected system. Secondly, considering the unbalanced factors in the power network, in the proposed adaptive control strategy, the extraction of the positive and negative sequence components, the calculation of the positive and negative sequence current instructions, and the tracking control of the current instructions are improved, respectively. The grid-connected current injected into the grid of photovoltaic system is not distorted, the harmonic content is too large, and the power quality of the grid is good. The simulation results show that the proposed control strategy is effective when the voltage is unbalanced. Finally, a case study of 5MW photovoltaic power station connected to distribution network model is carried out. The grid-connected current of photovoltaic power station under the condition of ideal grid and unbalanced grid voltage is tested and analyzed. This case proves the feasibility of the adaptive control strategy based on RBF neural network, which can improve the power quality and provide a theoretical basis for the grid-connected operation of photovoltaic power plants.
【學位授予單位】：南京理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TM464;TM615

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