多電平二級(jí)管鉗位型逆變器電容電壓平衡SVM算法及其應(yīng)用研究
[Abstract]:In the field of research and application of high-power power electronic devices, multilevel converters have become a representative solution because of their outstanding advantages of better output voltage waveform and higher voltage level than two level converters. However, there is no perfect multilevel converter topology at present. The existing topology has some limitations in practical application. The diode clamped inverter does not need multiple independent DC power supply, and does not need heavy capacitance and precharging system. It also has the advantages of easy switching control and simple protection circuit. The application of this topology is hindering its DC side. The voltage offset of the voltage divider will occur during the operation of the inverter so that the performance of the inverter can not even work normally. The work of this paper is devoted to the study of the problem of DC capacitance voltage offset from the simplest hardware structure and the most systematic cost saving of the modulation scheme.
The paper analyzes the principle and steps of the traditional SVM algorithm in the multilevel diode clamped inverter, and points out that the traditional SVM algorithm needs to perform a large number of trigonometric functions or look-up operations, so the operation efficiency is low. By introducing a classification algorithm based on Kohonen competitive neural network, an improved multilevel two is proposed. SVM algorithm of pole position inverter. The improved algorithm does not need to train the neural network. It does not need any trigonometric function calculation or look-up operation in the whole implementation process, but only requires four simple operations. The saving time can be used to complete other time-consuming tasks such as the realization of capacitor voltage mean voltage and so on. Three The level and five level diode clamped inverter is simulated in time domain. The results verify the correctness of the mathematical analysis and the feasibility of the proposed algorithm. At the same time, it shows that the improved algorithm is a common algorithm for multilevel diode clamped inverters. It does not require any modification when the inverter is used for different level number inverters.
In order to use the modulation algorithm to eliminate the offset of the DC capacitance voltage of the multilevel diode clamped inverter, the paper theoretically analyzes the cause of this phenomenon. First, the modulation vector characteristics of the three level diode clamped inverter are studied, and the four kinds of modulation vector pairs are analyzed by specific illustrations. The effect of point potential is made clear that three level diode clamp inverters can use small vector to adjust the voltage of capacitance. Secondly, five level diode clamp inverter is used as an example to analyze the capacitance voltage offset of multilevel inverters when the number of level exceeds 3. The analysis shows that this type of extension can not use small vector in the range of total modulation ratio. The capacitor voltage is controlled. The DC capacitor voltage can be balanced because the average current of the capacitor current of the DC side of the inverter is zero. Therefore, the function relationship between the average value of the capacitance current of the DC side of the five level diode clamped inverter under the SPWM modulation algorithm and the modulation ratio and the power factor of the AC side is deduced. In the case of the auxiliary circuit, the traditional SPWM technology can not maintain the DC capacitor voltage balance, but the SVM method may make use of the state of redundant switch to realize the DC side capacitor voltage without setting the auxiliary hardware. Based on the analysis of the essential reason of the capacitance voltage offset, it shows that no matter which PWM algorithm is used to maintain more, the capacitor voltage is maintained. The capacitor voltage of the level diode clamp inverter has a stable operating range limited by the modulation ratio and the AC side power factor, so the capacitor voltage balance SVM algorithm is mainly suitable for the occasion of the reactive power switching of the diode clamper inverter.
According to the minimum energy characteristic of the multilevel diode clamper inverter, the energy function of the five level inverter is established. The method of capacitive voltage sharing is realized by selecting the appropriate redundant switch state through the energy function. In order to calculate the energy function value in different switching states, the average current average of the middle branch of the inverter is derived. The relationship between the value and the switching state of each sector is obtained, and a comprehensive current mathematical model of the five level diode clamp inverter is obtained. On this basis, a general current model of the multilevel diode clamped inverter is established, and the SVM algorithm for the general capacitance voltage balance of any level is obtained. The simulation study shows that the energy function is based on the energy function. The capacitor voltage balancing algorithm can make the deviated capacitor voltage regress to the standard value under symmetrical conditions such as symmetrical load, asymmetrical load and distorted load.
The calculation of the balance algorithm based on the energy function is very large and does not consider the optimization of the switching frequency. Therefore, the switching frequency of the inverter is unavoidable. In this paper, a new SVM algorithm based on active current is proposed in this paper. The new algorithm uses active current to judge the communication of diode clamped inverter. The direction of the energy transmission in the side, by analyzing the influence of the energy transmission direction and the different switch sequence on the capacitance voltage, from a set of predefined switch sequences, the switching sequence which makes the capacitor voltage that deviates the most standard value is as much as possible to the standard value is selected. The modulation results can be obtained by several comparison operations, which greatly reduces the amount of operation and improves the modulation speed. At the same time, the algorithm optimizes the working frequency of the switch device, making the switching frequency of the device in a switching period least, reducing the switching frequency and reducing the switching loss effectively. A large number of simulation studies under different working conditions have proved that The effectiveness of active current algorithm and its performance advantages are also discussed.
In order to further investigate the application effect of the capacitor voltage balance algorithm, a STATCOM system based on five level diode clamped inverter is studied. The DC side capacitance of the STATCOM has no auxiliary balance circuit. It is completely dependent on the space vector modulation algorithm to control the electrical voltage of the capacitor. The mathematical model of the STATCOM is established, and the model is established in this model. On the basis of the model, the STATCOM AC side current controller, the DC voltage controller and the common connection point voltage controller are separately designed. The integrated STATCOM control system is formed by combining the controller with the capacitor voltage balance algorithm. The performance of the STATCOM system is simulated. The results show that the STATCOM controller can be effective. The reactive power, DC end voltage and common connection point voltage of the STATCOM output are controlled. The performance of the capacitive current balancing algorithm based on the energy function and the active current is simulated and compared. The results show that the two algorithms are effective for the DC capacitor voltage of the five flat diode clamped inverter under steady and dynamic conditions. It is maintained at the standard value, but the algorithm based on active current in this paper has better dynamic performance.
【學(xué)位授予單位】:湖南大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2014
【分類(lèi)號(hào)】:TM464
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