风力发电场自启动及运行控制技术研究

发布时间：2018-01-21 00:45

本文关键词： 双馈异步风机自启动反馈线性控制电能质量控制 STATCOM/BESS 模糊自适应控制　出处：《东南大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着双馈异步风电机组(DFIG)的大规模应用,针对DFIG的控制研究也成为风力发电的研究热点。在电网发生故障导致风电机组脱网时,传统的风机控制需要并网启动,这进一步加重了电网运行的负担。随着电力电子技术的发展,可以由风电场实现自启动并为重要负荷供电,进一步实现并网发电,增强电网运行的健壮性。因此,有必要开展在脱网条件下风电场的自启动与运行控制方法的研究。本文主要研究工作如下:(1)研究了 DFIG的自启动模型以及其电压、频率的响应特性。通过详细研究DFIG的运行原理与结构,选取并推导了适合其自启动研究所需要的动态模型。同时详细研究了 DFIG的电压以及频率响应特性,研究表明DFIG可以参与到风电场自启动的电压、频率控制过程中。(2)提出了基于储能系统的DFIG自启动控制方法。以脱网运行下的DFIG动态模型为研究对象,进一步设计了采用反馈线性控制算法的风电机组自启动控制模型。提出了一种DFIG自启动控制方法,其将自启动控制过程分为:自激启动、电压调节、频率调整三个阶段,各阶段对变流器采用不同的控制模型和开关规则,并通过时域仿真验证了控制方法的有效性和稳定性。(3)提出了基于STATCOM/BESS的风电场启动与运行控制方法。详细研究了STATCOM/BESS的数学模型,并给出了功率解耦控制方法;提出了在STATCOM/BESS的支撑下具备自启动能力的DFIG风电机群与常规DFIG风电机群的面向接入点控制方法。该方法主要针对DFIG风电场运行的不同工况,一共分为自启动控制、电能质量控制与协调启动控制三个阶段。通过时域仿真验证了该方法可以实现整个风电场的稳定启动与运行控制。(4)提出了基于模糊自适应算法的风电场启动与运行控制方法。考虑到在风电场的整体运行控制中,不同阶段对于有功和无功设备的需求不同,控制器单一的整定参数无法满足总体最优的需求,因此在面向接入点控制的基础上提出了 STATCOM/BESS与DFIG的协调控制方法。该协调控制方法以模糊自适应控制算法为基础,通过检测系统中电压与频率的偏差量,不断优化整定STATCOM/BESS与DFIG的频率、电压控制器的整定值。与面向接入点控制方法相比较,通过时域仿真验证了模糊自适应协调控制方法的优越性和稳定性。
[Abstract]:With the large-scale application of doubly-fed asynchronous wind turbine (DFG), the research on DFIG control has become the research hotspot of wind power generation. Traditional fan control needs to be connected to the grid, which further increases the burden of power grid operation. With the development of power electronics technology, wind farms can start themselves and supply power to important loads. Further realize grid-connected power generation, enhance the robustness of the grid operation. It is necessary to study the self-start and operation control method of wind farm under off-grid condition. The main research work in this paper is as follows: 1) the self-start model and its voltage of DFIG are studied. The principle and structure of DFIG are studied in detail. Select and deduce the dynamic model which is suitable for the self-start research. At the same time, the voltage and frequency response characteristics of DFIG are studied in detail. The research shows that DFIG can participate in the self-start voltage of wind farm. In the process of frequency control, a method of DFIG self-start control based on energy storage system is proposed. The dynamic model of DFIG under de-netting operation is taken as the research object. Furthermore, the self-start control model of wind turbine with feedback linear control algorithm is designed, and a DFIG self-start control method is proposed, which divides the self-start control process into self-excited startup and voltage regulation. Different control models and switching rules are used in each phase of frequency adjustment. The effectiveness and stability of the control method are verified by time-domain simulation. The method of wind farm start-up and operation control based on STATCOM/BESS is proposed, and the mathematical model of STATCOM/BESS is studied in detail. The power decoupling control method is also presented. This paper presents an access point oriented control method for DFIG wind power cluster and conventional DFIG wind turbine cluster supported by STATCOM/BESS. The method is mainly aimed at DFIG wind. Different operating conditions of electric field. It is divided into self-start control. Power quality control and coordinated startup control are three stages. The simulation in time domain proves that this method can realize the stable start-up and operation control of the whole wind farm. A method of wind farm start-up and operation control based on fuzzy adaptive algorithm is proposed, which is considered in the overall operation control of wind farm. At different stages, the demand for active and reactive power equipment is different, and the single tuning parameter of controller can not meet the overall optimal demand. Therefore, a coordinated control method for STATCOM/BESS and DFIG is proposed based on the fuzzy adaptive control algorithm. By detecting the deviation between voltage and frequency, the frequency of STATCOM/BESS and DFIG and the tuning value of voltage controller are optimized and compared with access point oriented control method. The superiority and stability of fuzzy adaptive coordinated control are verified by time domain simulation.
【学位授予单位】：东南大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM614

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