大型风电机组功率优化控制研究
发布时间：2018-09-03 18:56
【摘要】：世界能源短缺越来越严重,加快开发可再生能源已是世界解决能源短缺和环境污染问题的必经之路,因此风力发电受到更广泛的关注和使用,对于风电技术的发展及风能利用率的研究,更多的学者展开了大量的相关研究。本文研究的主要目的是在额定风速下实现对大型风电机组的功率优化控制,通过对其模型的建立,改进爬山算法的实现及简化模糊PID控制器的制定来实现额定风速下最大风能捕获以及对风电机组的功率优化控制。主要包括以下几方面内容。首先,建立风电机组各个部分模型,包括风速模型、风轮气动模型、传动链模型、发电机模型等环节,最终组建成整体的风电机组模型。基于该模型,选取合适的最大风能追踪算法实现对风电机组的最大功率追踪。当通过爬山算法获取风电机组最优功率和转速时,为了避免在出现大的干扰时影响风电机组正常工作,采用相应的模糊控制器对风电机组的转速进行控制跟踪,进一步优化功率。其次,由于风电机组非线性的特性,考虑到模糊控制器无需精确的数学模型及其输入输出规则繁琐的特点和PID控制有更好的鲁棒性和稳定性,采用一种简化模糊PID控制器,实现对风电机组转速的间接控制,最终实现在额定风速以下对风电机组的功率优化控制。最后,利用MATLAB/Simulink对风电机组的动态模型、所给出的控制算法及控制器进行研究,并进行仿真验证。从仿真结果可以看出,采用改进爬山算法和简化模糊PID控制对变速风电机组系统可快速准确地实现额定风速下最大风能追踪,同时保证风电机组能够稳定运行,实现功率优化。
[Abstract]:The energy shortage in the world is becoming more and more serious, and accelerating the development of renewable energy is the only way to solve the problem of energy shortage and environmental pollution in the world. Therefore, wind power generation has received more extensive attention and use. For the development of wind power technology and wind energy utilization, more scholars have carried out a lot of related research. The main purpose of this paper is to realize the power optimization control of large wind turbine under rated wind speed. The implementation of improved mountain climbing algorithm and simplified fuzzy PID controller are used to realize maximum wind energy capture and power optimization control of wind turbine at rated wind speed. Mainly include the following aspects of content. Firstly, every part of wind turbine model, including wind speed model, wind turbine aerodynamic model, transmission chain model, generator model and so on, is established. Based on this model, a suitable maximum wind energy tracking algorithm is selected to realize the maximum power tracking of wind turbines. When the optimal power and rotational speed of wind turbine are obtained by mountain climbing algorithm, in order to avoid affecting the normal operation of wind turbine unit in case of large disturbance, the corresponding fuzzy controller is used to control and track the speed of wind turbine unit. Further optimize power. Secondly, because of the nonlinear characteristics of wind turbine, considering the fact that fuzzy controller does not need accurate mathematical model and its input and output rules are tedious and that PID control has better robustness and stability, a simplified fuzzy PID controller is adopted. The indirect control of wind turbine speed and the optimal control of wind turbine power under rated wind speed are realized. Finally, the dynamic model of wind turbine is studied by MATLAB/Simulink, and the control algorithm and controller are studied and verified by simulation. From the simulation results, it can be seen that the improved mountain climbing algorithm and simplified fuzzy PID control can quickly and accurately track the maximum wind energy at rated wind speed for the variable speed wind turbine system, and at the same time ensure that the wind turbine can run stably and realize power optimization.
【学位授予单位】：沈阳工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM315
本文编号：2220874
[Abstract]:The energy shortage in the world is becoming more and more serious, and accelerating the development of renewable energy is the only way to solve the problem of energy shortage and environmental pollution in the world. Therefore, wind power generation has received more extensive attention and use. For the development of wind power technology and wind energy utilization, more scholars have carried out a lot of related research. The main purpose of this paper is to realize the power optimization control of large wind turbine under rated wind speed. The implementation of improved mountain climbing algorithm and simplified fuzzy PID controller are used to realize maximum wind energy capture and power optimization control of wind turbine at rated wind speed. Mainly include the following aspects of content. Firstly, every part of wind turbine model, including wind speed model, wind turbine aerodynamic model, transmission chain model, generator model and so on, is established. Based on this model, a suitable maximum wind energy tracking algorithm is selected to realize the maximum power tracking of wind turbines. When the optimal power and rotational speed of wind turbine are obtained by mountain climbing algorithm, in order to avoid affecting the normal operation of wind turbine unit in case of large disturbance, the corresponding fuzzy controller is used to control and track the speed of wind turbine unit. Further optimize power. Secondly, because of the nonlinear characteristics of wind turbine, considering the fact that fuzzy controller does not need accurate mathematical model and its input and output rules are tedious and that PID control has better robustness and stability, a simplified fuzzy PID controller is adopted. The indirect control of wind turbine speed and the optimal control of wind turbine power under rated wind speed are realized. Finally, the dynamic model of wind turbine is studied by MATLAB/Simulink, and the control algorithm and controller are studied and verified by simulation. From the simulation results, it can be seen that the improved mountain climbing algorithm and simplified fuzzy PID control can quickly and accurately track the maximum wind energy at rated wind speed for the variable speed wind turbine system, and at the same time ensure that the wind turbine can run stably and realize power optimization.
【学位授予单位】：沈阳工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM315
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