基于SVC优化控制参数的DFIG风电场电力系统动态稳定性改进

2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia Pub Date : 2012-06-06 DOI:10.1109/PEOCO.2012.6230900

M. Mohammadi, M. Gitizadeh, A. Roosta

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引用次数: 10

摘要

随着风电在电力系统中的渗透程度越来越大，研究风电对电力系统动态稳定性的影响迫在眉睫。双馈感应发电机(DFIG)在大型风电场中得到了广泛的应用。因此，有必要对DFIG风力机的动力特性进行研究。本文研究了静态无功补偿器(SVC)对并联DFIG电力系统动态稳定性的影响。为了提高SVC的动态稳定性，需要对SVC的控制参数进行优化设置。在本文中，我们给出了一个合适的目标函数选择，然后用遗传算法进行优化。动态仿真结果为我们提供了SVC对DFIG和同步发电机动态性能的影响等信息。采用MATLAB进行动态仿真。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Dynamic stability improvement of a power system incorporating DFIG wind power plant using optimized control parameters of a SVC

Since the penetration of wind power in power system is increasing greatly it is urgent to study the impact of wind power on the dynamic stability of power system. Doubly fed induction generator (DFIG) is widely utilized in large wind power plants. Therefore the dynamic behaviors of DFIG wind turbines is necessary to be studied. This paper presents the impact of static VAr compensator (SVC) on the dynamic stability of power system connected to DFIG. In order to improve the dynamic stability, control parameters of SVC need to be set optimally. In this article, we offer a suitable choice of objective function and then be optimized by genetic algorithm. The dynamic simulation results give us information such as the impact of SVC on the performance of DFIG and synchronous generators dynamic performance. MATLAB is used for executing the dynamic simulation.

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2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia

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