风电占比高的交流微电网频率稳定性增强研究

M. Y. Yousef, Magdi A. Mosa, Ahmed A. Ali, Said M. El Masry, A. M. Abdel ghany
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引用次数: 0

摘要

由于微电网的技术、经济和环境效益,其应用已成为有前途的解决方案。风能发电对微电网内可再生能源的应用有重要贡献。然而,与传统发电系统相比,由于存在用于集成和最大功率点(MPP)运行的电网接口变流器(GIC),风力发电机和微电网之间的解耦减少了微电网的惯性。当微电网经历负荷或发电扰动时,这种惯性减小会对频率稳定性、最低点和频率变化率(ROCOF)产生不利影响。通过发电机卸载技术和/或使用储能系统(ess)在系统中引入合成惯性已经做了很多努力。上述技术在财务上存在缺陷。利用风力发电系统的自然惯性来增强微电网的惯性还需要额外的努力。本文利用风力发电系统固有的惯性特性、GIC的快速控制能力以及先进的控制技术,在风力发电系统工作在离MPP很近的位置时,将惯性响应引入微电网。此外,应用的控制技术采用频率信号代替频率导数,避免了系统稳定性的恶化,避免了噪声放大。控制器经过调整以模拟传统发电的惯性性能。推导了控制目标所需的数学推导,并在MATLAB平台上进行了仿真验证。该技术应用于由风力发电系统、热力发电机组和电力负荷组成的微电网。采用该控制方法的微电网的响应与在相同扰动下运行的其他两个微电网的性能相吻合。
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Frequency stability enhancement of AC microgrid with high share of wind energy
Due to technical, economic, and environmental benefits of microgrids, its applications have been become promising solutions. Electricity generation from wind energy has significant contribution in renewable energy applications inside microgrids. However, decupling between wind generator and microgrid, due to presence of grid interface converters (GIC) for integration and maximum power point (MPP) operation, reduces the microgrid inertia compared to traditional generation system. This inertia reduction has adverse effect on the frequency stability, nadir, and rate of change of frequency (ROCOF), when the microgrid is experienced to load or generation disturbances. A lot of efforts have been made through generators deloading techniques and/or using of energy storage systems (ESSs) to introduce synthetic inertia in the system. The aforementioned techniques have financial drawbacks. Utilizing the natural inertia of wind generation system to enhance the microgrid inertia still requires additional efforts. In this article, the inherent inertia of the wind generation system, the fast control capability of GIC, and advancement in control technique are employed to introduce inertia response into the microgrid, while the wind generation system works very near to the MPP. In addition, the applied control technique uses the frequency signal instead of the frequency derivative, which avoids deterioration of the system stability and averts noise amplifications. The controller is tuned to mimic the inertia performance of traditional generation. The mathematical derivation which necessary for the control objective is deduced and verified by simulation using MATLAB platform. The technique is applied on microgrid comprises of wind generation system, thermal generation unit and electrical load. The response of the microgrid with suggested control is justified with the performance of two other microgrids operate under the same disturbance.
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