An Optimal Fast Frequency Control Method for Variable Speed Wind Turbines Based on Doubly Fed Induction Generators Through Simultaneous Control of Frequency and Maximum Torque

IF 4.3 3区 工程技术 Q2 ENERGY & FUELS International Journal of Energy Research Pub Date : 2025-02-04 DOI:10.1155/er/3354538
Seyed Abdul Rahman Ahmadnejad, Ramtin Sadeghi, Bahador Fani
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Abstract

The need to mitigate environmental pollution and conserve the environment has led to the rapid expansion of renewable energy sources (RESs) and wind farms (WFs) in power systems. Thus, the involvement of WFs in frequency control and raising the frequency nadir (FN) under transient conditions of the system will be highly significant and indispensable. This research presents a proposal to enhance the system frequency by utilizing WFs and restoring the speed of the wind turbine (WT) rotor using the doubly fed induction generator (DFIG) while avoiding frequency second dip (FSD). In this design, once the disturbance and decrease in the system frequency are identified, the new power reference is incorporated into the maximum power point tracking (MPPT) characteristic as a function of two parameters, the changes in system frequency and the speed of the WT rotor, taking into account the torque limit. During frequency support, the frequency change parameter increases, while the rotor speed parameter decreases. This results in a smaller decline rate of the reference power, so that the electrical power goes below the mechanical power with a smooth gradient, not a step-wise manner. As a result, the rotor speed is restored fast without FSD. Another benefit is that the MPPT characteristic qualities are maintained during the frequency support, as the new reference value is incorporated into the MPPT characteristic. The MATLAB simulation results of the test system demonstrate that the proposed design successfully enhances the system’s frequency without inducing a FSD. Additionally, it effectively and rapidly restores the rotor speed.

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基于双馈感应发电机的变速风力发电机组频率与最大转矩同步优化快速变频控制方法
减轻环境污染和保护环境的需要导致了可再生能源(RESs)和风力发电场(WFs)在电力系统中的迅速扩张。因此,WFs参与频率控制和提高系统暂态条件下的频率最低点(FN)将是非常重要和必不可少的。本文提出了一种利用风力发电机(WFs)提高系统频率,利用双馈感应发电机(DFIG)恢复风力发电机(WT)转子转速,同时避免频率二次倾斜(FSD)的方案。在本设计中,一旦识别出扰动和系统频率的下降,在考虑转矩限制的情况下,将新的功率基准作为系统频率变化和WT转子转速两个参数的函数纳入最大功率点跟踪(MPPT)特性。在频率支持期间,频率变化参数增大,而转子转速参数减小。这导致参考功率的下降率较小,因此电功率以平滑的梯度低于机械功率,而不是逐步的方式。结果,转子转速恢复快,没有FSD。另一个好处是在频率支持期间保持了MPPT特征质量,因为新的参考值被纳入了MPPT特征。测试系统的MATLAB仿真结果表明,所提出的设计成功地提高了系统的频率,而没有引起FSD。此外,它有效地和迅速地恢复转子转速。
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来源期刊
International Journal of Energy Research
International Journal of Energy Research 工程技术-核科学技术
CiteScore
9.80
自引率
8.70%
发文量
1170
审稿时长
3.1 months
期刊介绍: The International Journal of Energy Research (IJER) is dedicated to providing a multidisciplinary, unique platform for researchers, scientists, engineers, technology developers, planners, and policy makers to present their research results and findings in a compelling manner on novel energy systems and applications. IJER covers the entire spectrum of energy from production to conversion, conservation, management, systems, technologies, etc. We encourage papers submissions aiming at better efficiency, cost improvements, more effective resource use, improved design and analysis, reduced environmental impact, and hence leading to better sustainability. IJER is concerned with the development and exploitation of both advanced traditional and new energy sources, systems, technologies and applications. Interdisciplinary subjects in the area of novel energy systems and applications are also encouraged. High-quality research papers are solicited in, but are not limited to, the following areas with innovative and novel contents: -Biofuels and alternatives -Carbon capturing and storage technologies -Clean coal technologies -Energy conversion, conservation and management -Energy storage -Energy systems -Hybrid/combined/integrated energy systems for multi-generation -Hydrogen energy and fuel cells -Hydrogen production technologies -Micro- and nano-energy systems and technologies -Nuclear energy -Renewable energies (e.g. geothermal, solar, wind, hydro, tidal, wave, biomass) -Smart energy system
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