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Transient stability augmentation of hybrid power system based on synthetic inertia control of DFIG

机译:基于合成惯性控制的DFIG的混合动力系统瞬态稳定性增强

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Integration of large scale renewable energy sources (RESs), such as: wind power and photovoltaic (PV) plants, into the power system decreases the dependence on fossil fuel. Therefore, the total system inertia will be reduced because of gradual replacement of the conventional synchronous generators (SGs). This paper proposes a new method to enhance the transient stability of the power system with RESs introduced, in which variable speed wind turbine with doubly fed induction generator (VSWT-DFIG) supplies its kinetic energy (KE) during generation outage to stabilize conventional SGs. A suitable fuzzy logic based synthetic inertia controller is proposed to supply the KE effectively during transient period. This fuzzy logic controller (FLC) can continuously adjust the synthetic inertia controller gain depending upon the incoming wind speed. The effectiveness of the proposed synthetic inertia control method has been verified through simulation analyses on a hybrid power system model composed of DFIG, PV plant and SGs.
机译:大规模可再生能源(RESS)的整合,例如:风力和光伏(PV)工厂,进入电力系统降低了对化石燃料的依赖。因此,由于传统的同步发电机(SGS)逐渐更换,因此将减少总系统惯性。本文提出了一种新方法来提高ress引入的电力系统的瞬态稳定性,其中具有双馈感应发电机(Vswt-dfig)的可变速度风力涡轮机(Vswt-dfig)在出现中断期间提供其动能(Ke)以稳定常规SGS。提出了一种合适的模糊逻辑的合成惯量控制器,在瞬态期间有效地提供KE。这种模糊逻辑控制器(FLC)可以根据输入的风速连续调节合成惯性控制器增益。通过对DFIG,PV工厂和SGS组成的混合动力系统模型的仿真分析,已经通过模拟分析来验证了所提出的合成惯性控制方法的有效性。

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