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Cooperative Control to Enhance the Frequency Stability of Islanded Microgrids with DFIG-SMES

机译:DFIG-SMES协同控制提高孤岛微电网的频率稳定性

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The issue of frequency stability of microgrids under islanded operation mode and mode transfer has attracted particular attention recently. In this paper, a cooperative frequency control method, which consists of a microgrid central control (MGCC) and microgrid local control (MGLC), is proposed to achieve a seamless transfer from grid-connected to islanded mode, and hence increase the frequency stability of islanded microgrids during both primary and secondary frequency control. A power deficiency prediction and distribution method is proposed in MGCC to effectively distribute and utilize the power and loads, and accomplish the cooperative control of all microgrid units. With regards to MGLC, a Hopfield fuzzy neural network control (HFNNC) is applied to make the corresponding frequency control of DFIG-SMES more adaptive. Meanwhile a state of capacity (SOC) control is utilized in battery energy storage (BES) to extend battery life. Simulation results indicate that the proposed frequency control approach can maintain the frequency stability of islanded microgrids even in emergency conditions.
机译:近来,微电网在孤岛运行模式和模式转换下的频率稳定性问题引起了人们的特别关注。本文提出了一种由微电网中央控制(MGCC)和微电网局部控制(MGLC)组成的协同频率控制方法,以实现从并网到孤岛模式的无缝转换,从而提高了电网的频率稳定性。一次和二次频率控制期间的孤岛微电网。在MGCC中提出了一种电力不足预测与分配方法,以有效地分配和利用电力和负荷,并完成对所有微电网单元的协调控制。关于MGLC,应用了Hopfield模糊神经网络控制(HFNNC),以使DFIG-SMES的相应频率控制更具适应性。同时,在电池能量存储(BES)中使用容量状态(SOC)控制来延长电池寿命。仿真结果表明,所提出的频率控制方法即使在紧急情况下也能保持孤岛微电网的频率稳定性。

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