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Understanding the impact of network topology on frequency stability considering continuous spatial-temporal disturbances from wind generation

机译:了解网络拓扑对频率稳定性的影响,考虑了风发的连续空间紊乱

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Low-inertia power systems with a large share of variable renewable energy have less ability to maintain system frequency stability. These networks are at the mercy of the variable meteorological conditions like wind speed fluctuations. This paper investigates the temporal and spatial behaviour of wind speed, how the wind variability impacts the system frequency response, and the role network topology has on the frequency transient stability. With the use of a Markov chain, the fluctuating behaviour of wind speed is then, modelled and characterised into two categories. The results reveal that wind speed fluctuations in continuous increasing/decreasing directions deplete the inertia kinetic energy in the system and drives the system closer to instability. For non-homogeneous network topology parameters, this work shows that transmission line reactance reduces the magnitude of the RoCoF fluctuations like inertia does. Due to the transmission line reactance, and the low spatial correlations of wind speed fluctuations, the impact of the perturbations is only significant on a local level. Thus, for overall network frequency stability, the local-area frequency stability should be insured first, for power systems considering large-scale and spatially distributed variable renewable generation integration.
机译:具有大量可变可再生能源份额的低惯性电力系统具有维护系统频率稳定性的能力较低。这些网络处于像风速波动等可变气象条件的ercy。本文调查了风速的时间和空间行为,风可变性如何影响系统频率响应,并且角色网络拓扑对频率稳定性。随着Markov链的使用,那么风速的波动行为,建模并表征为两类。结果表明,连续增加/减少方向的风速波动消耗了系统中的惯性动能,并使系统更接近不稳定。对于非均质网络拓扑参数,这项工作表明,传输线电抗降低了诸如惯性的罗频波动的大小。由于传输线路电抗,以及风速波动的低空间相关性,扰动的影响在局部水平上仅显着。因此,对于整体网络频率稳定性,局部区域频率稳定性首先应确保,用于考虑大规模和空间分布的可变可再生生成集成的电力系统。

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