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Inertia location and slow network modes determine disturbance propagation in large-scale power grids

机译:惯性位置和慢速网络模式决定了大型电网中的干扰传播

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摘要

Conventional generators in power grids are steadily substituted with new renewable sources of electric power. The latter are connected to the grid via inverters and as such have little, if any rotational inertia. The resulting reduction of total inertia raises important issues of power grid stability, especially over short-time scales. With the motivation in mind to investigate how inertia reduction influences the transient dynamics following a fault in a large-scale electric power grid, we have constructed a model of the high voltage synchronous grid of continental Europe. To assess grid stability and resilience against disturbance, we numerically investigate frequency deviations as well as rates of change of frequency (RoCoF) following abrupt power losses. The magnitude of RoCoF’s and frequency deviations strongly depend on the fault location, and we find the largest effects for faults located on the support of the slowest mode—the Fiedler mode—of the network Laplacian matrix. This mode essentially vanishes over Belgium, Eastern France, Western Germany, northern Italy and Switzerland. Buses inside these regions are only weakly affected by faults occuring outside. Conversely, faults inside these regions have only a local effect and disturb only weakly outside buses. Following this observation, we reduce rotational inertia through three different procedures by either (i) reducing inertia on the Fiedler mode, (ii) reducing inertia homogeneously and (iii) reducing inertia outside the Fiedler mode. We find that procedure (iii) has little effect on disturbance propagation, while procedure (i) leads to the strongest increase of RoCoF and frequency deviations. This shows that, beyond absorbing frequency disturbances following nearby faults, inertia also mitigates frequency disturbances from distant power losses, provided both the fault and the inertia are located on the support of the slowest modes of the grid Laplacian. These results for our model of the European transmission grid are corroborated by numerical investigations on the ERCOT transmission grid.
机译:电网中的常规发电机逐渐被新的可再生电力替代。后者通过逆变器连接到电网,因此旋转惯量很小(如果有的话)。总惯量的减少引起了电网稳定性的重要问题,尤其是在短时间内。考虑到研究惯性降低对大型电网故障后瞬态动力学的影响的动机,我们构建了欧洲大陆高压同步电网的模型。为了评估电网的稳定性和抵抗干扰的能力,我们以数字方式调查了频率突变以及突然掉电后的频率变化率(RoCoF)。 RoCoF的幅度和频率偏差在很大程度上取决于故障位置,我们发现故障的最大影响在于网络拉普拉斯矩阵的最慢模式(Fiedler模​​式)的支持。这种模式基本上在比利时,法国东部,德国西部,意大利北部和瑞士消失。这些区域内部的总线仅受外部故障的影响很小。相反,这些区域内部的故障仅具有局部影响,并且仅对总线外部的微弱干扰。根据这一观察结果,我们可以通过以下三种不同的程序来降低旋转惯量:(i)减小Fiedler模​​式下的惯性,(ii)均匀减小惯性,以及(iii)减小Fiedler模​​式外的惯性。我们发现,程序(iii)对干扰传播几乎没有影响,而程序(i)导致RoCoF和频率偏差的增加最大。这表明,除了吸收附近故障后的频率干扰外,惯性还可以减轻由于遥远的功率损耗而引起的频率干扰,只要故障和惯性都位于电网拉普拉斯最慢模式的支持下即可。通过对ERCOT输电网进行的数值研究,证实了我们欧洲输电网模型的这些结果。

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