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Synchronization of power systems under stochastic disturbances

Authors: Zhen Wang 0051; Kaihua Xi; Aijie Cheng; Hai-Xiang Lin; André C. M. Ran; Jan H. van Schuppen; Chenghui Zhang;

Synchronization of power systems under stochastic disturbances

Abstract

The synchronization of power generators is an important condition for the proper functioning of a power system, in which the fluctuations in frequency and the phase angle differences between the generators are sufficiently small when subjected to stochastic disturbances. Serious fluctuations can prompt desynchronization, which may lead to widespread power outages. Here, we model the stochastic disturbance by a Brownian motion process in the linearized system of the non-linear power systems and characterize the fluctuations by the variances of the frequency and the phase angle differences in the invariant probability distribution. We propose a method to calculate the variances of the frequency and the phase angle differences. For the system with uniform disturbance-damping ratio, we derive explicit formulas for the variance matrices of the frequency and the phase angle differences. It is shown that the fluctuation of the frequency at a node depends on the disturbance-damping ratio and the inertia at this node only, and the fluctuations of the phase angle differences in the lines are independent of the inertia. In particular, the synchronization stability is related to the cycle space of the network. We reveal the influences of constructing new lines and increasing capacities of lines on the fluctuations in the phase angle differences in the existing lines. The results are illustrated for the transmission system of Shandong Province of China. For the system with non-uniform disturbance-damping ratio, we further obtain bounds of the variance matrices.

21 pages, 4 tables and 2 figures

Country
Netherlands
Keywords

Network topology, graph theory, 612, Systems and Control (eess.SY), Invariant probability distribution, Electrical Engineering and Systems Science - Systems and Control, network topology, cycle space, system stability, Graph theory, System stability, invariant probability distribution, Cycle space, Networked control, variances, FOS: Electrical engineering, electronic engineering, information engineering, Variances, Nonlinear systems in control theory, SDG 7 - Affordable and Clean Energy, Stochastic stability in control theory

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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