POWER SYSTEM BROADBAND OSCILLATION RISK IDENTIFICATION AND SUPPRESSION FOR NEW ENERGY ACCESS

Cheng Jing; Su Le; Yue Lei

doi:10.19912/j.0254-0096.tynxb.2022-1434

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (11) : 565-574. DOI: 10.19912/j.0254-0096.tynxb.2022-1434

POWER SYSTEM BROADBAND OSCILLATION RISK IDENTIFICATION AND SUPPRESSION FOR NEW ENERGY ACCESS

Cheng Jing^1,2, Su Le¹, Yue Lei³

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Abstract

The power system oscillation and stability problem have a long history. With the high proportion and large-scale access to new energy, its uncertainty, low inertia characteristics and interaction with traditional power systems will bring new challenges to the oscillation problem. In this paper, a method of power system oscillation risk identification and suppression based on mode analysis is proposed. The new energy generation part and the traditional power system part were regarded as two independent subsystems, and their open-loop state matrix eigenvalues were used to determine the satisfaction of mode resonance conditions, and the closed-loop system eigenvalues and oscillation conditions were further estimated. On this basis, the participation factors were introduced to observe the dominant factors that caused oscillations in each frequency band, optimized and adjusted the system parameters to change the distribution of system eigenvalues, destroyed the oscillation conditions, and thus suppressed oscillations. The system model was established and an example simulation analysis and verification were carried out on the Matlab software platform. The results indicate that the oscillation risk identification and suppression method can detect the wideband oscillation of the power system to its advantage, accurately identify the oscillation causes, and has a good ability to restrain and eliminate oscillation, further improving the whole closed-loop system damping and stability.

Key words

wind power / PV power / electric power systems / circuit oscillations / identification and suppression / mode resonance

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Cheng Jing, Su Le, Yue Lei. POWER SYSTEM BROADBAND OSCILLATION RISK IDENTIFICATION AND SUPPRESSION FOR NEW ENERGY ACCESS[J]. Acta Energiae Solaris Sinica. 2023, 44(11): 565-574 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1434

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