Multi-time scale dynamics in power electronics-dominated power systems

doi:10.1007/s11465-017-0428-z

Front. Mech. Eng.

2017, Vol. 12

Issue (3) : 303-311 https://doi.org/10.1007/s11465-017-0428-z

RESEARCH ARTICLE

Multi-time scale dynamics in power electronics-dominated power systems

Xiaoming YUAN(

), Jiabing HU, Shijie CHENG

State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

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Abstract

Electric power infrastructure has recently undergone a comprehensive transformation from electromagnetics to semiconductors. Such a development is attributed to the rapid growth of power electronic converter applications in the load side to realize energy conservation and on the supply side for renewable generations and power transmissions using high voltage direct current transmission. This transformation has altered the fundamental mechanism of power system dynamics, which demands the establishment of a new theory for power system control and protection. This paper presents thoughts on a theoretical framework for the coming semiconducting power systems.

Keywords power electronics power systems multi-time scale dynamics mass-spring-damping model self-stabilizing and en-stabilizing property multi-time scale power system stabilizer

Corresponding Author(s): Xiaoming YUAN

Just Accepted Date: 07 June 2017 Online First Date: 19 July 2017 Issue Date: 04 August 2017

Cite this article:

Xiaoming YUAN,Jiabing HU,Shijie CHENG. Multi-time scale dynamics in power electronics-dominated power systems[J]. Front. Mech. Eng., 2017, 12(3): 303-311.

URL:

https://academic.hep.com.cn/fme/EN/10.1007/s11465-017-0428-z
https://academic.hep.com.cn/fme/EN/Y2017/V12/I3/303

Fig.1 Power converter-interfaced devices are increasingly being deployed in power system generation, transmission, and consumption

Fig.2 Multi-time scale controls for rotor speed, DC voltage, AC active current, reactive power, AC voltage, and AC reactive current in a typical, direct-driven wind turbine

Fig.3 Framework of dynamic problems encountered in semiconducting power systems

Fig.4 Phase and magnitude motion of back EMF reflect the motions of the tangential mass and the radial mass in the tangential and the radial directions, respectively

Fig.5 Mass-spring-damping model for the phase of the back EMF with DFIG at an electromechanical timescale. (a) Simplified diagram for the formation of the phase of the back EMF with DFIG; (b) the mass-spring-damping model for the phase of the back EMF with DFIG

Fig.6 DFIG reactive power control diagram and the mass-spring-damping representation of the motion of the magnitude of the back EMF. (a) Typical reactive power control diagram for wind turbines; (b) mass-spring-damping model for magnitude motion of the back EMF

Fig.7 Interaction mechanism among the back EMF of devices through the grid network

Fig.8 Corresponding damping ratios of inter-area modes with the variations of PLL gain in wind turbines

Fig.9 Corresponding damping ratios of inter-area modes with the variations of voltage controller gain in wind turbines

Fig.10 Block diagram that represents Eq. (2) how net damping and restoring forces are generated from speed or displacement deviation

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