Enhanced control and parameter analysis for virtual synchronous generators without PLL. Issue 16 (13th December 2018)

• Record Type: Journal Article
• Authors: Zhang, Bo; Zhang, Xueyuan; Song, Zijun; Yan, Xiangwu
• Is Part Of: Journal of engineering. Volume 2019:Issue 16(2019)
• Page Start: 3082
• Page End: 3087
• Publication Date: 2018-12-13
• Subjects: machine control -- power system stability -- phase locked loops -- power generation control -- feedback -- control system synthesis -- synchronous generators -- invertors -- electric current control; virtual synchronous generator technology -- stability controlling -- enhanced controller -- VSG dynamics -- enhanced VSG control system -- electrical system -- enhanced control design -- PLL -- virtual synchronous generators -- VSG system impacts -- small‐signal stability analysis -- droop controller -- virtual impedance -- current controller -- enhanced virtual inertia controller; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2018.8453
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : Currently, virtual synchronous generator (VSG) technology is proposed to be a solution to stability controlling of micro‐source inverter. However, the deviation from phase locked loop (PLL) influences the reference frequency calculating which is important to the VSG control system. This paper focuses on the virtual inertia controller in the VSG control system, an enhanced controller is achieved for avoiding the effect of PLL on the VSG dynamics. For analysing dynamic characteristics of the enhanced VSG control system, the linearised small‐signal model of VSG in isolated operation is well established, including electrical system, enhanced virtual inertia controller, voltage and current controller, virtual impedance, and droop controller. By small‐signal stability analysis, the influence rules of the main parameters (load, line, virtual inertia and proportional‐Integral gain) on VSG system impacts are provided, which helps identifying possible feedback signals for controller design to improve the system stability. Results obtained from time‐domain small‐signal model are compared with those from the electrical simulation to verify its accuracy.