Parameter-Adaptation-Based Virtual DC Motor Control Method for Energy Storage Converter

Abstract

To suppress the influence of power fluctuation in the DC microgrid system, virtual DC motor (VDM) control is applied to the energy storage converter for improving the stability of the power system. Due to the fixed parameters adopted in the traditional VDM control strategy, the dynamic response of the system cannot be taken into account. Based on the traditional VDM control strategy，a small signal model is established to analyze the influence of the moment of inertia J and the damping coefficient D on the control performance. Moreover, the effects of J and D on the dynamic response of DC bus voltage under power fluctuation are thoroughly analyzed. Consequently, a novel parameter-adaptation-based VDM control strategy is proposed by realizing the adaptive adjustment of J and D. Furthermore, the comparative simulation of three kinds of operating conditions are carried out, and the adaptive parameters are determined through comparative simulation under three kinds of operating conditions. The results show that, compared with traditional PI control and traditional VDM control, the proposed control strategy has great superiorities in control effect and flexibility, and the anti-interference and dynamic response abilities of the system are significantly improved.

An Adaptive Control Strategy for Energy Storage Interface Converter Based on Analogous Virtual Synchronous Generator

“…To address the aforementioned issues, experts both domestically and internationally have proposed various types of inertia control strategies, mainly including virtual element control [6][7][8][9], virtual DC generator (VDG) control [10][11][12][13][14][15][16][17], and analogous virtual generator (AVSG) control [18][19][20][21][22]. Virtual element control is often used in the form of electronic components for inertial enhancement.…”

Research on VDG Control Strategy in Hybrid Energy Storage System of Photovoltaic DC Microgrid

“…Bode diagram with different parameters J and D can be obtained according to formula (11), as shown in Figure 5. Because the amplitude margin of the second-order system has the characteristic of infinity, the increase of D will weaken the stability [5][6] . Therefore, J and D should be selected appropriately to meet the system's inertia requirements and stability constraints.…”

Mixed-potential-function-based large-signal stability analysis of DC microgrid with constant power loads

“…To sum up, the VDM control strategy can effectively improve the dynamic response performance and anti-interference ability of the system, which can be introduced into the control link of CPL converter, in order to improve the negative damping characteristics of DC microgrid. The author has proposed a VDM control strategy based on parameter adaptation (Wang et al,2021). In this paper, the author study the large signal stability of DC microgrid system with VDM-controled CPL converter, the MPF method is adopted to model the large signal characterstic of load converter, derive the large signal stability criteria and the asymptotic stability region of DC microgrid, and analyze the dynamic response characteristics of thesystem under three large signal operation conditions of load step, load linear change and load fault.…”