Adaptive Damping Control Scheme for Wind Grid-Connected Power Systems with Virtual Inertia Control

Author(s):  
Tong Wang ◽  
Mingxin Jin ◽  
Yongda Li ◽  
Jiaming Wang ◽  
Zengping Wang ◽  
...  
2021 ◽  
Author(s):  
A. Issac Rosales-Romero ◽  
F. Sergio Sellschopp-Sanchez ◽  
Ricardo Vargas-Salas ◽  
Marco A. Arjona-Lopez ◽  
Rodrigo Loera-Palomo

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 564 ◽  
Author(s):  
Anuoluwapo Oluwatobiloba Aluko ◽  
David George Dorrell ◽  
Rudiren Pillay Carpanen ◽  
Evan E. Ojo

In the work reported in this paper, a novel application of the artificial bee colony algorithm is used to implement a virtual inertia control strategy for grid-connected wind energy conversion systems. The proposed control strategy introduces a new heuristic optimization technique that uses the artificial bee colony (ABC) algorithm to calculate the optimal gain value of an additional derivative control loop added to the control scheme of the machine side converter in a wind energy system to enable wind farms to participate in frequency control as specified by recent grid codes. This helps to minimize the frequency deviations, reduce active power deviation in the system, and increase the penetration level of wind energy in power systems. The study was performed in a restructured power system environment. The proposed control scheme and its robustness were evaluated using load–frequency analysis for three real-life transaction scenarios that can occur in an interconnected open-energy market and the validation was carried out using eigenvalue analysis. The results in this study show that the optimal gain of the proposed controller reduces the frequency deviations and improves stability and overall performance of the system.


2020 ◽  
Vol 10 (10) ◽  
pp. 3376 ◽  
Author(s):  
Dejian Yang ◽  
Enshu Jin ◽  
Jiahan You ◽  
Liang Hua

As the penetrated level of wind in power grids increases, the online system inertia becomes weak. Doubly-fed induction generator (DFIG)-based wind turbine generators (WTGs) are required to provide virtual inertia response to support system frequency. The present inertia control strategy with fixed control gain is not suitable and may cause stall of the DFIG-based WTG, as the virtual inertia response potential from the DFIG-based WTG is different with various wind speed conditions. This paper addresses a virtual inertia control method for the DFIG-based WTGs to improve the system frequency stability without causing stalling of the wind turbine for various wind speed conditions. The effectiveness of the proposed virtual inertia control method is investigated in a small system embedded with the DFIG-based WTG. Results demonstrate that the proposed virtual inertia strategy improves the frequency stability without causing the rotor speed security issue. Thus, the proposed control strategy can secure the dynamic system frequency security of power systems under the scenarios of full and partial loads, and, consequently, the proposed method provides a promising solution of ancillary services to power systems.


Sign in / Sign up

Export Citation Format

Share Document