Evaluating a Virtual Inertia Control Scheme for a DFIG Wind Turbine

2021 ◽  
Author(s):  
A. Issac Rosales-Romero ◽  
F. Sergio Sellschopp-Sanchez ◽  
Ricardo Vargas-Salas ◽  
Marco A. Arjona-Lopez ◽  
Rodrigo Loera-Palomo
Keyword(s):  
Wind Turbine ◽  
Control Scheme ◽  
Virtual Inertia ◽  
Inertia Control

scholarly journals The Research on Second-Order ADRC Algorithm of Using Wind Turbine Virtual Inertia to Participate in Primary Frequency Regulation in a Small Stand-Alone Microgrid

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Wang Yi ◽  
Jiang Hanhong ◽  
Xing Pengxiang
Keyword(s):  
Wind Turbine ◽  
Transient Stability ◽  
Synchronous Generator ◽  
Second Order ◽  
Frequency Regulation ◽  
Regulation Mechanism ◽  
Direct Drive ◽  
Virtual Inertia ◽  
Inertia Control ◽  
Primary Frequency

In order to improve the transient stability of frequency in a small stand-alone microgrid (SSM), this paper takes a SSM composed of a direct-drive permanent magnet synchronous generator (D-PMSG) and a micro gas turbine (MGT) as the background and uses wind turbine generator (WTG) virtual inertia (VI) to participate in the primary (short-term) system frequency regulation. First of all, this paper constructs a grid-connected model composed of a WTG and a MGT, analyzes the WTG virtual inertia frequency regulation mechanism, and explains the principle of proportional-differentiation (PD) virtual inertia control (VIC) and its shortcomings. Secondly, the paper introduces the structure principle of n-order active disturbance rejection control (ADRC) and deduces the design process of second-order ADRC-VIC. Finally, through the simulation and experimental verification, comparing the frequency perturbation of without-VIC, PD-VIC, and ADRC-VIC, it is concluded that PD-VIC and ADRC-VIC both can use the WTG virtual inertia to participate in the primary frequency regulation. The frequency regulation effect of ADRC-VIC is better than PD-VIC, ADRC-VIC can extend the rotor speed recovery time and avoid overshoot, and its frequency fluctuation amplitude and settling time are obviously improved, and ADRC-VIC can effectively avoid the overshoot phenomenon of the MGT output power.

scholarly journals Heuristic Optimization of Virtual Inertia Control in Grid-Connected Wind Energy Conversion Systems for Frequency Support in a Restructured Environment

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 564 ◽  
Author(s):  
Anuoluwapo Oluwatobiloba Aluko ◽  
David George Dorrell ◽  
Rudiren Pillay Carpanen ◽  
Evan E. Ojo
Keyword(s):  
Wind Energy ◽  
Control Strategy ◽  
Artificial Bee Colony ◽  
Wind Energy Conversion ◽  
Wind Energy Conversion Systems ◽  
Bee Colony ◽  
Control Scheme ◽  
Energy Conversion Systems ◽  
Virtual Inertia ◽  
Inertia Control

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.

scholarly journals Dynamic Frequency Support from a DFIG-Based Wind Turbine Generator via Virtual Inertia Control

2020 ◽  
Vol 10 (10) ◽  
pp. 3376 ◽  
Author(s):  
Dejian Yang ◽  
Enshu Jin ◽  
Jiahan You ◽  
Liang Hua
Keyword(s):  
Wind Speed ◽  
Power Systems ◽  
Wind Turbine ◽  
Control Strategy ◽  
Control Method ◽  
Frequency Stability ◽  
Virtual Inertia ◽  
Inertia Control ◽  
System Frequency ◽  
Inertia Response

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.

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

2022 ◽  
pp. 1-1
Author(s):  
Tong Wang ◽  
Mingxin Jin ◽  
Yongda Li ◽  
Jiaming Wang ◽  
Zengping Wang ◽  
...  
Keyword(s):  
Power Systems ◽  
Damping Control ◽  
Control Scheme ◽  
Virtual Inertia ◽  
Inertia Control

scholarly journals Data-Driven Virtual Inertia Control Method of Doubly Fed Wind Turbine

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5572
Author(s):  
Tai Li ◽  
Leqiu Wang ◽  
Yanbo Wang ◽  
Guohai Liu ◽  
Zhiyu Zhu ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Riccati Equation ◽  
Control Method ◽  
Frequency Measurement ◽  
Data Driven ◽  
Optimal Controller ◽  
Differential Riccati Equation ◽  
Virtual Inertia ◽  
Inertia Control ◽  
Doubly Fed

This paper presents a data-driven virtual inertia control method for doubly fed induction generator (DFIG)-based wind turbine to provide inertia support in the presence of frequency events. The Markov parameters of the system are first obtained by monitoring the grid frequency and system operation state. Then, a data-driven state observer is developed to evaluate the state vector of the optimal controller. Furthermore, the optimal controller of the inertia emulation system is developed through the closed solution of the differential Riccati equation. Moreover, a differential Riccati equation with self-correction capability is developed to enhance the anti-noise ability to reject noise interference in frequency measurement process. Finally, the simulation verification was performed in Matlab/Simulink to validate the effectiveness of the proposed control strategy. Simulation results showed that the proposed virtual inertia controller can adaptively tune control parameters online to provide transient inertia supports for the power grid by releasing the kinetic energy, so as to improve the robustness and anti-interference ability of the control system of the wind power system.

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