Improvement of Frequency Stability in Microgrids Integrated with Electric Vehicles Based Virtual Inertia Control

2019 ◽  
Author(s):  
H. Ali ◽  
G. Magdy ◽  
Binbin Li ◽  
Dianguo Xu
Keyword(s):  
Electric Vehicles ◽  
Frequency Stability ◽  
Virtual Inertia ◽  
Inertia Control

scholarly journals Provision of Frequency Stability of an Islanded Microgrid Using a Novel Virtual Inertia Control and a Fractional Order Cascade Controller

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4152
Author(s):  
Soroush Oshnoei ◽  
Mohammadreza Aghamohammadi ◽  
Siavash Oshnoei ◽  
Arman Oshnoei ◽  
Behnam Mohammadi-Ivatloo
Keyword(s):  
Fractional Order ◽  
Degrees Of Freedom ◽  
Search Algorithm ◽  
Frequency Control ◽  
Renewable Energy Sources ◽  
Dynamic Performance ◽  
Frequency Stability ◽  
Virtual Inertia ◽  
Inertia Control ◽  
System Frequency

Nowadays, the renewable energy sources in microgrids (MGs) have high participation to supply the consumer’s demand. In such MGs, the problems such as the system frequency stability, inertia, and damping reduction are threatened. To overcome this challenge, employing the virtual inertia control (VIC) concept in the MG structure could be considered as a viable solution to improve the system frequency response. Hence, this work proposes a novel modeling for VIC in an islanded MG that provides simultaneous emulation of the primary frequency control, virtual inertia, and damping. To show the efficiency of the proposed technique, a comparison is made between the dynamic performance of the proposed VIC and conventional VIC under different scenarios. The results indicate that the proposed VIC presents superior frequency performance in comparison with conventional VIC. In addition to VIC modeling, a new cascade controller based on three-degrees of freedom and fractional-order controllers (FOCs) is proposed as an MG secondary controller. The effectiveness of the proposed controller is compared to tilt-integral-derivative and FO proportional-integral-derivative controllers. The Squirrel search algorithm is utilized to obtain the optimal coefficients of the controllers. The results demonstrate that the proposed controller improves the MG frequency performance over other controllers. Eventually, the sensitivity analysis is performed to investigate the robustness of the proposed controller in the face of the variations of the parameters.

scholarly journals Transient Stability of Voltage-Source Converters using Grid-Forming Virtual Inertia Control

2021 ◽  
Author(s):  
Salem Alshahrani
Keyword(s):  
Pid Control ◽  
Transient Stability ◽  
Frequency Stability ◽  
Energy Resources ◽  
Voltage Source ◽  
Voltage Source Converters ◽  
Control Parameters ◽  
Inertial Response ◽  
Virtual Inertia ◽  
Inertia Control

Renweable energy resources degrade network inertia, thereby frequency stability is worsened. Grid-forming converter aids to stabelize the frequency measures after disturbance by applying virtual inertia to counter the reduced system inertial response. However, some challenges are encountered due to the PID control parameters setting and the virtual inertia value selection<br>

scholarly journals Self-Adaptive Virtual Inertia Control-Based Fuzzy Logic to Improve Frequency Stability of Microgrid With High Renewable Penetration

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 76071-76083 ◽  
Author(s):  
Thongchart Kerdphol ◽  
Masayuki Watanabe ◽  
Komsan Hongesombut ◽  
Yasunori Mitani
Keyword(s):  
Fuzzy Logic ◽  
Frequency Stability ◽  
Virtual Inertia ◽  
High Renewable Penetration ◽  
Inertia Control ◽  
Self Adaptive

Retracted: Robust virtual inertia control to support frequency stability of an islanded microgrid

2018 ◽  
Vol 12 (7) ◽  
pp. 874-874 ◽  
Author(s):  
Thongchart Kerdphol ◽  
Fathin Saifur Rahman ◽  
Yasunori Mitani ◽  
Masayuki Watanabe ◽  
Komsan Hongesombut
Keyword(s):  
Frequency Stability ◽  
Islanded Microgrid ◽  
Virtual Inertia ◽  
Inertia Control

scholarly journals Transient Stability of Voltage-Source Converters using Grid-Forming Virtual Inertia Control

2021 ◽  
Author(s):  
Salem Alshahrani
Keyword(s):  
Pid Control ◽  
Transient Stability ◽  
Frequency Stability ◽  
Energy Resources ◽  
Voltage Source ◽  
Voltage Source Converters ◽  
Control Parameters ◽  
Inertial Response ◽  
Virtual Inertia ◽  
Inertia Control

Renweable energy resources degrade network inertia, thereby frequency stability is worsened. Grid-forming converter aids to stabelize the frequency measures after disturbance by applying virtual inertia to counter the reduced system inertial response. However, some challenges are encountered due to the PID control parameters setting and the virtual inertia value selection<br>

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.

Analysis of Frequency Stability with SCES’s type of Virtual Inertia Control for The IEEE 9 Bus System

2021 ◽  
Author(s):  
Novia U. Putri ◽  
Farli Rossi ◽  
Akhmad Jayadi ◽  
Jaka P. Sembiring ◽  
Haekal Maulana
Keyword(s):  
Frequency Stability ◽  
Virtual Inertia ◽  
Inertia Control ◽  
Bus System

scholarly journals Applying Virtual Inertia Control Topology to SMES System for Frequency Stability Improvement of Low-Inertia Microgrids Driven by High Renewables

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3902 ◽  
Author(s):  
Thongchart Kerdphol ◽  
Masayuki Watanabe ◽  
Yasunori Mitani ◽  
Veena Phunpeng
Keyword(s):  
Control System ◽  
Control Method ◽  
Magnetic Energy ◽  
Frequency Stability ◽  
Property A ◽  
Virtual Inertia ◽  
Inertia Control ◽  
And Control ◽  
System Frequency ◽  
Control Topology

To integrate renewable energy into microgrids with a favorable inertia property, a virtual inertia control application is needed. Considering the inertia emulation capabilities, insufficient emulation of inertia power due to the lower and short-term power of storage systems could significantly cause system instability and failure. To enhance such capability, this paper applies a virtual inertia control topology to the superconducting magnetic energy storage (SMES) technology. The SMES-based virtual inertia control system is implemented in a microgrid with renewables to emulate sufficient inertia power and maintain good system frequency stability. The efficacy and control performance of the proposed control method are compared with those of the traditional virtual inertia control system. Simulation results show that the shortage of system inertia due to renewable penetration is properly compensated by the proposed control method, improving system frequency stability and maintaining the robustness of system operations.

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