This paper proposes a hybrid coordination control strategy to improve the low voltage ride-through (LVRT) capability of microgrids. During microgrid external failure, the overcurrent and the voltage sag of the microgrid can be effectively suppressed. Compared with traditional control strategies, the microgrid transient performance can also be enhanced by adopting a generalized control algorithm, performing the active switching of the energy storage (ES) operation mode and triggering the inductance-type flux coupling fault current limiters (FCLs). Among them, according to the hierarchical control structure of the grid-connected inverter, the generalized control algorithm is applied to ES. Through the two degrees of freedom's control principle and inverse plant modeling techniques, the generalized control algorithm can make the control layer of the ES inverter operate in all control targets (i.e., PQ control, droop control and Vf control), with a single control structure. Also, it eliminates the effects of microgrid distortion voltage and ES surge current on the control system of the ES inverter. For the inverter application layer, by introducing microgrid voltage and angular frequency feedforward compensation, the voltage and frequency fluctuation of the microgrid can be suppressed efficiently under the fault conditions. Therefore, with the help of the generalized control algorithm, the active switching function of ES can be carried out successfully, which is the key technology for microgrids to realize their operational mode smooth switching. Meanwhile, the voltage sag and overcurrent of microgrids can be significantly mitigated through generating reactive power from microgrids and injecting it into inductance-type FCLs with lower cost. The related theoretical derivation and simulation analysis under various scenarios (including asymmetric faults) confirm that the proposed control strategy can not only enhance the LVRT capability, but also strengthen the microgrid transient performance.
Skip Nav Destination
,
,
,
,
Article navigation
Research Article|
May 14 2019
Low voltage ride-through capability improvement of microgrid using a hybrid coordination control strategy Available to Purchase
Feng Zheng;
Feng Zheng
a)
1
School of Electrical Engineering and Automation, Fuzhou University
, Fuzhou, People's Republic of China
a)Author to whom correspondence should be addressed: [email protected]
Search for other works by this author on:
Yiqiang Chen;
Yiqiang Chen
1
School of Electrical Engineering and Automation, Fuzhou University
, Fuzhou, People's Republic of China
Search for other works by this author on:
Yachao Zhang;
Yachao Zhang
1
School of Electrical Engineering and Automation, Fuzhou University
, Fuzhou, People's Republic of China
Search for other works by this author on:
Yanzhen Lın;
Yanzhen Lın
2
Fuzhou Power Supply Company
, Fuzhou, People's Republic of China
Search for other works by this author on:
Moufa Guo
Moufa Guo
1
School of Electrical Engineering and Automation, Fuzhou University
, Fuzhou, People's Republic of China
Search for other works by this author on:
Feng Zheng
1,a)
Yiqiang Chen
1
Yachao Zhang
1
Yanzhen Lın
2
Moufa Guo
1
1
School of Electrical Engineering and Automation, Fuzhou University
, Fuzhou, People's Republic of China
2
Fuzhou Power Supply Company
, Fuzhou, People's Republic of China
a)Author to whom correspondence should be addressed: [email protected]
J. Renewable Sustainable Energy 11, 034102 (2019)
Article history
Received:
September 22 2018
Accepted:
February 24 2019
Citation
Feng Zheng, Yiqiang Chen, Yachao Zhang, Yanzhen Lın, Moufa Guo; Low voltage ride-through capability improvement of microgrid using a hybrid coordination control strategy. J. Renewable Sustainable Energy 1 May 2019; 11 (3): 034102. https://doi.org/10.1063/1.5061690
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
Wind and solar energy droughts: Potential impacts on energy system dynamics and research needs
James M. Wilczak, Daniel B. Kirk-Davidoff, et al.
Machine learning for modern power distribution systems: Progress and perspectives
Marija Marković, Matthew Bossart, et al.
Model intercomparison of the ABL, turbines, and wakes within the AWAKEN wind farms under neutral stability conditions
Alan S. Hsieh, Lawrence C. Cheung, et al.
Related Content
Low voltage ride-through capability improvement of photovoltaic systems using a novel hybrid control
J. Renewable Sustainable Energy (October 2017)
A self-convergence droop control of no communication based on double-quadrant state of charge in DC microgrid applications
J. Renewable Sustainable Energy (June 2017)
Operating performance analysis on wind turbines with the speed regulating differential mechanism
J. Renewable Sustainable Energy (November 2018)
Mitigation of harmonics and inter-harmonics with LVRT and HVRT enhancement in grid-connected wind energy systems using genetic algorithm- optimized PWM and fuzzy adaptive PID control
J. Renewable Sustainable Energy (March 2021)
A comprehensive review of reactive power control strategies for three phase grid connected photovoltaic systems with low voltage ride through capability
J. Renewable Sustainable Energy (July 2019)