Abstract
In the off-grid microgrid cluster, the energy storage device is mainly charged and discharged to maintain the stability of the bus voltage and the system power balance. Generally, the voltage and current double closed-loop control and fuzzy control are adopted for the energy storage converter. The traditional double closed-loop control parameters and the scale factor and quantization factor in fuzzy control cannot be adjusted in real time during system operation, resulting in slower dynamic response and weak anti-interference ability of the system. In response to the above problems, this paper proposes an adaptive genetic fuzzy double closed-loop control, which can adjust the PI control parameters in real time by adjusting the quantization factor and the scale factor to optimize the control effect. The simulation platform is built in MATLAB/Simulink and the simulation results show that the adaptive genetic fuzzy double closed-loop control combines the advantages of fuzzy and PI control. Under different working conditions, the system has not only a fast dynamic response, small overshoot, and strong anti-interference ability but also good robustness.
Highlights
With the increasing energy demand, energy shortage, and environmental pollution caused by energy utilization, the use of renewable and clean energy such as solar energy as distributed power sources has gained people’s favor and rapid development
In the development of distributed power sources, in order to ensure the reliability of power supply and power quality for users, some scholars have proposed the concept of the microgrid. e microgrid is a collection of distributed power sources, energy conversion devices, loads, and protection devices. e power distribution system can realize self-control and management [4, 5]
In response to the problem of how to maintain the stability of the system, mainly through the energy storage device connected by the bidirectional DC-DC converter (BDC) and the busbar to charge and discharge, the bus voltage stability and power balance of the microgrid cluster system are maintained
Summary
With the increasing energy demand, energy shortage, and environmental pollution caused by energy utilization, the use of renewable and clean energy such as solar energy as distributed power sources has gained people’s favor and rapid development. As an extension of the single microgrid structure and function expansion, the microgrid cluster uses the interconnected operation of multiple single microgrids to improve the reliability of the power supply of the system It can run in two different working modes, on-grid and off-grid [6–9]. Erefore, when the energy storage converter adopts genetic fuzzy double closed-loop control, the dynamic response speed of the microgrid cluster and the anti-interference ability to the outside world are not very ideal. Is paper proposes an adaptive genetic fuzzy double closed-loop control for energy storage converters in a microgrid cluster. By adjusting the quantization factor and the scale factor, the PI control parameters can be adjusted in real time to optimize the control effect and improve the dynamic response speed of the microgrid cluster and the anti-interference ability to the outside world. The system has a fast dynamic response, small overshoot, and strong anti-interference ability and good robustness
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
