Carlos Alfaro;Ramon Guzman;Antonio Camacho;Ángel Borrell;Luis Garcia de Vicuña
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A Novel Complex Power Sharing Based on Sliding Mode Control for Islanded AC Microgrids
This article introduces a novel complex sliding-mode control strategy for grid-forming inverters in islanded microgrids. This approach offers an alternative to the traditional hierarchical control strategies that typically rely on droop control, communication-based secondary controls, and virtual impedance methods. To develop the complex sliding-mode control, we propose a complex phasor model for grid-forming inverters, presenting an alternative to the conventional power flow model used in ac microgrids. This model enables the derivation of a linear complex dynamic model for grid-forming inverters connected to a microgrid, based on the apparent power differential equation, thereby simplifying the control law design process. The proposed control system features three key advantages: first, it ensures precise active and reactive power sharing across both resistive and inductive power lines, eliminating the need for virtual impedance; second, it exhibits high robustness against line impedance mismatches and external disturbances, including load changes and the connection and disconnection of inverters; and third, it eliminates the requirement for secondary frequency control. Experimental results validate the effectiveness of the proposed control strategy.
期刊介绍:
Journal Name: IEEE Transactions on Industrial Electronics
Publication Frequency: Monthly
Scope:
The scope of IEEE Transactions on Industrial Electronics encompasses the following areas:
Applications of electronics, controls, and communications in industrial and manufacturing systems and processes.
Power electronics and drive control techniques.
System control and signal processing.
Fault detection and diagnosis.
Power systems.
Instrumentation, measurement, and testing.
Modeling and simulation.
Motion control.
Robotics.
Sensors and actuators.
Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems.
Factory automation.
Communication and computer networks.