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Distributed Secondary Control for Average Voltage Recovery and Current Sharing of DC MGs via a Fully Actuated Error
This study introduces a novel error model for converter-based direct current (DC) microgrids (MGs), enabling unified voltage regulation and current balancing. The proposed distributed optimal control ensures stability and efficient power sharing in DC MGs.
Area of Science:
- Electrical Engineering
- Control Systems
- Renewable Energy Systems
Background:
- Converter-based multibus DC microgrids (MGs) face challenges in balancing voltage regulation and current sharing due to line impedance.
- Existing models for DC MGs often lack a balance between accuracy and simplicity, hindering model-based secondary control research.
- Voltage stability and power quality are crucial for MGs, while effective current sharing extends the lifespan of generation units.
Purpose of the Study:
- To develop a simplified yet accurate error model for DC MGs that incorporates circuit and inner control loop dynamics.
- To propose a distributed optimal control strategy to address the conflict between voltage regulation and current balancing.
- To validate the proposed model and control method through theoretical analysis and experimental implementation.
Main Methods:
- Development of a DC MG error model using the FA system theory, capturing power characteristics and control loop dynamics.
- Design of a distributed optimal control based on the unified regulation error for voltage recovery and current allocation.
- Stability analysis of the closed-loop MG system, including consensus analysis for current sharing and tracking analysis for average voltages.
Main Results:
- The proposed error model offers a novel approach by unifying voltage and current regulation objectives into a single error term.
- The distributed optimal control demonstrates effective voltage recovery and precise current allocation, resolving the inherent conflict.
- Theoretical analyses confirm the stability of the closed-loop system and the effectiveness of current sharing and voltage tracking.
Conclusions:
- The developed error model and distributed optimal control provide a robust and efficient solution for managing converter-based DC MGs.
- The unified approach simplifies control design while improving performance in terms of voltage stability and current sharing.
- Experimental validation on a laboratory-scale MG prototype confirms the practical applicability and effectiveness of the proposed method.
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