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A New Decentralized Robust Secondary Control for Smart Islanded Microgrids
Ali M Jasim1,2, Basil H Jasim1, Vladimír Bureš3
1Electrical Engineering Department, University of Basrah, Basrah 61001, Iraq.
Sensors (Basel, Switzerland)
|November 26, 2022
Summary
This study introduces a decentralized secondary control scheme using optimized PI controllers, Genetic Algorithms, and Artificial Neural Networks to stabilize microgrid voltage and frequency. It also addresses power sharing and reduces losses in long-distance transmission.
Area of Science:
- Electrical Engineering
- Power Systems
- Control Systems
Background:
- Microgrids (MGs) require autonomous control for stable islanded operation.
- Droop controllers, while common for voltage and frequency regulation, suffer from steady-state deviations and power-sharing issues due to impedance mismatches.
- Secondary control is essential to correct droop controller limitations.
Purpose of the Study:
- To propose a decentralized secondary control unit (SCU) scheme for stabilizing microgrid voltage and frequency.
- To address power-sharing challenges among parallel distributed generators (DGs).
- To investigate the integration of Low-Voltage DC Transmission (LVDCT) for efficient long-distance power transmission.
Main Methods:
- A decentralized SCU scheme employing optimized Proportional-Integral (PI) controllers.
- Genetic Algorithms (GA) for tuning PI controller parameters in primary and secondary control loops.
- Artificial Neural Networks (ANNs) for online parameter adjustment within SCUs.
- Virtual impedance method in the primary control to resolve power-sharing issues.
- Low-Voltage DC Transmission (LVDCT) for efficient power delivery.
- Voltage Source Inverters (VSIs) for DC to AC conversion.
Main Results:
- Successful restoration of voltage and frequency deviations in the microgrid.
- Effective active and reactive power sharing among connected DGs.
- Significant reduction in power losses during long-distance transmission.
- Demonstrated feasibility of the integrated control and transmission system.
Conclusions:
- The proposed decentralized SCU scheme effectively stabilizes microgrid voltage and frequency.
- The integration of GA and ANNs provides robust and adaptive control parameter optimization.
- The virtual impedance method and LVDCT contribute to improved power sharing and transmission efficiency.
- The overall solution enhances the reliability and performance of islanded microgrids.
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