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Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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Dual-tree wavelet transform based advanced adaptive control for seamless transition in PV-battery hybrid microgrid
Buddhadeva Sahoo1, Mohammed M Alhaider2
1Department of Electrical and Electronics Engineering, SR University, Warangal, Telangana, 506371, India. buddhadeva@sru.edu.in.
Scientific Reports
|July 2, 2025
Summary
This study presents an advanced adaptive control (AAC) for hybrid microgrids, improving power quality and stability. The new method ensures seamless transitions between grid-following and grid-forming modes, enhancing overall system performance.
Area of Science:
- Electrical Engineering
- Power Systems Engineering
- Control Systems
Background:
- Hybrid microgrids (HMGs) require robust control for seamless operation and reliable power quality.
- Managing transitions between grid-following and grid-forming modes is crucial for HMG stability.
- Fluctuations in renewable energy sources like photovoltaic (PV) systems necessitate advanced control strategies.
Purpose of the Study:
- To introduce an advanced adaptive control (AAC) technique with a synchronizing controller for HMGs.
- To enhance energy management and ensure seamless transitions between grid-following and grid-forming operational modes.
- To improve power quality (PQ) and dynamic stability under various disturbance conditions.
Main Methods:
- Implementation of a dual-tree wavelet transform (DTWT)-based current control for grid-following mode.
- Utilization of a synchronizing controller for smooth transition to voltage control in grid-forming mode.
- Development of an innovative battery control strategy linked to PV maximum power point tracking (MPPT) and governed by the AAC scheme.
Main Results:
- Software validation showed significant PQ enhancement with DTWT-AAC, reducing total harmonic distortion (THD) by up to 99.82% and achieving synchronization times as low as 0.02 s.
- Real-time validation demonstrated DTWT-AAC reducing THD from 5.3% to 1.9% and improving synchronization response time from 0.9 s to 0.2 s compared to DWT-AC.
- The proposed AAC method proved superior in PQ, dynamic stability, and robustness during inverter failure, generation variations, and mode transitions.
Conclusions:
- The proposed DTWT-AAC technique offers superior performance for HMGs, enhancing power quality and dynamic stability.
- The synchronizing controller effectively manages operational mode transitions, ensuring system robustness.
- The developed control strategy is highly suitable for real-time applications and future grid-integrated microgrid deployments.
Keywords:
Advanced adaptive controller (AAC)Dual-tree wavelet transform (DTWT)Energy management (EM)Hybrid microgrid (HMG)Power quality (PQ)More Related Videos
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