Lyapunov Compatibility-Based Adaptive Consensus Algorithm in PV-BESS Integrated Island DC Microgrids: A Dynamic State of Charge Balancing
Li, Boxi, Yang, Jun, and Huang, Tao (2026) Lyapunov Compatibility-Based Adaptive Consensus Algorithm in PV-BESS Integrated Island DC Microgrids: A Dynamic State of Charge Balancing. IEEE Transactions on Sustainable Energy. (In Press)
|
PDF (Published Version)
- Published Version
Restricted to Repository staff only |
Abstract
This paper proposes a novel State-of-Charge (SoC)- based power allocation strategy for photovoltaic (PV)-based DC microgrids, leveraging an adaptive consensus algorithm to ensure SoC balance across Battery Energy Storage System (BESS) nodes. The primary control scheme employs inner-loop current droop control to mitigate disturbances arising from PV operation. The SoC-based power allocation strategy serves as a secondary control mechanism, designed to maintain a uniform SoC level across all BESS nodes via the adaptive consensus algorithm. This algorithm is compatible with a range of secondary control types, thereby mitigating battery degradation. Specifically, the stability and compatibility of the SoC-based power allocation strategy are rigorously proven by constructing a Lyapunov function. The proposed control strategy is simulated in MATLAB/SIMULINK and in an OPAL-RT-based real-time simulation environment to demonstrate its effectiveness, in which the proposed adaptive consensus algorithm can accommodate two different secondary control strategies.
| Item ID: | 91695 |
|---|---|
| Item Type: | Article (Research - C1) |
| ISSN: | 1949-3037 |
| Keywords: | Consensus algorithm, DC microgrid, Distributed power allocation, Lyapunov stability, SoC balancing |
| Copyright Information: | © 2026 IEEE. All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies. |
| Date Deposited: | 24 Aug 2026 03:54 |
| FoR Codes: | 40 ENGINEERING > 4008 Electrical engineering > 400804 Electrical energy storage @ 100% |
| SEO Codes: | 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280110 Expanding knowledge in engineering @ 100% |
| Downloads: |
Total: 1 Last 12 Months: 1 |
| More Statistics |
