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  • https://doi.org/10.1080/01430750.2025.2452245Copy DOI Icon

Power management and adaptive control method for a standalone distributed generation system under fault, DC-offset, and dynamic environments

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Abstract

This paper proposes a robust design for a standalone Distributed Generation (DG) system based on wind, solar photovoltaic (PV), and battery storage to serve isolated or off-grid applications. The system employs an Adaptive Normalized Least Mean Absolute Third (ANLMAT) algorithm to construct an adaptive controller that optimises synchronisation between Renewable Energy Sources (RESs) and the load, enhancing the overall reliability and Power Quality (PQ) of the system. The ANLMAT algorithm with a Voltage Source Converter (VSC) provides support at the Point of Common Coupling (PCC) by balancing loads, reducing harmonics, and improving PQ. The results confirmed the proposed system achieved a Total Harmonic Distortion (THD) of 3.29%, well below the IEEE-519 standard limit of 5%, confirming its capability to maintain PQ standards. The system architecture integrates a battery and a Maximum Power Point Tracking (MPPT)-enabled PV system at the VSC's DC link. The battery storage manages power by absorbing excess energy during periods of low demand and supplying additional power during peak demand. Under dynamic conditions, such as fluctuations in unbalanced loads, solar irradiance, and wind speeds, the ANLMAT-based control shows superior stability, synchronisation, and energy management compared to existing control approaches, including SRF-PLL and LMS algorithms.

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