Power Flow Management With Q-Learning for a Grid Integrated Photovoltaic and Energy Storage System

This article develops a fuzzy Q-learning (FQL) approach-based power flow management algorithm for a single-phase grid-connected (GC) photovoltaic (PV) system with an energy storage unit (ESU). The FQL coordinates the PV power generation, which is based on the mission profile, the state of charge (SO...

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Veröffentlicht in:	IEEE journal of emerging and selected topics in power electronics 2022-10, Vol.10 (5), p.5762-5772, Article 5762
Hauptverfasser:	Khan, Mohammed Ali, Haque, Ahteshamul, Kurukuru, V. S. Bharath
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Batteries Energy management Energy management system Energy storage grid-connected (GC) Inverters Load flow Machine learning Microgrids photovoltaic (PV) systems Photovoltaic cells Power flow standalone (SA) State of charge Storage units transition control Voltage control
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