A Q-learning based electric vehicle scheduling technique in a distribution system for power loss curtailment

Electric vehicles (EVs) are becoming more common in the distribution network (DN), which burdens the system throughout the charging cycle. However, if EVs are used to assist the utility according to its demands, the scenario turns profitable. In this paper, a new methodology to schedule the EVs and...

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Veröffentlicht in:	Sustainable computing informatics and systems Jg. 36; S. 100798
Hauptverfasser:	Velamuri, Suresh, Kantipudi, MVV Prasad, Sitharthan, R, Kanakadhurga, Dharmaraj, Prabaharan, Natarajan, Rajkumar, A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.12.2022
Schlagworte:	Distributed generation (DG) Electric vehicles (EVs) Enhanced grasshopper optimization (EGOA) Loss sensitivity factor (LSF) Enhanced grasshopper optimization (EGOA) Electric vehicles (EVs) Distributed generation (DG) Loss sensitivity factor (LSF)
ISSN:	2210-5379
Online-Zugang:	Volltext
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