Optimization of Power Flow in DC Microgrid Connected to Electric Vehicle Charging Station

Sumant Sarmokadam*, Ribu Mathew

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The load on the power grid due to electric charging station is very difficult to predict. The management of load on charging station during peak load condition is very important task to maintain power and voltage stability of the system. The charging infrastructure plays important role for electric vehicles (EVs) promotion. The effective way to manage excess power demand of EVs on charging station during peak load condition is through hybrid power system. This paper discusses the scheme to optimize power flow for DC microgrid connected to charging station. The proposed hybrid system is simulated in MATLAB® Simulink. In simulation, the power flow management for different load conditions on charging station is discussed and voltage across the DC grid is maintained within permissible limit. The simulation result shows that DC microgrid voltage variation is less than ± 0.5% during different load conditions, which addresses the issues related to system voltage stability.

Original languageEnglish
Title of host publicationCognitive Science and Technology
PublisherSpringer
Pages113-120
Number of pages8
DOIs
Publication statusPublished - 2023

Publication series

NameCognitive Science and Technology
ISSN (Print)2195-3988
ISSN (Electronic)2195-3996

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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