Lyapunov Based-Distributed Fuzzy-Sliding Mode Control for Building Integrated-DC Microgrid with Plug-in Electric Vehicle

Mohammad Iman Ghiasi, Masoud Aliakbar Golkar, Amin Hajizadeh

Research output: Contribution to journalJournal articleResearchpeer-review

58 Citations (Scopus)
430 Downloads (Pure)

Abstract

This paper presents a distributed control strategy based on Fuzzy-Sliding Mode Control (FSMC) for power control of an infrastructure integrated with a DC-Microgrid, which includes photovoltaic, fuel cell and energy storage systems with Plug-in Electric Vehicles (PEVs). In order to implement the proposed control strategy, first a general nonlinear modeling of a DC-Microgrid based on related DC-DC converters to each DC power sources is introduced. Secondly, a power management strategy based on fuzzy control for regulating the power flow between the hybrid DC sources, PEVs is proposed. Third, to retain the balance between the requested power and the output power, adaptive FSMC strategy, for controlling the battery energy storage and fuel cell are suggested. Finally, Experimental results are presented to validate the potential of the proposed power flow control strategy.
Original languageEnglish
JournalIEEE Access
Volume5
Pages (from-to)7746 - 7752
Number of pages7
ISSN2169-3536
DOIs
Publication statusPublished - Apr 2017

Keywords

  • DC-microgrid
  • Power control
  • Renewable energy
  • Plug-in electric vehicle
  • Fuzzy control
  • Sliding mode control
  • Renewable energy sources

Fingerprint

Dive into the research topics of 'Lyapunov Based-Distributed Fuzzy-Sliding Mode Control for Building Integrated-DC Microgrid with Plug-in Electric Vehicle'. Together they form a unique fingerprint.

Cite this