A multivariable optimal energy management strategy for standalone DC microgrids

Arash M. Dizqah, Alireza Maheri, Krishna Busawon, Azadeh Kamjoo

Research output: Contribution to journalArticle

59 Citations (Scopus)

Abstract

Due to substantial generation and demand fluctuations in standalone green microgrids, energy management strategies are becoming essential for the power sharing and voltage regulation purposes. The classical energy management strategies employ the maximum power point tracking (MPPT) algorithms and rely on batteries in case of possible excess or deficit of energy. However, in order to realize constant current-constant voltage (IU) charging regime and increase the life span of batteries, energy management strategies require being more flexible with the power curtailment feature. In this paper, a coordinated and multivariable energy management strategy is proposed that employs a wind turbine and a photovoltaic array of a standalone DC microgrid as controllable generators by adjusting the pitch angle and the switching duty cycles. The proposed strategy is developed as an online nonlinear model predictive control (NMPC) algorithm. Applying to a sample standalone dc microgrid, the developed controller realizes the IU regime for charging the battery bank. The variable load demands are also shared accurately between generators in proportion to their ratings. Moreover, the DC bus voltage is regulated within a predefined range, as a design parameter.
Original languageEnglish
Pages (from-to)2278-2287
Number of pages10
JournalIEEE Transactions on Power Systems
Volume30
Issue number5
Early online date8 Oct 2014
DOIs
Publication statusPublished - Sep 2015

Keywords

  • battery management
  • generation curtailment
  • maximum power point tracking (MPPT)
  • nonlinear model predictive control (NMPC)
  • power sharing
  • renewable energy
  • voltage regulation

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