A Multivariable Optimal Energy Management Strategy for Standalone DC Microgrids

Arash Moradinegade Dizqah, A. Maheri, K. Busawon, A. Kamjoo

Research output: Contribution to journalArticle

46 Citations (Scopus)
15 Downloads (Pure)

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
JournalIEEE Transactions on Power Systems
Volume30
Issue number5
DOIs
Publication statusPublished - 8 Oct 2014

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Energy management
Model predictive control
Electric potential
Voltage control
Wind turbines
Controllers

Bibliographical note

The full text is available from: http://dx.doi.org/10.1109/TPWRS.2014.2360434
© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be
obtained for all other uses, in any current or future media, including
reprinting/republishing this material for advertising or promotional purposes, creating
new collective works, for resale or redistribution to servers or lists, or reuse of any
copyrighted component of this work in other works.

Keywords

  • distributed power generation
  • electric generators
  • energy management systems
  • maximum power point trackers
  • predictive control
  • secondary cells
  • solar cell arrays
  • voltage control
  • wind turbines
  • DC bus voltage
  • IU regime
  • MPPT algorithm
  • NMPC algorithm
  • battery bank
  • battery life span
  • constant current-constant voltage charging regime
  • controllable generator
  • demand fluctuation
  • energy deficit
  • maximum power point tracking algorithm
  • multivariable optimal energy management strategy
  • online nonlinear model predictive control
  • photovoltaic array
  • pitch angle
  • power curtailment feature
  • power sharing
  • standalone DC microgrid
  • standalone green microgrid
  • switching duty cycle
  • variable load demand
  • voltage regulation
  • wind turbine
  • Battery management
  • generation curtailment
  • maximum power point tracking (MPPT)
  • nonlinear model predictive control (NMPC)
  • renewable energy
  • Batteries
  • Energy management
  • Generators
  • Mathematical model
  • Microgrids
  • Voltage control
  • Wind turbines

Cite this

A Multivariable Optimal Energy Management Strategy for Standalone DC Microgrids. / Moradinegade Dizqah, Arash; Maheri, A.; Busawon, K.; Kamjoo, A.

In: IEEE Transactions on Power Systems, Vol. 30, No. 5, 08.10.2014, p. 2278 - 2287.

Research output: Contribution to journalArticle

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