Distributed Smart Decision-Making for a Multimicrogrid System Based on a Hierarchical Interactive Architecture

Mousa Marzband, Narges Parhizi, Mehdi Savaghebi, Josep M. Guerrero

Research output: Contribution to journalJournal articleResearchpeer-review

97 Citations (Scopus)
969 Downloads (Pure)

Abstract

In this paper, a comprehensive real-time interactive EMS framework for the utility and multiple electrically-coupled MGs is proposed. A hierarchical bi-level control scheme-BLCS with primary and secondary level controllers is applied in this regard. The proposed hierarchical architecture consists of sub-components of load demand prediction, renewable generation resource integration, electrical power-load balancing and responsive load demand-RLD. In the primary-level, EMSs are operating separately for each MG by considering the problem constraints, power set-points of generation resources and possible shortage or surplus of power generation in the MGs. In the
proposed framework, minimum information exchange is required among MGs and the distribution system operator. It is a highly desirable feature in future distributed EMS. Various parameters such as load demand and renewable power generation are treated as uncertainties in the proposed structure. In order to handle the uncertainties, Taguchi0s orthogonal array testing-TOAT approach is utilized. Then, the shortage or surplus of the MGs power should be submitted to a central EMS-CEMS in the secondary-level. In order to validate the proposed control structure, a test system is simulated and optimized based on multi-period imperialist competition algorithm- MICA. The obtained results clearly show that the proposed BLCS is effective in achieving optimal dispatch of generation resources in systems with multiple MGs.
Original languageEnglish
JournalI E E E Transactions on Energy Conversion
Volume31
Issue number2
Pages (from-to)637 - 648
Number of pages12
ISSN0885-8969
DOIs
Publication statusPublished - Jun 2016

Keywords

  • Bi-level stochastic programming
  • Tagochi algorithm
  • Responsive load demand
  • Optimal scheduling
  • Optimal energy management system
  • Multiple Microgrid
  • Demand response
  • Imperialist competition algorithm

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