Stochastic Predictive Energy Management of Multi-Microgrid Systems

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  • Najmeh Bazmohammadi, Aalborg Universitet
  • ,
  • Amjad Anvari Moghaddam, Aalborg Universitet
  • ,
  • Ahmadreza Tahsiri, K.N. Toosi University of Technology
  • ,
  • Ahmad Madary
  • Juan Carlos Vasquez Quintero, Aalborg Universitet
  • ,
  • Josep Maria Guerrero Zapata, Aalborg Universitet
Next-generation power systems will require innovative control strategies to exploit existing and potential capabilities of developing renewable-based microgrids. Cooperation of interconnected microgrids has been introduced recently as a promising solution to improve the operational and economic performance of distribution networks. In this paper, a hierarchical control structure is proposed for the integrated operation management of a multi-microgrid system. A central energy management entity at the highest control level is responsible for designing a reference trajectory for exchanging power between the multi-microgrid system and the main grid. At the second level, the local energy management system of individual microgrids adopts a two-stage stochastic model predictive control strategy to manage the local operation by following the scheduled power trajectories. An optimal solution strategy is then applied to the local controllers as operating set-points to be implemented in the system. To distribute the penalty costs resulted from any real-time power deviation systematically and fairly, a novel methodology based on the line flow sensitivity factors is proposed. Simulation and experimental analyses are carried out to evaluate the effectiveness of the proposed approach. According to the simulation results, by adopting the proposed operation management strategy, a reduction of about 47% in the average unplanned daily power exchange of the multi-microgrid system with the main grid can be achieved.
OriginalsprogEngelsk
Artikelnummer4833
TidsskriftJournal of Applied Sciences
Vol/bind10
Nummer14
Antal sider16
ISSN2076-3417
DOI
StatusUdgivet - jul. 2020

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