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A new stochastic gain adaptive energy management system for smart microgrids considering frequency responsive loads

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Veröffentlicht in: Energy reports 6(2020) vom: Nov., Seite 914-932
Personen und Körperschaften: Rezaei, Navid (VerfasserIn), Mazidi, Mohammadreza (VerfasserIn), Gholami, Mehrdad (VerfasserIn), Mohiti, Maryam (VerfasserIn)
Titel: A new stochastic gain adaptive energy management system for smart microgrids considering frequency responsive loads/ Navid Rezaei, Mohammadreza Mazidi, Mehrdad Gholami, Maryam Mohiti
Format: E-Book-Kapitel
Sprache: Englisch
veröffentlicht:
2020
Gesamtaufnahme: : Energy reports, 6(2020) vom: Nov., Seite 914-932
, volume:6
Schlagwörter:
Quelle: Verbunddaten SWB
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Zusammenfassung: Islanded microgrids as flexible, adaptive and sustainable smart cells of distribution power systems should be operated in accordance to both techno-economic purposes. Motivated by this need, the microgrid operators are in charge to elevate the active accommodation of both demand-side and supply-side distributed energy resources. To that end, in this paper, a new flexible frequency dependent energy management system is proposed through which distributed generators have time varying droop controllers with a gain-adaptive strategy. Besides to cope economically with uncertainty arise frequency excursions, a new, comfort-aware and versatile frequency dependent demand response program is mathematically formulated and conducted to the energy management system. It is aimed to co-optimize the microgrid energy resources such a way the day-ahead operational costs are managed subject to a secure frequency control portfolio. The presented model is solved using a two-stage stochastic programming and by a tractable efficient mixed integer linear programming approach. The simulation results are derived in 24-h scheduling time horizon and implemented on a typical test microgrid. The effectiveness of the proposed hourly gain assignment and frequency responsive load management program has been verified thoroughly by analyzing the results.
ISSN: 2352-4847
DOI: 10.1016/j.egyr.2020.04.021
Zugang: Open Access