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

• Published in: Energy reports Vol. 6; pp. 914 - 932
• Main Authors: Rezaei, Navid, Mazidi, Mohammadreza, Gholami, Mehrdad, Mohiti, Maryam
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier 01.11.2020; Elsevier Ltd
• Subjects: Droop gain scheduling; Frequency responsive loads; Hierarchical control structure; Islanded microgrids; Two-stage stochastic optimization; Droop gain scheduling; Islanded microgrids; Hierarchical control structure; Frequency responsive loads; Two-stage stochastic optimization
• ISSN: 2352-4847; 2352-4847
• DOI: 10.1016/j.egyr.2020.04.021

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.