2024 : 5 : 4
Navid Rezaei

Navid Rezaei

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 9870
Faculty: Faculty of Engineering
Address: Basdaran Bolvar, Kuridstan University, Faculty of Engineering, Electrical Engineering Department, Room 206
Phone: 087-33660073

Research

Title
A new stochastic gain adaptive energy management system for smart microgrids considering frequency responsive loads
Type
JournalPaper
Keywords
,Hierarchical control structure ,Islanded microgrids ,Droop gain scheduling ,Frequency responsive loads Two-stage stochastic optimization
Year
2020
Journal Energy Reports
DOI
Researchers Navid Rezaei ، Mohammadreza Mazidi ، Mehrdad Gholami ، Maryam Mohiti

Abstract

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.