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

Navid Rezaei, Mohammadreza Mazidi, Mehrdad Gholami, Maryam Mohiti

2020Energy Reports28 citationsDOIOpen Access PDF

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.

Topics & Concepts

MicrogridDemand responseVoltage droopEnergy managementStochastic programmingComputer scienceDistributed generationSmart gridScheduling (production processes)Integer programmingTime horizonMathematical optimizationLinear programmingControl engineeringControl theory (sociology)Renewable energyEnergy (signal processing)EngineeringControl (management)ElectricityVoltageElectrical engineeringVoltage regulatorMathematicsStatisticsArtificial intelligenceAlgorithmMicrogrid Control and OptimizationSmart Grid Energy ManagementOptimal Power Flow Distribution
A new stochastic gain adaptive energy management system for smart microgrids considering frequency responsive loads | Litcius