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An Energy Management Framework with Two-Stage Power Allocation Strategies for Electric-Hydrogen Energy Storage Systems

Yuzhen Tang, Hengzhao Yang, Qian Xun, Marco Liserre

202312 citationsDOI

Abstract

As the penetration of distributed energy resources keeps growing, energy storage is becoming an increasingly critical asset in power grids. For a specific application scenario, how to leverage the complementary characteristics of different energy storage technologies is challenging. This paper proposes a rule-based energy management framework featuring two-stage power allocation strategies for electric-hydrogen energy storage systems in the context of microgrids with renewable energy resources. The system employs a short-term supercapacitor technology and a long-term hydrogen technology. Ten operation modes of the framework are identified and analyzed. Two-stage strategies including adaptive power allocation and second power allocation are developed to distribute the high-frequency and low-frequency components of the power to the electric and hydrogen systems, respectively. Simulation results verify the operation of the framework and demonstrate the effectiveness of the two-stage strategies.

Topics & Concepts

Energy storageComputer scienceRenewable energyElectric power systemDistributed generationPower to gasEnergy managementLeverage (statistics)Hydrogen storageContext (archaeology)Pumped-storage hydroelectricityElectric powerReliability engineeringPower (physics)Energy (signal processing)Electrical engineeringEngineeringHydrogenPhysicsOrganic chemistryBiologyChemistryQuantum mechanicsPaleontologyElectrolysisMathematicsElectrodeMachine learningStatisticsElectrolytePhysical chemistryMicrogrid Control and OptimizationHybrid Renewable Energy SystemsFrequency Control in Power Systems