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A Hybrid Power Sharing Control to Enhance the Small Signal Stability in DC Microgrids

Abd Alelah Derbas, Morteza Kheradmandi, Mohsen Hamzeh, Nikos Hatziargyriou

2022IEEE Transactions on Smart Grid35 citationsDOI

Abstract

Low-frequency power oscillations pose serious problems to the operation of Distributed Generations (DGs) equipped with droop control. This paper presents a new hybrid power-sharing control for damping low-frequency power and current oscillations in DC microgrids. The proposed control consists of a decentralized droop control together with a centralized average current sharing control. A small-signal equivalent model is analytically derived for the proposed hybrid control and is incorporated into the DC microgrid model. The parameters of the PI controllers involved in the average current sharing control units are tuned individually to achieve a satisfactory performance in a stand-alone operation of DGs with a local load. The contributions of control signals contained in the hybrid control signal to the damping characteristic are analyzed. The dynamic response of the DC microgrid under a variety of disturbance scenarios is investigated. The power-sharing accuracy of the proposed control is also examined under the investigated scenarios. The method performance is also investigated for the oscillations caused by constant-power loads. Sensitivity analyses are conducted to evaluate the impact of the loading level and line parameters on the damping ratio associated with the dominant low-frequency modes. The effectiveness of the control method is examined in case of losing a number of communication links. The impact of the delay in the communication links on the method performance is also examined. The simulations are conducted on a multi-source DC microgrid, and the results are verified in the OPAL-RT real-time simulator.

Topics & Concepts

MicrogridVoltage droopControl theory (sociology)Small-signal modelPower (physics)Automatic frequency controlPower controlSensitivity (control systems)Power sharingEngineeringStability (learning theory)SIGNAL (programming language)Computer scienceControl (management)Electronic engineeringVoltageVoltage sourceTelecommunicationsElectrical engineeringMachine learningQuantum mechanicsArtificial intelligenceProgramming languagePhysicsMicrogrid Control and OptimizationSmart Grid Energy ManagementFrequency Control in Power Systems
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