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Multi-Time Scale Coordinated Control and Scheduling of Inverter-Based TCLs With Variable Wind Generation

Meng Song, Wei Sun, Mohammad Shahidehpour, Mingyu Yan, Ciwei Gao

2020IEEE Transactions on Sustainable Energy36 citationsDOIOpen Access PDF

Abstract

To address microgrid tie flow errors caused by wind generation variability, this paper proposes and develops a multi-time scale coordinated control and scheduling strategy for inverter-based thermostatically controlled loads (TCLs). First, in hour-time scale, inverter-based TCLs with adjusting temperature set-point are modeled as virtual generators to compensate tie flow deviations in the day-ahead plan. Next, in minute-time scale, virtual batteries representing operating behaviors of inverter -based TCLs with frequency control are scheduled determined by the control of virtual generators in hour-time scale. The virtual batteries are scheduled to smooth out tie flow errors corresponding to day-ahead plan and hour-time scale schedules. The multi-time scale control methods are coordinated to employ the response potential of inverter-based TCLs and response curve-based methods are proposed to control inverter-based TCLs considering the customer privacy. The multi-time scale stochastic schedules which are based on response curves of inverter-based TCLs are coordinated to accommodate wind generation variability. Simulation results demonstrate that the microgrid tie flow errors are effectively mitigated by the proposed multi-time scale coordinated control and scheduling of inverter-based TCLs.

Topics & Concepts

MicrogridInverterControl theory (sociology)Scheduling (production processes)EngineeringComputer scienceWind powerControl engineeringControl (management)Renewable energyVoltageElectrical engineeringArtificial intelligenceOperations managementSmart Grid Energy ManagementMicrogrid Control and OptimizationOptimal Power Flow Distribution
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