A Predictive Energy Management System Using Pre-Emptive Load Shedding for Islanded Photovoltaic Microgrids

This paper presents an energy management system (EMS) for an islanded microgrid with photovoltaic generation and battery storage. The system uses a predictive approach to set operational schedules in order to minimize system-wide outages in the microgrid, specifically through pre-emptive load sheddi...

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Bibliographic Details
Published inIEEE transactions on industrial electronics (1982) Vol. 64; no. 7; pp. 5440 - 5448
Main Authors Michaelson, Dennis, Mahmood, Hisham, Jin Jiang
Format Journal Article
LanguageEnglish
Published New York IEEE 01.07.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Batteries
Communications systems
Complex systems
Computer simulation
Distributed generation
Electric power grids
Energy management
Energy storage
Internal energy
load management
Load shedding
Mathematical models
Microgrids
Outages
photovoltaic (PV) systems
Photovoltaic systems
Predictions
Schedules
State of charge
TCP/IP (protocol)
Weather forecasting
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Summary:This paper presents an energy management system (EMS) for an islanded microgrid with photovoltaic generation and battery storage. The system uses a predictive approach to set operational schedules in order to minimize system-wide outages in the microgrid, specifically through pre-emptive load shedding. Four-times daily updated online weather forecasts are combined with the photovoltaic system model to predict energy production over a 48 h period. These predictions are used, along with load forecasts and a model of the energy storage system, to predict the state-of-charge and characterize potential upcoming outages. Outage mitigation actions using pre-emptive load shedding are then planned and executed to avoid outages or minimize the duration of unavoidable outages. The approach also features bounds on the battery state-of-charge to account for uncertainties in the estimate of the stored energy. The EMS has been implemented using an event-driven framework with TCP/IP communication, which is modular and extensible to more complex system configurations. The approach has been validated through simulations and experiments, which demonstrate its feasibility and potential, for the chosen test scenario, to reduce the outage duration by 87% to 100%.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2017.2677317