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Open-source multi-year power generation, consumption, and storage data in a microgrid

Sushil Silwal, Colton Mullican, Yi‐An Chen, Avik Ghosh, John Dilliott, Jan Kleissl

2021Journal of Renewable and Sustainable Energy46 citationsDOIOpen Access PDF

Abstract

Open-source, high resolution power consumption data are scarce. We compiled, quality controlled, and released publicly a comprehensive power dataset of parts of the University of California, San Diego microgrid. The advanced microgrid contains several distributed energy resources (DERs), such as solar power plants, electric vehicles, buildings, a combined heat and power gas-fired power plant, and electric and thermal storage. Most datasets contain 15-min averages of real and reactive power from 1 January, 2015 until 29 February, 2020. We also include Python codes to fill missing data and flag and replace potentially erroneous data. The extensive dataset of conventional and new DERs is designed to accelerate research and development work in the area of sustainable microgrids.

Topics & Concepts

MicrogridDistributed generationPython (programming language)Computer scienceElectric powerElectricity generationThermal energy storageEnergy storageReliability engineeringRenewable energyAutomotive engineeringEngineeringElectrical engineeringPower (physics)Operating systemPhysicsBiologyEcologyQuantum mechanicsSmart Grid Energy ManagementMicrogrid Control and OptimizationElectric Vehicles and Infrastructure
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