The Impact of Short-Term Stochastic Variability in Solar Irradiance on Optimal Microgrid Design

This paper proposes a new methodology to capture the impact of fast moving clouds on utility power demand charges observed in microgrids with photovoltaic (PV) arrays, generators, and electrochemical energy storage. It consists of a statistical approach to introduce sub-hourly events in the hourly e...

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Bibliographic Details
Published in:IEEE transactions on smart grid 2018-05, Vol.9 (3), p.1647-1656
Main Authors: Schittekatte, Tim, Stadler, Michael, Cardoso, Goncalo, Mashayekh, Salman, Sankar, Narayanan
Format: Article
Language:English
Subjects:
Batteries
Computational modeling
Density estimation robust algorithm
distributed generation
Investment
Microgrids
mixed integer linear programming (MILP)
photovoltaic cells
Resistance heating
Solar heating
Stochastic processes
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Summary:This paper proposes a new methodology to capture the impact of fast moving clouds on utility power demand charges observed in microgrids with photovoltaic (PV) arrays, generators, and electrochemical energy storage. It consists of a statistical approach to introduce sub-hourly events in the hourly economic accounting process. The methodology is implemented in the distributed energy resources customer adoption model (DER-CAM), a state of the art mixed integer linear model used to optimally size DER in decentralized energy systems. Results suggest that previous iterations of DER-CAM could undersize battery capacities. The improved model depicts more accurately the economic value of PV as well as the synergistic benefits of pairing PV with storage.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2016.2596709