The impact of short-term stochastic variability in solar irradiance on optimal microgrid design
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Pontificia Comillas Univ., Madrid (Spain); Florence School of Regulation, Firenze (Italy)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Center for Energy Innovation Technologies, Hofamt Priel (Austria)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Microgrid Labs, Cary, NC (United States)
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.
- Research Organization:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE
- OSTI ID:
- 1340307
- Report Number(s):
- LBNL--1005860; ir:1005860
- Country of Publication:
- United States
- Language:
- English
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