The impact of ancillary services in optimal DER investment decisions
Journal Article
·
· Energy (Oxford)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Center for Energy and Innovative Technologies (CET), Hofamt Priel (Austria)
- Chalmers Univ. of Technology, Goeteborg (Sweden)
Microgrid resource sizing problems typically include the analysis of a combination of value streams such as peak shaving, load shifting, or load scheduling, which support the economic feasibility of the microgrid deployment. However, microgrid benefits can go beyond these, and the ability to provide ancillary grid services such as frequency regulation or spinning and non-spinning reserves is well known, despite typically not being considered in resource sizing problems. This paper proposes the expansion of the Distributed Energy Resources Customer Adoption Model (DER-CAM), a state-of-the-art microgrid resource sizing model, to include revenue streams resulting from the participation in ancillary service markets. Results suggest that participation in such markets may not only influence the optimum resource sizing, but also the operational dispatch, with results being strongly influenced by the exact market requirements and clearing prices.
- Research Organization:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Office of Electricity (OE); USDOE Office of Electricity Delivery and Energy Reliability (OE)
- Grant/Contract Number:
- AC02-05CH11231
- OSTI ID:
- 1393620
- Alternate ID(s):
- OSTI ID: 1397081
- Journal Information:
- Energy (Oxford), Journal Name: Energy (Oxford) Journal Issue: C Vol. 130; ISSN 0360-5442
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Optimal microgrid planning for enhancing ancillary service provision
|
journal | June 2019 |
Input data reduction for microgrid sizing and energy cost modeling: Representative days and demand charges
|
journal | November 2019 |
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