On the marginal value of electricity storage
- Cornell Univ., Ithaca, NY (United States). School of Electrical and Computer Engineering
- Univ. of California, Irvine, CA (United States). Dept. of Electrical Engineering and Computer Science
- Univ. of California, Berkeley, CA (United States). Dept. of Electrical Engineering and Computer Science
We investigate the problem of characterizing the economic value of energy storage capacity to a wind power producer (WPP) that sells its energy in a conventional two-settlement electricity market. The WPP can offer a forward contract to supply power in the day-ahead market, subject to financial penalties for imbalances between the contracted power and the power that is delivered in real-time. We consider the setting in which the WPP has access to a co-located energy storage system, and can thus reshape its wind power production subject to its storage capacity constraints. Modeling wind power as a random process, we show that the problem of determining optimal forward contract offerings—given recourse with storage—is convex. We further establish that the maximum expected profit is concave and non-decreasing in the energy storage capacity, which reveals that the greatest marginal benefit from energy storage is derived from initial investment in small storage capacity. We provide a characterization of the marginal value of small energy storage capacity to the WPP. The formulae we derive shed light on the relationship between the value of storage and certain statistical measures of variability in the underlying wind power process.
- Research Organization:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC)
- Grant/Contract Number:
- AC02-05CH11231
- OSTI ID:
- 1571135
- Journal Information:
- Systems & Control Letters, Vol. 123, Issue C; ISSN 0167-6911
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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