Abstract
In deregulated electricity markets, there exist multiple markets of different time scales, e.g., forward markets and spot markets. When Internet data center operators only procure energy from spot markets, they can save energy cost by fully exploiting the temporal and spatial variations of spot prices. Meanwhile, prices in spot markets and workloads are volatile, and forecasted prices and workloads tend to be less accurate with the increase of planning horizon, consequently, the future energy cost of Internet data centers is full of uncertainty (or randomness), which is a risk for Internet data center operators since they may experience high probability of having high energy cost in the future. Thus, in this chapter, we consider the risk-constrained operation for Internet data centers in deregulated electricity markets and propose a stochastic programming-based decision framework to decide the optimal quantity of electricity that should be purchased in forward markets given the risk preference of Internet data center operators.
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A time-slotted system is considered in this chapter, where each slot represents a time interval in a given delivery period of EFCs, e.g., 1 h.
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http://www.nyiso.com/public/index.jsp, Sept. 2013.
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http://www.ercot.com/mktinfo/, Sept. 2013.
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http://ita.ee.lbl.gov/html/contrib/WorldCup.html, Sept. 2013.
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Jiang, T., Yu, L., Cao, Y. (2015). Risk-Constrained Operation for Internet Data Centers in Deregulated Electricity Markets. In: Energy Management of Internet Data Centers in Smart Grid. Green Energy and Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45676-7_5
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DOI: https://doi.org/10.1007/978-3-662-45676-7_5
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