Increasing the Value of Wind with Energy Storage
By Ramteen Sioshansi. 2011
115 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Finance
View Paper: https://www.semanticscholar.org/paper/74c173b84f1703a3e73d589e2a1efaa74392078f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- Ramteen Sioshansi
- Paul Denholm
- T. Jenkin
- Warrren B Powell
- Daniel R. Jiang
- Vincenzo Marano
- Xiaomin Xi
- Konstantinos Chalvatzis
In Finance
- T. Jenkin
- Warrren B Powell
- Daniel R. Jiang
- Paul Denholm
- Stefano Cló
- Alessandra Cataldi
- Pietro Zoppoli
- Ramteen Sioshansi
Citations in the corpus
- Emissions Savings from Wind Power Generation in Texas (2013, background): “4 Other studies have considered the use of hydropower (Benitez et al. 2008) or compressed air storage (Decarolis and Keith 2006; Denholm et al. 2005; Sioshansi 2011) as non-fossil backup generation when wind power production declines.”
- Market and Policy Barriers to Deployment of Energy Storage (2012, methodology): “Sioshansi (2010, 2011); Schill and Kemfert (2011) further demonstrate that storage can have negative social welfare impacts, depending upon market structure, that would not be fully captured by the competitive assumption.”
- Optimal Hour-Ahead Bidding in the Real-Time Electricity Market with Battery Storage Using Approximate Dynamic Programming (2014, methodology): “Walawalkar et al. (2007) provides an economic analysis of using a storage device for both energy arbitrage (using a simple “charge-off-peak and discharge-on-peak” policy) and frequency regulation in the New York area.”
- A stochastic dynamic programming model for co-optimization of distributed energy storage (2013, background): “This includes the use of storage to mitigate renewable variability and uncertainty [26, 1,15]; the economic and emissions impacts of storage and renewables [6,17,32, 31]; and using storage to reduce the need for dedicated transmission to deliver renewable energy to load centers [7,33].”
- The Market Value of Variable Renewables (2013, unknown): “Twomey and Neuhoff (2010), Green and Vasilakos (2010), and Sioshansi (2011) analyze VRE market value in the context of market power of conventional generators, applying Cournot or supply function equilibrium theory.”
- The Merit-Order Effect in the Italian Power Market: The Impact of Solar and Wind Generation on National Wholesale Electricity Prices (2015, background): “This evidence seems to be consistent with Sioshansi (2011) and Haas et al.”
- Modeling of financial incentives for investments in energy storage systems that promote the large-scale integration of wind energy (2013, background): “In this context, use of appropriate energy storage technologies to support wind power through the elimination of intermittent energy production could both balance wind energy production and assign some indisputable social welfare attributes to the role of energy storage [34].”