Economics of electric energy storage for energy arbitrage and regulation in New York
By R. Walawalkar, Jay Apt, R. Mancini. 2007
525 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering, Energy Engineering and Power Technology
View Paper: https://www.semanticscholar.org/paper/22f66e5e6b2e39c559cf39039cb91b69168bb4a8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Johanna L. Mathieu
- Göran Andersson
- John Lygeros
- Mohammad Shahidehpour
- Duncan S. Callaway
- James D. McCalley
- Ramteen Sioshansi
- Xiaomin Xi
In Electrical and Electronic Engineering
- Ramteen Sioshansi
- Brian Vad Mathiesen
- Paul Denholm
- Henrik Lund
- D. Connolly
- T. Jenkin
- Vincenzo Marano
- Xiaomin Xi
In Energy Engineering and Power Technology
- Brian Vad Mathiesen
- Henrik Lund
- D. Connolly
- T. Jenkin
- Mohammad Shahidehpour
- Ramteen Sioshansi
- Xiaomin Xi
- Paul Denholm
Citations in the corpus
- The value of compressed air energy storage with wind in transmission-constrained electric power systems (2009, unknown): “5 See Walawalkar et al. (2007) for additional discussion of the value of”
- Practical operation strategies for pumped hydroelectric energy storage (PHES) utilising electricity price arbitrage (2011, background): “Sioshansi et al. (2009) investigated the arbitrage value of small-scale energy storage for the PJM market in the USA, while Walawalkar et al. (2007) analysed the potential of sodium sulphur batteries and flywheel energy storage systems in New York state’s electricity market.”
- Electric energy storage systems in a market-based economy: Comparison of emerging and traditional technologies (2009, background): “Electric Energy Storage (EES) is the capability of storing electricity or energy to produce electricity and releasing it for use during other periods when its utilization is more beneficial [1].”
- Co-optimization of electricity transmission and generation resources for planning and policy analysis: review of concepts and modeling approaches (2016, background): “However, if an off-line assessment of the required MW capacity for ancillary services is estimated and represented in the long-term investment planning tool [59], then by assuming a pre-specified capacity factor, such devices’ capacity [60] could be considered as decision variables in the overall po”
- A multi-scale optimization framework for electricity market participation (2017, background): “Several other papers consider simultaneous sale of energy and ancillary services in the day-ahead market alone [41,49,55,45,40] or analyze only regulation revenues [3,44].”
- Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains (2017, background): “In [14], the authors analyze the economics of using storage device for both energy arbitrage and frequency regulation service.”
- Economic assessment of concentrated solar power technologies: A review (2017, background): “potentials for other renewable energy storage technologies, including batteries [65–70], flywheels [67], underground pumped-hydro [66] and generic electrical energy storage [71], selling energy and/or ancillary services in competitive electricity markets.”
- Market and Policy Barriers to Deployment of Energy Storage (2012, background): “For example, many studies focus mainly on energy arbitrage, examples of which include the works of Graves et al. (1999); Figueiredo et al. (2006); Walawalkar et al. (2007); Sioshansi et al. (2009); Sioshansi (2010); Sioshansi et al. (2011); Schill and Kemfert (2011).”
- A stochastic dynamic programming model for co-optimization of distributed energy storage (2013, methodology): “[39] analyze the value of AS and arbitrage, they do not employ an optimization method in their analysis.”