The value of compressed air energy storage with wind in transmission-constrained electric power systems

By Paul Denholm, Ramteen Sioshansi. 2009

325 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Environmental Engineering, Pollution

View Paper: https://www.semanticscholar.org/paper/3498c19f526333fe0577e4b2b021e1572fae249b

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Citations in the corpus

The Value of Concentrating Solar Power and Thermal Energy Storage (2010, methodology): “Following [23], we assume an 11% CCR, which gives an annual cost of $7.”
Pumped storage in systems with very high wind penetration (2011, methodology): “This is calculated based on the method described in Doherty and O’Malley (2005), which calculates additional reserve based on a combination of wind and load forecast error.”
Comprehensive review of renewable energy curtailment and avoidance: A specific example in China (2015, background): “Alternatively, co-location of wind and energy storage would increase transmission utilization and decrease transmission costs [74].”
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].”
Effect of Battery Degradation on Multi-Service Portfolios of Energy Storage (2016, background): “Various studies have investigated the ability of energy storage plants to support integration of low carbon generation [1], [2], provide balancing services [3], support energy market operations [4], [5], and alleviate network congestion [6].”
Market and Policy Barriers to Deployment of Energy Storage (2012, background): “(2009, 2011); Drury et al. (2011) demonstrate that storage can face revenue uncertainty, by showing that net arbitrage revenues can vary by a factor of up to five from year to year.”
Residual load, renewable surplus generation and storage requirements in Germany (2014, background): “Denholm and Sioshansi (2009) quantify how wind power revenues decrease due to curtailment in three transmission-constrained U.S. power systems.”
The value of compressed air energy storage in energy and reserve markets (2011, unknown): “Electrical Energy Storage (hours) a Application dependent 20 / [5 – 40] Application dependent 20 / [5 – 40] 1 [16] 2 [14] 3 [15] 4 General Compression, www.”
Increasing the Value of Wind with Energy Storage (2011, background): “For instance, Denholm and Sioshansi (2009) show that it can be economic to use energy storage to reduce transmission requirements for a wind generator.”
A MILP model for optimising multi-service portfolios of distributed energy storage (2015, background): “In this context, [20,21] quantify system-wide benefits across multiple sectors of electricity industry (including generation and transmission network) based on a whole system cost minimisation approach.”
Energy Storage Arbitrage Under Day-Ahead and Real-Time Price Uncertainty (2018, unknown): “Extensive research has been conducted on combined optimization of energy storage and variable renewable generation [4]–[6].”