scholarly journals Assessment of Energy Storage Alternatives in the Puget Sound Energy System Volume 2: Energy Storage Evaluation Tool

2013 ◽  
Author(s):  
Di Wu ◽  
Chunlian Jin ◽  
Patrick J. Balducci ◽  
Michael CW Kintner-Meyer
Keyword(s):  
Energy Storage ◽  
Puget Sound ◽  
Energy System ◽  
Evaluation Tool ◽  
Sound Energy ◽  
Energy System Volume ◽  
System Volume

scholarly journals Assessment of Energy Storage Alternatives in the Puget Sound Energy System

2013 ◽  
Author(s):  
Patrick J. Balducci ◽  
Chunlian Jin ◽  
Di Wu ◽  
Patrick Leslie ◽  
Charles Daitch ◽  
...  
Keyword(s):  
Energy Storage ◽  
Puget Sound ◽  
Energy System ◽  
Sound Energy

scholarly journals Grid Connected Integrated Community Energy System. Volume 1. Summary and demonstration site description. Final report, Phase I, February 1, 1977-May 31, 1977

1977 ◽  
Author(s):  
W.E. Soderberg ◽  
J.C. O'Gara ◽  
R.A. Reid ◽  
R. Lewis ◽  
M. Ervasti ◽  
...  
Keyword(s):  
Phase I ◽  
Energy System ◽  
Final Report ◽  
Demonstration Site ◽  
Energy System Volume ◽  
System Volume

scholarly journals Puget Sound Energy Glacier Energy Storage System - An Assessment of Battery Technical Performance

2019 ◽  
Author(s):  
Aladsair Crawford ◽  
Vilayanur Viswanathan ◽  
Charles Vartanian ◽  
Kendall Mongird ◽  
Md Jan Alam ◽  
...  
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Puget Sound ◽  
Energy Storage System ◽  
Sound Energy ◽  
Technical Performance

Designing the Electricity Market with Energy Storage Devices

2020 ◽  
Vol 12 (12) ◽  
pp. 31-43
Author(s):  
Tatiana A. VASKOVSKAYA ◽  
◽  
Boris A. KLUS ◽  
Keyword(s):  
Energy Storage ◽  
Electricity Market ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Storage Systems ◽  
Energy System ◽  
Energy Storage Systems ◽  
Storage Model ◽  
Optimal Power ◽  
Wide Range

The development of energy storage systems allows us to consider their usage for load profile leveling during operational planning on electricity markets. The paper proposes and analyses an application of an energy storage model to the electricity market in Russia with the focus on the day ahead market. We consider bidding, energy storage constraints for an optimal power flow problem, and locational marginal pricing. We show that the largest effect for the market and for the energy storage system would be gained by integration of the energy storage model into the market’s optimization models. The proposed theory has been tested on the optimal power flow model of the day ahead market in Russia of 10000-node Unified Energy System. It is shown that energy storage systems are in demand with a wide range of efficiencies and cycle costs.

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