Survey of Technology Developments in Flywheel Attitude Control and Energy Storage Systems

2009 ◽  
Vol 32 (2) ◽  
pp. 354-365 ◽  
Author(s):  
V. Lappas ◽  
D. Richie ◽  
C. Hall ◽  
J. Fausz ◽  
B. Wilson
Keyword(s):  
Energy Storage ◽  
Attitude Control ◽  
Storage Systems ◽  
Energy Storage Systems

Erratum for "Survey of Technology Developments in Flywheel Attitude Control and Energy Storage Systems"

2010 ◽  
Vol 33 (1) ◽  
pp. 286-286 ◽  
Author(s):  
V. Lappas ◽  
D. Riche ◽  
C. Hall ◽  
J. Fausz ◽  
B. Wilson
Keyword(s):  
Energy Storage ◽  
Attitude Control ◽  
Storage Systems ◽  
Energy Storage Systems

H∞ Control Approach to Reduction of Energy Capacity of Energy Storage Systems

2017 ◽  
Vol 137 (8) ◽  
pp. 596-597
Author(s):  
Kenta Koiwa ◽  
Kenta Suzuki ◽  
Kang-Zhi Liu ◽  
Tadanao Zanma ◽  
Masashi Wakaiki ◽  
...  
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Energy Capacity ◽  
Energy Storage Systems ◽  
Control Approach

MULTISCALE THERMAL TRANSPORT IN SOLAR THERMOCHEMICAL ENERGY STORAGE SYSTEMS

2018 ◽  
Author(s):  
Like Li ◽  
Kelvin Randhir ◽  
James F. Klausner ◽  
Ren-Wei Mei ◽  
Nick AuYeung
Keyword(s):  
Energy Storage ◽  
Thermal Transport ◽  
Storage Systems ◽  
Energy Storage Systems ◽  
Solar Thermochemical

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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