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Optimal Power Management Strategy for energy storage with stochastic loads
Stefano Pietrosanti
, William Holderbaum
,
Victor Becerra
University of Reading
Research output
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Contribution to journal
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Article
›
peer-review
201
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INIS
power
100%
management
100%
stochastic processes
100%
energy storage
100%
cost
75%
control
75%
energy
50%
ports
50%
cranes
50%
operation
25%
range
25%
distribution
25%
storage
25%
maintenance
25%
rubbers
25%
energy costs
25%
energy consumption
25%
randomness
25%
peak power
25%
energy sources
25%
energy storage systems
25%
flywheel energy storage
25%
power demand
25%
Engineering
Power Management
100%
Energy Storage
100%
Control Strategy
66%
Power Flow
33%
Peak Power
33%
Primary Energy Source
33%
Numerical Calculation
33%
Flywheel Energy Storage System
33%
Test Cycle
33%
Initial Condition
33%
Statistical Distribution
33%
Optimality
33%
Cost Function
33%