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Minimizing Unserved Energy Using Heterogeneous Storage Units

handle: 2158/1179779 , 10044/1/68260
This paper considers the optimal dispatch of energy-constrained heterogeneous storage units to maximise security of supply. A policy, requiring no knowledge of the future, is presented and shown to minimise unserved energy during supply-shortfall events, regardless of the supply and demand profiles. It is accompanied by a graphical means to rapidly determine unavoidable energy shortfalls, which can then be used to compare different device fleets. The policy is well-suited for use within the framework of system adequacy assessment; for this purpose, a discrete time optimal policy is conceived, in both analytic and algorithmic forms, such that these results can be applied to discrete time systems and simulation studies. This is exemplified via a generation adequacy study of the British system.
- Delft University of Technology Netherlands
- Imperial College London United Kingdom
- University of Florence Italy
Technology, 330, WIND POWER, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, optimal control, Engineering, DEMAND RESPONSE, Generation adequacy, FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Coordination of storage devices, OPTIMIZATION, Mathematics - Optimization and Control, Science & Technology, Energy, math.OC, aggregation, Engineering, Electrical & Electronic, cs.SY, 0906 Electrical and Electronic Engineering, Optimization and Control (math.OC), Electrical & Electronic, energy storage systems, INTEGRATION, GENERATION
Technology, 330, WIND POWER, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, optimal control, Engineering, DEMAND RESPONSE, Generation adequacy, FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Coordination of storage devices, OPTIMIZATION, Mathematics - Optimization and Control, Science & Technology, Energy, math.OC, aggregation, Engineering, Electrical & Electronic, cs.SY, 0906 Electrical and Electronic Engineering, Optimization and Control (math.OC), Electrical & Electronic, energy storage systems, INTEGRATION, GENERATION
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