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IEEE Transactions on Power Systems
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Minimizing Unserved Energy Using Heterogeneous Storage Units

Authors: Michael P. Evans; Simon H. Tindemans; David Angeli;

Minimizing Unserved Energy Using Heterogeneous Storage Units

Abstract

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.

Countries
Netherlands, United Kingdom, Italy
Keywords

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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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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23
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