Robustly Maximal Utilisation of Energy-Constrained Distributed Resources

Robustly Maximal Utilisation of Energy-Constrained Distributed Resources

Evans, Michael (Imperial College London)
Angeli, David (Imperial College London; University of Florence)
Tindemans, Simon H. (TU Delft Intelligent Electrical Power Grids)

2018-06-11

We consider the problem of dispatching a fleet of distributed energy reserve devices to collectively meet a sequence of power requests over time. Under the restriction that reserves cannot be replenished, we aim to maximise the survival time of an energy-constrained islanded electrical system; and we discuss realistic scenarios in which this might be the ultimate goal of the grid operator. We present a policy that achieves this optimality, and generalise this into a set-theoretic result that implies there is no better policy available, regardless of the realised energy requirement scenario.

distribution networks
reliability analysis
network topology
Monte Carlo simulations

http://resolver.tudelft.nl/uuid:134ee100-05f2-47cd-abee-398fb9a2f7a4

https://doi.org/10.23919/PSCC.2018.8443058

IEEE, Piscataway, NJ

2019-03-02

978-1-910963-10-4

2018 Power Systems Computation Conference (PSCC)

20th Power Systems Computation Conference, PSCC 2018, 2018-06-11 → 2018-06-15, Dublin, Ireland

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2018 Michael Evans, David Angeli, Simon H. Tindemans