Chance-Constrained Ancillary Service Specification for Heterogeneous Storage Devices

Chance-Constrained Ancillary Service Specification for Heterogeneous Storage Devices

Evans, Michael (Imperial College London)
Angeli, David (Imperial College London)
Strbac, Goran (Imperial College London)
Tindemans, Simon H. (TU Delft Intelligent Electrical Power Grids)

2019-05-22

We present a method to find the maximum magnitude of any supply-shortfall service that an aggregator of energy storage devices is able to sell to a grid operator. This is first demonstrated in deterministic settings, then applied to scenarios in which device availabilities are stochastic. In this case we implement chance constraints on the inability to deliver as promised. We show a significant computational improvement in using our method in place of straightforward scenario simulation. As an extension, we present an approximation to this method which allows the determined fleet capability to be applied to any chosen service, rather than having to re-solve the chance-constrained optimisation each time.

Energy storage systems
ancillary service
chance-constrained optimisation
optimal control

http://resolver.tudelft.nl/uuid:a62a0fec-a785-4a0e-b105-078ee4c2ab34

https://doi.org/10.1109/ISGTEurope.2019.8905723

IEEE, Danvers

2020-05-21

978-1-5386-8219-7

Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019

Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019

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

© 2019 Michael Evans, David Angeli, Goran Strbac, Simon H. Tindemans