Picture of smart phone in human hand

World leading smartphone and mobile technology research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers from the Department of Computer & Information Sciences involved in researching exciting new applications for mobile and smartphone technology. But the transformative application of mobile technologies is also the focus of research within disciplines as diverse as Electronic & Electrical Engineering, Marketing, Human Resource Management and Biomedical Enginering, among others.

Explore Strathclyde's Open Access research on smartphone technology now...

Frequency restoration reserves : provision and activation using a multi-agent demand control system

D'Hulst, Reinhilde and Verbeeck, Jef and Caerts, Chris and Syed, Mazheruddin Hussain and Zaher, Ammar Samir Abd Elazim and Burt, Graeme (2015) Frequency restoration reserves : provision and activation using a multi-agent demand control system. In: 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST). IEEE, pp. 601-605. ISBN 978-1-4799-7736-9

Text (Verbeeck-etal-IEEE-EDST-2015-Frequency-restoration-reserves-provision-and-activation-using-a-multi-agent)
Verbeeck_etal_IEEE_EDST_2015_Frequency_restoration_reserves_provision_and_activation_using_a_multi_agent.pdf - Accepted Author Manuscript

Download (333kB) | Preview


In this work a control system for restoration reserve providers is proposed in which optimal biddings of restoration reserve capacity are made based on the predicted flexibility of the reserve resources within the portfolio of the reserve provider. I t is assumed that the gate closure time for submitting reserve capacit y bids is 1 hour before activation time. The reserve capacity bids need to be formed so that activation of the capacity is always feasible, irrespective of the consumption of the portfolio before an activation request. The determination of the optimal reserve capacity bids is only based on aggregated flexibility constraint information received by the individual flexible resources within the portfolio of the reserve provider. No further resource-spe cific information is used to determine the optimal reserve capacity bid. The activation and dispatch of the required power consumption at real time is done through a market-based multi-agent control system. A simulation example, in which the reserve capacity of a portfolio of batteries is simulated, proves the feasibility of the proposed approach and shows that a high precision of the portfolio response can be obtained.