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...

Wide area cyclic blackout mitigation by supply-demand matching of HVAC counterpart loads

Al-Salim, Kasim and Andonovic, Ivan and Michie, Craig (2014) Wide area cyclic blackout mitigation by supply-demand matching of HVAC counterpart loads. In: 2014 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). IEEE, Piscataway, NJ., pp. 1-6. (In Press)

[img] Text (Al-Salim-Andonovic-Michie-IEEEPES2014-Wide-area-cyclic-blackout-mitigation-by-supply-demand)
Al_Salim_Andonovic_Michie_IEEEPES2014_Wide_area_cyclic_blackout_mitigation_by_supply_demand.pdf - Accepted Author Manuscript

Download (849kB)

Abstract

Many countries around the world are challenged to meet the escalating demand for power often resulting in frequent blackouts. Domestic standby generation and associated running costs are prohibitive and novel strategies to provision measures that manage blackouts are becoming much sought after. Almost all installed standby generation is not fully utilized and certain amounts of surplus power can be identified. The paper presents a strategy that harnesses the aggregated standby superfluous power to fulfil essential demand in residential areas during cyclic blackouts covering wide areas. The solution has at its foundation, a multiagent distributed demand management system with a supply-demand matching capability. Environmental conditions are monitored periodically and power is distributed accordingly to each sub-district. Customers at sub-districts receive a share of power according to two different distribution criteria and although their immediate allocated power is not the same, their overall daily power ration is equal. Air conditioners are backed up with less power demanding counterparts and a group of options is adaptively clustered. Their usage rights are distributed among customers according to available superfluous power. The approach is evaluated through an extensive emulation framework and results show that the proposed system is capable of providing an acceptable Quality-of-Service (QoS) level during cyclic blackout periods.