Multi-scale dynamic modeling to maximize demand side management

Aristides Kiprakis, Ian Dent, Sasa Djokic, Stephen McLaughlin

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

Abstract

This paper presents the work program of DESIMAX, a collaborative research project looking at wide-scale implementation of demand side management (DSM) within electricity networks. To fully understand the implications of extended use of DSM, it is important to develop multi-scale models that will be able to capture, predict and demonstrate the response of the power system at time scales ranging from subsecond intervals to periods of years. A multi-sector modeling framework is proposed that includes the physical (electrical) system, the end-user behavior, the economic and environmental models, as well as the set of digital interventions required in order to assist wider and easier implementation of DSM. The proposed modeling framework allows for a holistic approach to DSM integration and is capable of assessing the implications and
effects of devised DSM schemes across the entire electricity system.
Original languageEnglish
Title of host publication2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe)
PublisherIEEE
ISBN (Print)978-1-4577-1422-1
DOIs
Publication statusPublished - 2011

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    Kiprakis, A., Dent, I., Djokic, S., & McLaughlin, S. (2011). Multi-scale dynamic modeling to maximize demand side management. In 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe) IEEE. https://doi.org/10.1109/ISGTEurope.2011.6162723