Evaluation of Flexibility Impacts of Thermal Electric Storage Using an Integrated Building-to-Grid Model
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|Title:||Evaluation of Flexibility Impacts of Thermal Electric Storage Using an Integrated Building-to-Grid Model||Authors:||Anwar, Muhammad Bashar
Burke, Daniel J.
|Permanent link:||http://hdl.handle.net/10197/9216||Date:||17-Aug-2017||Online since:||2018-02-09T16:48:52Z||Abstract:||Demand Side Management (DSM) using Thermal Electric Storage (TES) presents a promising opportunity for enhancing the system flexibility, resulting in reliable and economic operation of future low-carbon power systems. Systemwide analysis of the flexibility potential of TES necessitates representation of dynamic thermal models in large-scale power systems models. Therefore, this study presents a novel Buildingto- Grid (B2G) model integrating buildings’ thermal dynamics and end-use constraints with a security-constrained unit commitment model for energy and reserve scheduling. The behaviour of residential thermal demand is represented through linear state space (RC-equivalent) models for different residential archetypes. The B2G model is subsequently used to evaluate the energy arbitrage and reserve provision potential of TES for a test system and various sensitivity analyses for wind penetration levels and presence of other flexibility options have been conducted. The optimisation results highlight the significant value of TES in terms of annual generation cost savings, reserve provision, peak load reduction and utilization of wind energy. The findings also emphasize the importance of co-optimising energy arbitrage and reserve provision from TES devices vis-a-vis system performance and household energy consumption scheduling||Funding Details:||European Commission Horizon 2020||Type of material:||Conference Publication||Publisher:||IEEE||Copyright (published version):||2017 IEEE||Keywords:||Ancillary services; Demand side management; Electric heating; Energy arbitage; Smart thermal storage||DOI:||10.1109/SEGE.2017.8052806||Language:||en||Status of Item:||Peer reviewed||Is part of:||Proceedings of 2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE),||Conference Details:||2017 the 5th IEEE International Conference on Smart Energy Grid Engineering, Oshawa, Canada, 14-17 August 2017|
|Appears in Collections:||Electrical and Electronic Engineering Research Collection|
Energy Institute Research Collection
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