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Pumped thermal electricity storage for active distribution network applications.

Ibrahim, A. A. and Kazemtabrizi, B. and Bordin, C. and Dent, C. and McTigue, J. and White, A. (2017) 'Pumped thermal electricity storage for active distribution network applications.', in 2017 IEEE Manchester PowerTech : 18-22 June 2017, Manchester, England ; proceedings. Piscataway, NJ: IEEE.

Abstract

This paper introduces a new model for Pumped Thermal Electricity Storage (PTES) devices as an emerging thermal storage technology. PTES devices are capable of reaching higher capacities than battery storage devices and therefore are suitable for grid-scale storage at the distribution voltage levels. The new model captures the inherent thermal characteristics, such as the variable efficiency, of the PTES device, yet it is not computationally burdensome for integration into non-linear optimisation problem formulations. It therefore makes it suitable for operational planning studies in active distribution networks. The new model uses a two-stage regression of a detailed thermodynamic model of PTES to capture the approximate behaviour. The salient feature of this reduced model is that the variable efficiency is a function of the energy content - the state of charge - of the device. The new model is tested on a medium-voltage 33-bus distribution network within a dynamic optimal power flow formulation for day-ahead operational planning. The main objective has been to minimize daily cost of buying energy from the external grid. The results have been compared with the same test network without any storage devices and with storage models with fixed round-trip efficiency. In both cases the results clearly show the suitability and prowess of the new model in producing accurate operational cycles for the device and its benefits in terms of significant savings in operational costs when using large-scale PTES devices.

Item Type:Book chapter
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1109/ptc.2017.7980837
Publisher statement:© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Date accepted:07 April 2017
Date deposited:13 April 2017
Date of first online publication:20 July 2017
Date first made open access:No date available

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