BarbourER_OSES2019.pdf (842.22 kB)
Modelling the effects of low-cost large-scale energy storage in the UK electricity network
conference contribution
posted on 2020-02-04, 09:46 authored by Edward BarbourEdward Barbour, A Pimm, D Parra© 2019 IEEE. In this paper we present a framework for modelling the impacts of large-scale electricity storage in the Great Britain (GB) electricity network. Our framework consists of two principle components; firstly, a data-driven model of the GB powerplant dispatch, and secondly, an energy storage module. The storage module takes the powerplant dispatch and modifies it considering the specified energy storage characteristics (capacity, charging/discharging power and efficiency) in order to minimize an objective function. In particular, we consider two objective functions, minimizing the system running cost and minimizing the system emissions. We demonstrate our approach using data from the GB electricity system in 2015. Our model is primarily built in python and is entirely open-source in nature.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Research Unit
- Centre for Renewable Energy Systems Technology (CREST)
Source
2019 Offshore Energy and Storage Summit (OSES 201)Publisher
IEEEVersion
- AM (Accepted Manuscript)
Rights holder
© IEEEPublisher statement
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.Publication date
2019-10-14Copyright date
2019ISBN
9781728123172Publisher version
Language
- en
Location
BREST, FranceEvent dates
10-12th July 2019Depositor
Dr Edward Barbour . Deposit date: 3 February 2020Usage metrics
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