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Optimal Battery Sizing for a Distribution Network in Austria to Maximise Profits and Reliability

Lookup NU author(s): Da HuoORCiD, Dr Marcos Santos, Dr David GreenwoodORCiD, Dr Neal WadeORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

Energy Storage Systems (ESS) can benefit distribution networks by providing multiple services to the Distribution System Operator (DSO) and contributing to system reliability. Given the high capital costs of ESS, it is beneficial to optimally design them for their intended applications; however, this can be computationally expensive due to the non-convex formulation of the AC power flow, the complexity of business use cases, and the simulation of multi-period operations. This paper develops a comprehensive model to size the ESS to minimize the system lifetime costs and maximise reliability. The non-convex AC power flow model is modified using a convex relaxation, which yields efficient and globally optimal results. The battery degradation is simulated by a global wear coefficient considering the effect of Depth of Discharge (DOD). The sizing study is implemented to fulfil multiple applications on the Güssing distribution network in Austria.

Publication metadata

Author(s): Huo D, Santos M, Greenwood D, Wade N, Resch M

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: CIRED 2020 Berlin Workshop (CIRED 2020)

Year of Conference: 2020

Pages: 13-16

Online publication date: 23/04/2021

Acceptance date: 22/05/2020

Date deposited: 21/10/2020

ISSN: 2515-0855

Publisher: IET

URL: https://doi.org/10.1049/oap-cired.2021.0007

DOI: 10.1049/oap-cired.2021.0007

Series Title: CIRED - Open Access Proceedings Journal

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