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Lookup NU author(s): Da HuoORCiD,
Dr Marcos Santos,
Dr David Greenwood,
Dr Neal WadeORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
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.
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
Online publication date: 23/04/2021
Acceptance date: 22/05/2020
Date deposited: 21/10/2020
Series Title: CIRED - Open Access Proceedings Journal