Optimising the use of a battery in a wind-diesel-battery hybrid island grid using power prediction and day-ahead optimisation

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)
108 Downloads (Pure)

Abstract

Using demand and local renewable generation data, the performance of a hybrid wind-diesel-battery island grid was assessed for a range of scheduling approaches, ranging from simple prioritising of the battery over diesel, through a simple assessment of expected day-ahead demand-wind generation balance to a day-ahead optimisation.

A key factor in the performance assessment was a nonlinear cost of using the battery, where the cost depended on the state of charge of the battery, reflecting how the life time of many batteries depends on their depth of discharge. The results suggested that a simple assessment of the day-ahead balance may increase the operational costs compared to immediate battery prioritisation but combining forecasts with optimisation can lead to reliable operational cost savings.
Original languageEnglish
Pages (from-to)714-719
Number of pages6
JournalRenewable Energy and Power Quality Journal
Issue number14
DOIs
Publication statusPublished - May 2016
EventInternational Conference on Renewable Energies and Power Quality 2016 - Madrid , Spain
Duration: 4 May 20166 May 2016

Fingerprint

Dive into the research topics of 'Optimising the use of a battery in a wind-diesel-battery hybrid island grid using power prediction and day-ahead optimisation'. Together they form a unique fingerprint.

Cite this