Predicting the power grid frequency of European islands

Author:

Lund Onsaker Thorbjørn,Nygård Heidi SORCID,Gomila DamiáORCID,Colet PereORCID,Mikut RalfORCID,Jumar RichardORCID,Maass HeikoORCID,Kühnapfel UweORCID,Hagenmeyer VeitORCID,Schäfer BenjaminORCID

Abstract

Abstract Modelling, forecasting and overall understanding of the dynamics of the power grid and its frequency are essential for the safe operation of existing and future power grids. Much previous research was focused on large continental areas, while small systems, such as islands are less well-studied. These natural island systems are ideal testing environments for microgrid proposals and artificially islanded grid operation. In the present paper, we utilise measurements of the power grid frequency obtained in European islands: the Faroe Islands, Ireland, the Balearic Islands and Iceland and investigate how their frequency can be predicted, compared to the Nordic power system, acting as a reference. The Balearic Islands are found to be particularly deterministic and easy to predict in contrast to hard-to-predict Iceland. Furthermore, we show that typically 2–4 weeks of data are needed to improve prediction performance beyond simple benchmarks.

Funder

Helmholtz-Gemeinschaft

Publisher

IOP Publishing

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Information Systems

Reference49 articles.

1. Collective nonlinear dynamics and self-organization in decentralized power grids

2. Overview of frequency control in the nordic power system;Modig,2022

3. Sharing reserves through HVDC: potential cost savings in the Nordic Countries;Tosatto;IET Gener. Transm. Distrib.,2021

4. Tíõnistýring;Landsnet,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3