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Main Title: Very short-term power system frequency forecasting
Author(s): Yurdakul, Ogun
Eser, Fatih
Sivrikaya, Fikret
Albayrak, Sahin
Type: Article
Language Code: en
Abstract: Power system frequency plays a pivotal role in ensuring the security, adequacy, and integrity of a power system. While some frequency response services are automatically delivered to maintain the frequency within the stipulated limits, certain cases may require that system operators (SOs) manually intervene-against the clock-to take the necessary preventive or corrective actions. As such, SOs can be greatly aided by practical tools that afford them greater temporal leeway. To this end, we propose a methodology to forecast the power system frequency in the subsequent minute. We perform an extensive analysis so as to identify the factors that influence power system frequency. By effectively exploiting the identified factors, we develop a forecasting methodology that harnesses the long short-term memory model. We demonstrate the effectiveness of the proposed methodology on Great Britain transmission system frequency data using comparative assessments with selected benchmarks based on various evaluation metrics.
Issue Date: 30-Jul-2020
Date Available: 1-Dec-2020
DDC Class: 600 Technik, Technologie
Subject(s): forecasting
frequency control
frequency response
long short-term memory
recurrent neural network
Sponsor/Funder: DFG, 414044773, Open Access Publizieren 2019 - 2020 / Technische Universität Berlin
Journal Title: IEEE Access
Publisher: IEEE
Publisher Place: New York, NY
Volume: 8
Publisher DOI: 10.1109/ACCESS.2020.3013165
Page Start: 141234
Page End: 141245
EISSN: 2169-3536
Appears in Collections:FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT) » Publications

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