Machine Learning Basics and Potential Applications in Power Systems

Tao Xue, Ulas Karaagac, Ilhan Kocar, Masoud Babaei Vavdareh, Mohsen Ghafouri

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Power system studies have relied on physical model-driven methods for decades. However, uncertainties arising from integrating renewable energies, nonlinearities introduced by power electronic devices, increased dependence on cyber-physical systems, and the need for fast and accurate big data analysis challenge traditional power system methodologies. In recent years, machine learning (ML) has revolutionized scientific research, making it possible to address constantly changing and nonlinear questions without the need for pre-determined models. This paper first introduces the basics of ML and typical algorithms to new researchers and readers. Then typical examples of applying ML to power systems are proposed but not limited to electricity customer clustering, load and electricity price forecasting, power system dynamics prediction, impedance model identification, power system security, optimal load flow, load management control and inverter-based resources (IBR) control. In future studies, it is encouraged to embrace this emerging technology and utilize a combination of data-driven and model-driven methods.

Original languageEnglish
Title of host publication4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350369694
DOIs
Publication statusPublished - 27 Feb 2024
Event4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023 - Dubai, United Arab Emirates
Duration: 30 Dec 202331 Dec 2023

Publication series

Name4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023

Conference

Conference4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023
Country/TerritoryUnited Arab Emirates
CityDubai
Period30/12/2331/12/23

Keywords

  • Data-Driven Methods
  • Deep Learning
  • Machine Learning
  • Power Systems
  • Reinforcement Learning

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Instrumentation

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