Probabilistic method for estimation of spinning reserves in multi-connected power systems with Bayesian network-based rescheduling algorithm

Yerzhigit Bapin, Vasileios Zarikas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This study proposes a new stochastic spinning reserve estimation model applicable to multi-connected energy systems with reserve rescheduling algorithm based on Bayesian Networks. The general structure of the model is developed based on the probabilistic reserve estimation model that considers random generator outages as well as load and renewable energy forecast errors. The novelty of the present work concerns the additional Bayesian layer which is linked to the general model. It conducts reserve rescheduling based on the actual net demand realization and other reserve requirements. The results show that the proposed model improves estimation of reserve requirements by reducing the total cost of the system associated with reserve schedule.

Original languageEnglish
Title of host publicationICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence
EditorsLuc Steels, Ana Rocha, Jaap van den Herik
PublisherSciTePress
Pages840-849
Number of pages10
ISBN (Electronic)9789897583506
Publication statusPublished - Jan 1 2019
Event11th International Conference on Agents and Artificial Intelligence, ICAART 2019 - Prague, Czech Republic
Duration: Feb 19 2019Feb 21 2019

Publication series

NameICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence
Volume2

Conference

Conference11th International Conference on Agents and Artificial Intelligence, ICAART 2019
CountryCzech Republic
CityPrague
Period2/19/192/21/19

Keywords

  • Bayesian Network
  • Interconnected Power Systems
  • Power System Reliability
  • Probabilistic Reserve Estimation
  • Spinning Reserve

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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  • Cite this

    Bapin, Y., & Zarikas, V. (2019). Probabilistic method for estimation of spinning reserves in multi-connected power systems with Bayesian network-based rescheduling algorithm. In L. Steels, A. Rocha, & J. van den Herik (Eds.), ICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence (pp. 840-849). (ICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence; Vol. 2). SciTePress.