Flexibility assessment tool by failure-based uncertainty management in power systems

Name: Flexibility assessment tool by failure-based uncertainty management in power systems
Author: Poyrazoğlu, Göktürk, Dolu, Uğur

İsim	Flexibility assessment tool by failure-based uncertainty management in power systems
Yazar	Poyrazoğlu, Göktürk, Dolu, Uğur
Basım Tarihi:	2019
Basım Yeri	- IEEE
Konu	Flexibility, Power systems, Uncertainty, Empirical weighting, Probability
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-5386-8218-0
Kayıt Numarası	e1fc3f34-d49d-4398-af6e-b0690fca541e
Lokasyon	Electrical & Electronics Engineering
Tarih	2019
Notlar	TÜBİTAK
Örnek Metin	Flexibility in power systems operations is the capability to operate the system under secure conditions even after a sudden change in the system conditions. One of the sudden change may be considered as the failure of components in any power plants and the resultant loss of energy supply. This study provides a framework to manage the uncertainty associated with failures by evaluating the historical failure data. A novel empirical weighting methodology is presented consists of a supervised machine learning and probability techniques and a real dataset of Turkey's power systems is used to demonstrate the success of the developed flexibility assessment tool to manage the near future uncertainty on the supply side of the system.
DOI	10.1109/ISGTEurope.2019.8905676

Kaynağa git Özyeğin Üniversitesi

Aramaya Dön

Özyeğin Üniversitesi

Kaynağa git

Flexibility assessment tool by failure-based uncertainty management in power systems

Yazar Poyrazoğlu, Göktürk, Dolu, Uğur

Basım Tarihi 2019

Basım Yeri - IEEE

Konu Flexibility, Power systems, Uncertainty, Empirical weighting, Probability

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-5386-8218-0

Kayıt Numarası e1fc3f34-d49d-4398-af6e-b0690fca541e

Lokasyon Electrical & Electronics Engineering

Tarih 2019

Notlar TÜBİTAK

Örnek Metin Flexibility in power systems operations is the capability to operate the system under secure conditions even after a sudden change in the system conditions. One of the sudden change may be considered as the failure of components in any power plants and the resultant loss of energy supply. This study provides a framework to manage the uncertainty associated with failures by evaluating the historical failure data. A novel empirical weighting methodology is presented consists of a supervised machine learning and probability techniques and a real dataset of Turkey's power systems is used to demonstrate the success of the developed flexibility assessment tool to manage the near future uncertainty on the supply side of the system.

DOI 10.1109/ISGTEurope.2019.8905676