Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A Novel MDP Based Decision Support Framework to Restore Earthquake Damaged Distribution Systems
Date
2019-01-01
Author
Aydın Göl, Ebru
Göl, Murat
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
225
views
0
downloads
Cite This
Electric power network expanded rapidly in recent decades due of the excessive need of electricity in every aspect of life, including critical infrastructures such as medical services, and transportation and communication systems. Natural disasters are one of the major reasons of electricity outage. It is extremely important to restore electrical energy in the shortest time possible after a disaster. This paper proposes a decision support method for electric system operators to restore electricity to the critical loads in a distribution system after an earthquake. The proposed method employs Markov Decision Process to find the optimal restoration scheme based on the Probability of Failure of critical structures determined by using the Peak Ground Acceleration values recorded by observatories and earthquake research centers during earthquakes.
Subject Keywords
Decision support
,
Disaster management
,
Distribution systems
,
Markov decision process
URI
https://hdl.handle.net/11511/42644
DOI
https://doi.org/10.1109/isgteurope.2019.8905675
Collections
Department of Computer Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
A hierarchical decision support system for workforce planning in medical equipment maintenance services
Cihangir, Çiğdem; Bayındır, Zeynep Pelin; Tan, Tarkan; Department of Industrial Engineering (2010)
In this thesis, we propose a hierarchical level decision support system for workforce planning in medical equipment maintenance services. In strategic level, customer clusters and the total number of field engineers is determined via a mixed integer programming and simulation. In MIP, we aim to find the minimum number of field engineers. Afterwards, we analyze service measures such as response time via simulation. In tactical level, quarterly training program for the field engineers is determined via mixed ...
MDP based Decision Support for Earthquake Damaged Distribution System Restoration
Arpalı, Onur Yigit; Aydın Göl, Ebru; Göl, Murat (2020-12-16)
As the society becomes more dependent on the presence of electricity, the resilience of the power systems gains more importance. This paper develops a decision support method for distribution system operators to restore electricity after an earthquake to the maximum number of customers in the minimum expected duration. The proposed method employs Markov Decision Process (MDP) to determine the optimal restoration scheme. In order to determine the probability of the field component damage due to the earthquak...
MDP based real time restoration for earthquake damaged active distribution systems
Arpalı, Onur Yigit; Yılmaz, Uğur Can; GÜLDÜR ERKAL, BURCU; Aydın Göl, Ebru; Göl, Murat (2023-05-01)
After a disaster, presence of electricity becomes even more crucial compared to its role in daily life. In this paper, an online decision support method is developed to restore medium voltage active distribution systems after an earthquake. The proposed method employs Markov Decision Process (MDP) to determine the sequence of actions which minimizes the expected restoration time. The method firstly predicts the health condition of the system components based on the Probability of Failure (Pf). These Pf valu...
Improved Situational Awareness for Power Distribution Systems Based on WLAV Estimator and Direct Load Flow Solution
Parlaktuna, Kemal; Dursun, Erk; Cinalioglu, Mustafa Cihan; Göl, Murat (2022-01-01)
With high renewable penetration, increasing popularity of electrical vehicles and rapid growth of electrical system especially in urban areas, modern distribution power systems are becoming more complex. Having situational awareness of the system is crucial for system operator both to have knowledge on the current state of the system and where to improve infrastructure. In this paper an application of a situational awareness tool for an active distribution power system is discussed. Improvements on the info...
A soft computing approach to projecting locational marginal price
Nwulu, Nnamdi I.; Fahrioglu, Murat (2013-05-01)
The increased deregulation of electricity markets in most nations of the world in recent years has made it imperative that electricity utilities design accurate and efficient mechanisms for determining locational marginal price (LMP) in power systems. This paper presents a comparison of two soft computing-based schemes: Artificial neural networks and support vector machines for the projection of LMP. Our system has useful power system parameters as inputs and the LMP as output. Experimental results obtained...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
E. Aydın Göl and M. Göl, “A Novel MDP Based Decision Support Framework to Restore Earthquake Damaged Distribution Systems,” 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42644.
