MDP based Decision Support for Earthquake Damaged Distribution System Restoration

2020-12-16
Arpalı, Onur Yigit
Aydın Göl, Ebru
Göl, Murat
Show full item record
273
views
0
downloads
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 earthquake, the Probability of Failure (Pf) of structures are calculated using the Peak Ground Acceleration (PGA) values recorded by observatories and earthquake research centers during the earthquake.
Decision support, Disaster Management, Distribution Systems, Markov Decision Process
https://hdl.handle.net/11511/84303
Department of Computer Engineering, Conference / Seminar

Suggestions

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...
A Novel MDP Based Decision Support Framework to Restore Earthquake Damaged Distribution Systems
Aydın Göl, Ebru; Göl, Murat (2019-01-01)
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 cr...
Harmonics elimination techniques in solar energy integration into smart grid
Abdulsalam, Abdulkadir Ahmed; Batunlu, Canras; Sustainable Environment and Energy Systems (2019-1)
Energy availability is a growing concern of the 21st century worldwide and generating this energy should not affect the envinment and its inhabitants negatively. The modern energy transmission and distribution system became more interesting with the advent of smart grid and integrating renewable energy sources into the grid creates a challenging problem of managing harmonics. To effectively integrate renewable energy as well as minimizing harmonics content in the power system smart grid importance was highl...
Application of a Hybrid Machine Learning model on short term electricty demand prediction
Assar, Ahmed Khaled Ahmed Farouk; Fahrioğlu, Murat; Sustainable Environment and Energy Systems (2022-2)
Electricity demand forecasting is an important procedure in the electricity market and plays a great role in assuring a sustainable and efficient operation chain. By accurately forecasting the demand, one can see a considerable reduction in production costs as well as saving energy resources. Therefore, optimizing the demand forecasting techniques became an inseparable goal of power economics, leading to the introduction of machine learning to this sector that proved to be superior to other pre-defined alte...
Short-Term Electricity Consumption Forecast using Datasets of Various Granularities
ARSLAN, YUSUF; ŞİMŞEK DİLBAZ, AYBİKE; Ertekin Bolelli, Şeyda; Karagöz, Pınar; Birtürk, Ayşe Nur; Eren, Sinan; KÜÇÜK, DİLEK (2018-09-10)
It is widely known that the generation and consumption of electricity should be balanced for secure operation and maintenance of the electricity grid. In order to help achieve this balance in the grid, the renewable energy resources such as wind and stream-flow should be forecast at high accuracies on the generation side, and similarly, electricity consumption should be forecast using a high-performance system. In this paper, we deal with short-term electricity consumption forecast in Turkey, and conduct va...
Citation Formats
O. Y. Arpalı, E. Aydın Göl, and M. Göl, “MDP based Decision Support for Earthquake Damaged Distribution System Restoration,” 2020, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/84303.
METU IIS - Integrated Information Service open@metu.edu.tr