PERFORMANCE IMPROVEMENT FOR SITUATIONAL AWARENESS AND RESTORATION OF DISTRIBUTION SYSTEMS

Download

Ugur Can Yilmaz - Thesis.pdf

Date

2021-6-30

Author

Yılmaz, Uğur Can

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

253
views

23
downloads

Electricity has a crucial role in modern life, and its absence may cause catastrophic complications. Restoration of distribution systems requires an efficient decision support mechanism as well as an accurate real-time operation. Considering the utmost importance of fast restoration of the distribution system to provide uninterrupted electricity, a decision support mechanism is required to employ an efficient analysis of the system. Therefore, it is crucial to analyze the system in a fast manner. This thesis presents a computationally efficient partitioning method using a novel numeric algorithm to detect the ring structure in order to conduct the required analyses in a fast manner. Moreover, to improve the situational awareness during the restoration, a situational awareness tool is developed. The tool uses received measurements from the energized sections to estimate the observable states and to update unreliable load/generation forecasts/profiles. The proposed tool employs three-phase Least Absolute Values (LAV) estimator with a linearized measurement function to improve the computational performance without loss of accuracy significantly. Finally, the proposed situational awareness tool uses an efficient power flow formulation based on the well-known forward/backward sweep algorithm to detect any infeasible restoration strategy.

Subject Keywords

Distribution System Restoration, Three-Phase State Estimation, Situational Awareness

URI

https://hdl.handle.net/11511/91344

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

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...
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...
Solar Power Generation Analysis and Forecasting Real-World Data Using LSTM and Autoregressive CNN tosun, nail; sert, egemen; Ayaz, Enes; YILMAZ, ekin; GÖL, MURAT (2020-09-22) Generated power of a solar panel is volatile and susceptible to environmental conditions. In this study, we have analyzed variables affecting the generated power of a 17.5 kW real-world solar power plant with respect to five independent variables over the generated power: irradiance, time of measurement, panel's temperature, ambient temperature and cloudiness of the weather at the time of measurement. After our analysis, we have trained three different models to predict intra-day solar power forecasts of th...
Centralized Microgrid Control System in Compliance with IEEE 2030.7 Standard Based on an Advanced Field Unit Pouraltafi-kheljan, Soheil; Ugur, Mesut; Bozulu, Efecan; Caliskan, Bahadir Can; Keysan, Ozan; Göl, Murat (2021-11-01) The necessity for the utilization of microgrids emerges from the integration of distributed energy resources, electric vehicles, and battery storage systems into the conventional grid structure. In order to achieve a proper operation of the microgrid, the presence of a microgrid control system is crucial. The IEEE 2030.7 standard defines the microgrid control system as a key element of the microgrid that regulates every aspect of it at the point-of-interconnection with the distribution system, and autonomou...
Performance Analysis of Data Mining Techniques for Improving the Accuracy of Wind Power Forecast Combination Koksoy, Ceyda Er; Ozkan, Mehmet Baris; Küçük, Dilek; Bestil, Abdullah; Sonmez, Sena; Buhan, Serkan; Demirci, Turan; Karagöz, Pınar; Birturk, Aysenur (Springer International Publishing, 2015) Efficient integration of renewable energy sources into the electricity grid has become one of the challenging problems in recent years. This issue is more critical especially for unstable energy sources such as wind. The focus of this work is the performance analysis of several alternative wind forecast combination models in comparison to the current forecast combination module of the wind power monitoring and forecast system of Turkey, developed within the course of the RITM project. These accuracy improve...

Citation Formats

U. C. Yılmaz, “PERFORMANCE IMPROVEMENT FOR SITUATIONAL AWARENESS AND RESTORATION OF DISTRIBUTION SYSTEMS,” M.S. - Master of Science, Middle East Technical University, 2021.