Data mining methods for clustering power quality data collected via monitoring systems installed on the electricity network

Download

index.pdf

Date

2009

Author

Güder, Mennan

Metadata

Show full item record

Item Usage Stats

203
views

72
downloads

Increasing power demand and wide use of high technology power electronic devices result in need for power quality monitoring. The quality of electric power in both transmission and distribution systems should be analyzed in order to sustain power system reliability and continuity. This analysis is possible by examination of data collected by power quality monitoring systems. In order to define the characteristics of the power system and reveal the relations between the power quality events, huge amount of data should be processed. In this thesis, clustering methods for power quality events are developed using exclusive and overlapping clustering models. The methods are designed to cluster huge amount of power quality data which is obtained from the online monitoring of the Turkish Electricity Transmission System. The main issues considered in the design of the clustering methods are the amount of the data, efficiency of the designed algorithm and queries that should be supplied to the domain experts. This research work is fully supported by the Public Research grant Committee (KAMAG) of TUBITAK within the scope of National Power quality Project (105G129).

Subject Keywords

Computer enginnering., Computer science.

URI

http://etd.lib.metu.edu.tr/upload/3/12611120/index.pdf
https://hdl.handle.net/11511/18825

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Lifetime extension for surveillance wireless sensor networks with intelligent redeployment Kosar, Rabun; Bojaxhiu, Ilir; Onur, Ertan; Ersoy, Cem (Elsevier BV, 2011-11-01) For wireless sensor networks (WSNs), uneven energy consumption is a major problem. A direct consequence of this is the energy hole problem, formation of sensing voids within the network field due to battery depleted sensors in the corresponding region. Hole formations are inherent in the network topology, yet it is possible to develop strategies to delay the hole formations to later stages of the network operation and essentially extend the network lifetime without sensing quality loss. In this work, we ini...
Fuzzy decision fusion for single target classification in wireless sensor networks Gök, Sercan; Yazıcı, Adnan; Department of Computer Engineering (2009) Nowadays, low-cost and tiny sensors are started to be commonly used due to developing technology. Wireless sensor networks become the solution for a variety of applications such as military applications. For military applications, classification of a target in a battlefield plays an important role. Target classification can be done effectively by using wireless sensor networks. A wireless sensor node has the ability to sense the raw signal data in battlefield, extract the feature vectors from sensed signal ...
Execution of distributed database queries on a HPC system Önder, İbrahim Seçkin; Coşar, Ahmet; Department of Computer Engineering (2010) Increasing performance of computers and ability to connect computers with high speed communication networks make distributed databases systems an attractive research area. In this study, we evaluate communication and data processing capabilities of a HPC machine. We calculate accurate cost formulas for high volume data communication between processing nodes and experimentally measure sorting times. A left deep query plan executer has been implemented and experimentally used for executing plans generated by ...
Improving throughput by traffic aware routing in non-transparent ieee 802.16j networks Tekdoğan, Rıdvan; Şener, Cevat; Department of Computer Engineering (2010) WiMAX is one of the rising communications technology which enables last mile broadband mobile wireless Internet connectivity. IEEE Std 802.16-2009 is the last accepted standard which targets mobile and fixed wireless broadband access. The standard defines two types of stations which are base and mobile stations. A base station has a wired connection to backhaul network and gives broadband wireless service to mobile stations. IEEE 802.16j standard which is an amendment to IEEE 802.16, introduces Multihop Rel...
Data-driven modeling using deep neural networks for power systems demand and locational marginal price forecasting Jimu, Honest; Fahrioğlu, Murat; Electrical and Electronics Engineering (2022-9) Forecasting electricity demand and locational marginal prices (LMPs) have become critical components for power system security and management. Electricity Demand Forecasting (EDF) aids the utility in maximizing the use of power-generation plants and scheduling them for both reliability and cost-effectiveness. In this thesis, a novel Deep Neural Network Long Short-Term Memory (DNN-LSTM) forecasting model is suggested to improve accuracy and robustness for predicting hourly day ahead power system load and LMP...

Citation Formats

M. Güder, “Data mining methods for clustering power quality data collected via monitoring systems installed on the electricity network,” M.S. - Master of Science, Middle East Technical University, 2009.