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Economic Dispatch using Advanced Dynamic Thermal Rating Open Access


Other title
Linear Programming
Thermal Rating
Economic Dispatch
Mixed Integer Programming
Type of item
Degree grantor
University of Alberta
Author or creator
Milad, Khaki
Supervisor and department
Musilek, Petr (Electrical and Computer Engineering)
Examining committee member and department
Reformat, Marek (Electrical and Computer Engineering)
Musilek, Petr (Electrical and Computer Engineering)
Karapetrovic, Stanislav (Engineering Management)
Department of Electrical and Computer Engineering

Date accepted
Graduation date
Master of Science
Degree level
Scientific and technology advances in electrical engineering and increasing demand for electrical energy have led to extensive research in power industry and formation of new markets for electrical energy. These developments have brought about interest and demand for power. In response to the increase in demand, the research focus is on upgrading the current infrastructure to higher capacity power transmission networks. Nevertheless, building new generating stations and transmission facilities is precluded by some environmental, social, and economic regulations. Therefore, the only feasible solution to deal with the energy requirement is to increase and optimize the capacity of existing power generation and transmission equipment. The current thesis proposes an optimization method based on the Mixed Integer Linear Programming technique to maximize the usage of the capacity of power transmission facilities. The method employs weather-based dynamic thermal ratings, costs of power generation, and power generation constraints such as cost of start-up/shut-down and generation ramp up/down limits. The method's accuracy is increased by incorporating a spatially resolved, high-resolution thermal model of the transmission system. By utilizing this extension, the thermal limits and temperature-dependent losses of the system are identified and dynamically used in calculations. Load forecasting is used in dispatch centers to improve generator scheduling and minimize the costs of the entire system. The multi-snapshot characteristic of the model, which is proposed in this thesis, provides the model with the ability to consider the load and meteorological data's forecasts, further improving the model's accuracy. The performance of the model is tested by simulating a year of data from Newfoundland and Labrador Hydro power generation and transmission system, and for the weather conditions the North American Regional Reanalysis (NARR) historical dataset is used. The simulation results show that the overall costs of the system can be reduced by incorporating dynamic capacity of transmission lines and optimizing the power generation and transmission. The temperature and resistance variability of the transmission network is also analyzed and the results are provided.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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