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Assessment of Optimal Power Flow (OPF)Uncertainty in Hybrid Wind- PV Power Systems

Aien, Morteza | 2011

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 42296 (46)
  4. University: Sharif University of Technology
  5. Department: Energy Engineering
  6. Advisor(s): Fotouhi Firouzabad, Mahmoud
  7. Abstract:
  8. As a matter of fact, power systems are always faced with a variety of uncertainties. These uncertainties change system parameters in an unwanted manner which may deteriorate the system security and reliability. For instance, a transmission line which is designed for a certain capacity may be suffered as a result of load increment and consequently may influence the normal operation of other network elements. In recent years, as a result of environmental considerations and especially after the oil shock at 1973 which caused the the energy prices to increase unprecedentedly, the human has taken more attention to renewable energies exploitation. Theses energies have a fluctuating nature and are not expected to follow a certain trend in a given time; therefore, these energies have their own uncertainties added to the system conventional uncertainties. As a result, the probabilistic assessment of of power system behavior, may be done by probabilistic approaches, is of significant importance. Probabilistic methods are grouped into two categories: simulation and analytical methods. The simulation approaches have the highest degree of accuracy while their execution may be a time-consuming procedure and this issue could distract their attractiveness in some applications. In contrast, analytical methods have less computational burden and their accuracy is trivially less than simulation ones. In this thesis, the concentration is placed on the analytical methods and the attempts are toward introducing a superior approach from the accuracy, execution time, and algorithm simplicity viewpoints. In the following, a comprehensive approach is devised for the sake of probabilistic optimal power flow (P-OPF). The proposed within the scope of this thesis is a novel method utilized in the P-OPF studies. The investigated case studies well confirm the effectiveness of the suggested method. At last, another contribution is introduced for the online P-OPF studies on the basis of artificial neural networks (ANN) whose performance is effectively confirmed through some practical case studies
  9. Keywords:
  10. Uncertainty ; Wind Turbine ; Probabilistic Optimal Power Flow ; Photovoltaic Cell ; Analytical Probabilistic Method

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