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Determining the Optimal Level of Reserve in Power Systems with High Penetration of Wind Energy

Riahinia, Shahin | 2013

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 44621 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Abbaspour Tehrani Fard, Ali; Fotuhi-Firuzabad, Mahmud
  7. Abstract:
  8. Shortage in fossil fuels resources together with the pollution concerns have caused a systematic change in power system planners and decision makers policies to renewable energies as an alternative to produce electrical energy. However, some intrinsic features of the wind energy overshadow its profitability. Inability to predict the wind speed changes and consequently the output level of wind turbines, being an uncontrollable generation unit, and also being an intermittent unit can be accounted as the main attributes of renewable-based units. Taking into account these features, one can conclude that new challenges can be brought into existence in planning and operation issues of high-penetrated wind energy power systems. Determining the required static reserve level for power systems with high penetration of wind energy in which a certain level of risk should be satisfiedis one of these technical challenges. The need for more accurate model of wind speed forecasting is increasing due to uncertainty and stochastic nature of wind farms. More accurate wind speed model decreases the planning and operation challenges. In this thesis, after introducingdifferent methods of wind farm modeling, a novel model for wind speed forecasting is presented. Furthermore, a probabilistic model of wind farm for reliability studies is proposed. The Fuzzy c-mean clustering method is used to make the wind model more feasible. Then, the factors that influence the static reserve of power system are investigated. The static reserve is determined by combination of these factors. Finally, an algorithm for determiningoptimal static reserve is presented. This algorithm determines the planning for generation units by satisfying desire level of reliability indices
  9. Keywords:
  10. Wind Farms ; Reliability ; Wind Speed Forecasting ; Time-Series Neural Network ; Static Reserve

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