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Optimum Location of Re-closers, and Fault Indicators in a Distribution Network for Improvement of Reliability Parameters

Asghari, Mohammad Omid | 2017

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50032 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Vakilian, Mahdi
  7. Abstract:
  8. Nowadays, due to the indensible role of electrical energy in life of societies, the reliability of service should be provided in an economic form. Researches has shown that, about 80% of faults occur in the distribution network. In a distribution network that is equipped with automation systems, through the acceleration in the determination of the fault location, and also possibility of reacting against transient and steady faults, the electricity interruption time duration is minimized. This thesis aims to determine the number and to locate the auto reclosers and fault indicators in a distribution network optimally. To make it economically feasible, a limited number of these devices and equipments must be installed at the key points with the highest priority. fault indicators reduce the fault detection time, and on other hand, auto reclosers, have the ability to isolate the short circuits and to restore the network operation under transient faults occurence. So, with the proper application and location of these tools in a real distribution network, the reliability of the distribution network and the amount of lost load will be reduced significantly. The location of the auto reclosres and fault indicators is determined through the introduction of a total loss of load’s costs objective function, which is employed to minimize the customer interruption costs. Where the number of possible cases to be considered are unreasonably high, it is preferred to use evolutionary optimization algorithms such as genetics
  9. Keywords:
  10. Automation ; Fault Indicator ; Optimization ; Genetic Algorithm ; Distribution System ; Distribution Network Load ; Autore Closer

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