Title page for etd-0705106-230958


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URN etd-0705106-230958
Author Te-Tien Ku
Author's Email Address No Public.
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Department Electrical Engineering
Year 2005
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Application of ARIMA and ANN for Load Forecasting of Distribution Systems
Date of Defense 2006-06-27
Page Count 106
Keyword
  • Temperature Sensitivity
  • PNN
  • ARIMA
  • Load forecasting
  • Abstract The objective of this thesis is to study the load forecasting of distribution feeders and substations for Fong-Shan District of Taiwan Power Company. To increase the accuracy of load forecasting, the load characterization of customers served has been investigated. The typical load patterns of different customers classes and derived by performing the statistic of power consumption data retrieved. The daily load profiles and load consumptions data distribution feeders and substations have been solved by considering the typical load patterns and energy consumption of all customers served. To investigate the correlation ship of temperature and energy consumption of customer classes, the temperature sensitivity of customer energy consumption has been used to update the load composition and the contribution of load change by different customer classes.
    To perform the load forecasting of distribution systems, the linear, nonlinear and hybrid load forecasting modules have been proposed. The historical load data of distribution feeders and substations in Fong-Shan District have been used to derive the load forecasting modules. To analyze the accuracy of load forecasting by considering the temperature effect, the temperature change is included in the load forecasting module. With the load forecasting derived, the proper load transfers among different distribution feeders and different substations have been determined to achieve the load balancing of service areas.
    Advisory Committee
  • Chia-Hung Lin - chair
  • Meei-Song Kang - co-chair
  • Chao-Shun Chen - advisor
  • Files
  • etd-0705106-230958.pdf
  • indicate in-campus access in a year and off_campus not accessible
    Date of Submission 2006-07-05

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