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The Application of Outage Management Systems to Distribution Feeder Loss Analysis

This thesis is to derive the customer load composition and the distribution feeder loss by applying the outage management system (OMS). The distribution system network has been obtained by retrieving the component information from OMS database. The topology process and equipment reduction have also been executed to identify the network configuration and to prepare the input data for load flow analysis. With the monthly energy consumption of customers served by each transformer, which has been retrieved from the customer information system (CIS), the hourly loading of each distribution transformer is then derived. By performing the three phase load flow analysis for different types of distribution feeders, the power loss of distribution feeders has been obtained. To solve the effect of temperature change to the power consumption of distribution feeders, the temperature sensitivities of power consumption of each customer class are solved by multiple regression analysis with 95% confidential level. Based on the temperature sensitivity of the load component and the power loss, the increase of load demand and the power loss due to temperature rise can be estimated. Three practical distribution feeders in Taipei City District of Taipower are selected to demonstrate the impact of temperature change. To the feeder power consumption, it is found that the change of load demand for both residential and commercial customers is more significant as compared to the industrial customers. By applying the OMS for distribution system loss analysis, the feeder power loss can be evaluated according to the hourly loading, which can provide an effective tool to support the assessment of distribution system operation efficiency.
Date05 July 2006
CreatorsWang, Hsu-Lin
ContributorsChao-Shun Chen, Meei-Song Kang, Jiann-Fuh Chen, J-Lung Show
Source SetsNSYSU Electronic Thesis and Dissertation Archive
Detected LanguageEnglish
Rightscampus_withheld, Copyright information available at source archive

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