NDLI: Expansion planning of substation capacity by considering service reliability

Content Provider	IEEE Xplore Digital Library
Author	Chen, C.S. Huang, M.Y. Chen, C.C.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan (Chen, C.S.)
Abstract	The expansion planning of substation capacity is a very critical issue for distribution system to maintain the service reliability. This paper proposes a methodology for capacity expansion planning of main transformers in substations by considering loss of load expectation (LOLE). To investigate the distribution system reliability, six service areas in Fengshan district of Taipower are selected for computer simulation. The forecasting of annual peak loadings of each area for the future 20 years is performed by the time series method based on the historical load data and load characteristics. By using the forced outage rate (FOR) of main transformers in the substations, the LOLE of each service area is solved. The capacity expansion planning of main transformers is therefore obtained by committing new main transformers at the year with LOLE exceeding the specified criterion. To further enhance system reliability, the capacity transfer capability of main transformers with constraint of tie line capacity between different areas is also considered. It is found that the expansion planning of main transformers by the proposed methodology can provide better-cost effectiveness of transformer investment to satisfy the service reliability as well as the system peak loading.
Starting Page	58
Ending Page	62
File Size	858864
Page Count	5
File Format	PDF
ISBN	0780386108
DOI	10.1109/ICPST.2004.1459966
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-11-21
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Substations Capacity planning Transformers Load forecasting Power system reliability Maintenance Costs Frequency estimation Computer simulation Investments
Content Type	Text
Resource Type	Article

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