DocumentCode
647977
Title
Improving transformer´s utilization under customer reliability requirements
Author
Wang, Jiacheng ; Kirtley, James ; Carvalho, Pedro M. S.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., M.I.T., Cambridge, MA, USA
fYear
2013
fDate
21-25 July 2013
Firstpage
1
Lastpage
6
Abstract
During the past two decades, utilities have increased transformer´s utilization by about 30% in North American power distribution systems. High utilization levels, for transformers in particular, make utility companies more financially efficient, and this is potentially beneficial to both stockholders and customers. However, reduced customer service reliability is often detected in highly-utilized distribution systems. This can be attributed to the incompatibility between a commonly used supply-side reliability planning approach and customer-side reliability requirements. For this reason, an improvement over the N - 1 methodology is sought to set the maximum utilization of transformers while assuring good customer service quality at the same time. This paper proposes a method to estimate the maximum transformer utilization level under a given customer reliability requirement. The method is formulated as a mixed-binary-integer optimization problem. Moreover, the formula enables the specification of customer reliability requirements at a system level and at designated localities. The proposed method can be applied to find the maximum utilization of transformers, and can be extended to other power delivery equipment, in distribution systems.
Keywords
optimisation; power distribution planning; power distribution reliability; power transformers; N - 1 methodology; customer service reliability; customer side reliability requirements; highly-utilized distribution system; maximum transformer utilization estimation; mixed binary integer optimization problem; power delivery equipment; supply side reliability planning approach; Customer services; Loading; Power system reliability; Power transformers; Reliability engineering; Substations; power distribution planning; power system reliability; power transformers;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location
Vancouver, BC
ISSN
1944-9925
Type
conf
DOI
10.1109/PESMG.2013.6672530
Filename
6672530
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