Title :
Deregulated transmission system reliability planning criteria based on historical equipment performance data
Author :
Chowdhury, A.A. ; Koval, Don O.
Author_Institution :
Transmission & Distribution Planning, MidAmerican Energy Co., Davenport, IA, USA
Abstract :
In the past, electric utilities were continuously adding more facilities to their systems in order to satisfy the growing customer energy requirements. A utility industry traditionally has relied on a set of deterministic criteria to guide transmission planning. The traditional planning guidelines were based on planner´s experience and intuition without a formal and consistent framework for their development. This paper identifies some of the limitations of traditional utility transmission system planning criteria and the possible implications for industrial and commercial customers. The primary objective of probabilistic planning criteria and techniques presented in this paper as opposed to the rules-of-thumb-based planning criteria is to guide transmission system planners in balancing system cost and reliability performance. Contingency ranking has been used as a method of rationalizing system reliability enhancement projects with value-based concepts. This paper presents Alberta Power Limited´s criteria review and development of system reliability planning criteria based on contingency ranking and 12 years of historical equipment performance data
Keywords :
power transmission planning; power transmission reliability; probability; Alberta Power Limited; commercial customers; contingency ranking; customer energy requirements; deregulated transmission system reliability planning; deterministic criteria; electric utilities; historical equipment performance data; industrial customers; probabilistic planning criteria; reliability performance; rules-of-thumb-based planning criteria; traditional planning guidelines; value-based concepts; Costs; Electrical equipment industry; Electricity supply industry; Guidelines; Industrial power systems; Meeting planning; Power generation; Power industry; Power system planning; Power system reliability;
Journal_Title :
Industry Applications, IEEE Transactions on