Utilizing Bulk Electric System Reliability Performance Index Probability Distributions in a Performance Based Regulation Framework

Author

Billinton, Roy ; Wangdee, Wijarn

Author_Institution

Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask.

fYear

2006

fDate

11-15 June 2006

Firstpage

1

Lastpage

6

Abstract

Parameter distribution analysis and its potential utilization are relatively new concepts in bulk electric system (BES) reliability assessment and decision making. Sequential Monte Carlo simulation is used in this paper to assess the annual variability of BES reliability performance indices. The potential utilization of BES reliability performance index probability distributions is demonstrated by application to the performance based regulation (PBR) concept, proposed by policymakers involved in deregulating the electric power industry. Reliability performance measures such as SAIFI and SAIDI can be used as integral elements in a PBR mechanism to provide power utilities with economic incentives to maintain and improve service reliability, and at the same time to discourage them from sacrificing service reliability in the pursuit of economic objectives. The basic concepts of BES reliability performance index probability distributions associated with a PBR protocol are illustrated in this paper by application to the IEEE-RTS and RBTS using simulation results, and by application using actual historical reliability data

Keywords

Monte Carlo methods; decision making; electricity supply industry deregulation; incentive schemes; performance index; power system reliability; power system simulation; statistical distributions; BES; IEEE-RBTS; IEEE-RTS; SAIDI; SAIFI; bulk electric system; decision making; economic incentives; electric power industry deregulation; parameter distribution analysis; performance based regulation framework; probability distributions; reliability performance index; sequential Monte Carlo simulation; Bioreactors; Decision making; Maintenance; Performance analysis; Power generation economics; Power measurement; Power system reliability; Probability distribution; Protocols; Time measurement; Bulk electric system (BES); performance based regulation (PBR); reliability performance indices; sequential Monte Carlo simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on

Conference_Location

Stockholm

Print_ISBN

978-91-7178-585-5

Type

conf

DOI

10.1109/PMAPS.2006.360220

Filename

4202232