Adequacy Evaluation of Bulk Power Systems via Combination of Monte Carlo Simulation and Artificial Immune Recognition System

Author

Wang, Lingfeng ; Singh, Chanan

Author_Institution

Electr. & Comput. Eng. Dept., Texas A&M Univ., College Station, TX

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

1

Lastpage

6

Abstract

Monte Carlo simulation (MCS) is very useful in adequacy evaluation of complex power systems. However, it may be time-consuming when power flow analysis is needed to determine the status of each system state. In this study, we combine Monte Carlo simulation and artificial immune recognition system (AIRS), an effective classifier for imbalanced data set, in order to expedite the state evaluation process. An IEEE Reliability Test System is used for the simulation study. Numerical studies are conducted to show the effectiveness of the proposed method in approximating the loss of load probability (LOLP) with and without incorporating transmission line outages.

Keywords

Monte Carlo methods; artificial immune systems; load flow; transmission networks; Monte Carlo simulation; artificial immune recognition system; bulk power systems; complex power system adequacy evaluation; load probability loss; power flow analysis; transmission line outages; Load flow; Load flow analysis; Pattern recognition; Power generation; Power system analysis computing; Power system reliability; Power system simulation; Power transmission lines; Reactive power; System testing; Adequacy evaluation; Monte Carlo simulation; artificial immune recognition system; bulk power transmission systems; optimal power flow; state classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Power System Technology and IEEE Power India Conference, 2008. POWERCON 2008. Joint International Conference on

Conference_Location

New Delhi

Print_ISBN

978-1-4244-1763-6

Electronic_ISBN

978-1-4244-1762-9

Type

conf

DOI

10.1109/ICPST.2008.4745320

Filename

4745320