Zonal partitioning of deregulated power systems using fuzzy Monte Carlo simulation

Author

Sajjadi, Mina ; Raoofat, Mehdi

Author_Institution

Shiraz Univ., Shiraz

fYear

2008

fDate

1-3 Dec. 2008

Firstpage

1189

Lastpage

1193

Abstract

Zonal partitioning of power market occurs due to some deficiencies in transmission or generation system. In new deregulated environments removing zonal partitions and market unification is an important goal for transmission expansion planning. The first step in process of unification is determination of zones. This paper presents a new approach for zonal partitioning of the power markets using a novel fuzzy Monte Carlo simulation considering both probabilistic and possibilistic features of the forecasted system load. The work is illustrated using 30-node IEEE test system.

Keywords

Monte Carlo methods; fuzzy set theory; power markets; power transmission economics; power transmission planning; 30-node IEEE test system; deregulated power systems; fuzzy Monte Carlo simulation; market unification; power market; transmission expansion planning; zonal partitioning; Fuzzy systems; Load forecasting; Load modeling; Power markets; Power system modeling; Power system planning; Power system simulation; Power transmission lines; Pricing; Uncertainty; deregulated power system; fuzzy c-means clustering; fuzzy monte carlo simulation; market uncertainties; zonal partitioning;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Conference, 2008. PECon 2008. IEEE 2nd International

Conference_Location

Johor Bahru

Print_ISBN

978-1-4244-2404-7

Electronic_ISBN

978-1-4244-2405-4

Type

conf

DOI

10.1109/PECON.2008.4762656

Filename

4762656