An inexact fuzzy model for electric power generation systems planning

Author

Qing Hu ; Guohe Huang ; Wei Li

Author_Institution

MOE Key Lab. of Regional Energy Syst. Optimization, North China Electr. Power Univ., Beijing, China

fYear

2012

fDate

18-20 Sept. 2012

Firstpage

1

Lastpage

4

Abstract

In this study, a lower-side attainment values based inexact fuzzy programming (LA-IFP) approach is developed for supporting regional electric power generation systems (REPGS) planning under uncertainties. It can tackle uncertainties expressed as intervals, fuzzy sets as well as their combination in REPGS planning problems. Fuzzy relationships in the model can be transformed into corresponding deterministic ones without additional constraints. A hypothetical but representative REPGS is adopted to demonstrate its applicability. Reasonable energy supply, electricity generation, capacity expansion and emission mitigation plans are generated with minimized system costs.

Keywords

fuzzy set theory; power generation planning; LA-IFP approach; REPGS planning problems; fuzzy relationships; fuzzy sets; inexact fuzzy model; lower-side attainment values based inexact fuzzy programming approach; regional electric power generation systems planning; Availability; Electricity; Fuzzy sets; Hydroelectric power generation; Planning; Uncertainty; Wind power generation; electric power generation system; emission mitigation; lower-side attainment value; s;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering and Automation Conference (PEAM), 2012 IEEE

Conference_Location

Wuhan

Print_ISBN

978-1-4577-1599-0

Type

conf

DOI

10.1109/PEAM.2012.6612524

Filename

6612524