DocumentCode :
1778118
Title :
Transmission expansion planning for wind turbine integrated power systems considering contingencies
Author :
Ugranli, Faruk ; Karatepe, Engin
Author_Institution :
Dept. of Electr.-Electron. Eng., Ege Univ., Izmir, Turkey
fYear :
2014
fDate :
23-25 June 2014
Firstpage :
350
Lastpage :
355
Abstract :
Increasing penetration level of wind turbines in power systems reveal new challenges for the power system planners. Transmission expansion planning is one of the most important planning problems to maintain secure and reliable operation of power systems. In this study, a new transmission expansion planning methodology considering N-1 contingency conditions is proposed to find the location of new transmission lines while minimizing investment cost and curtailed wind energy. To deal with the uncertainty of load and output power of wind turbines, fuzzy clustering based probabilistic method is used for determination of load and wind scenarios. Proposed methodology uses the DC-power flow equations based optimal power flow and integer genetic algorithm to determine the locations of new assets and it is applied to the modified IEEE 24-bus test system.
Keywords :
fuzzy set theory; genetic algorithms; load flow; power system security; power transmission lines; power transmission planning; power transmission reliability; wind turbines; DC-power flow equations; IEEE 24-bus test system; N-1 contingency conditions; fuzzy clustering based probabilistic method; integer genetic algorithm; investment cost minimization; power system operation reliability; power system operation security; power system planning; transmission expansion planning; transmission lines; wind energy; wind turbine integrated power systems; Genetic algorithms; Investment; Planning; Power transmission lines; Wind energy; Wind power generation; Transmission expansion planning; contingency; genetic algorithm; optimal power flow; uncertainty; wind turbine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014 IEEE International Symposium on
Conference_Location :
Alberobello
Print_ISBN :
978-1-4799-3019-7
Type :
conf
DOI :
10.1109/INISTA.2014.6873643
Filename :
6873643
Link To Document :
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