Title :
A decision making method for congested transmission lines of KEPCO system
Author :
Cha, Jun-Min ; Oh, Kwang-Hae ; Lee, Byongjun ; Song, Kil-Yeong
Author_Institution :
Dept. of Electr. Eng., Daejin Univ., Pocheon, South Korea
Abstract :
In this paper, fuzzy theory is used to quantify some subjective criteria to consider uncertain factors for transmission line reinforcement planning. As it can be easily applied to multi attribute decision making problems such as power system planning, Sugeno´s fuzzy integral is also used in the proposed method to verify the proposed algorithm, some bottle-neck lines are searched for the case that the amount of maximal load supplying capability (MLSC) is small using the results of contingency analysis for Korea Electric Power Corporation (KEPCO)´s 345 kV transmission line in 1998. Several feasible alternatives are composed for line reinforcement which can solve the bottle-neck problem in the KEPCO system
Keywords :
decision theory; fuzzy set theory; power transmission lines; power transmission planning; 345 kV; KEPCO system; Korea Electric Power Corporation; Sugeno´s fuzzy integral; bottle-neck lines; congested transmission lines; contingency analysis; decision making method; fuzzy theory; line reinforcement; maximal load supplying capability; multi attribute decision making problems; power system planning; transmission line reinforcement planning; Costs; Decision making; Fuzzy sets; Fuzzy systems; Power system analysis computing; Power system planning; Power system reliability; Power transmission lines; Transmission line theory; Transmission lines;
Conference_Titel :
Power System Technology, 2000. Proceedings. PowerCon 2000. International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-6338-8
DOI :
10.1109/ICPST.2000.898178
