DocumentCode :
923965
Title :
A hybrid planning method for transmission networks in a deregulated environment
Author :
Xu, Zhao ; Dong, Zhao Yang ; Wong, Kit Po
Author_Institution :
Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, St. Lucia, Australia
Volume :
21
Issue :
2
fYear :
2006
fDate :
5/1/2006 12:00:00 AM
Firstpage :
925
Lastpage :
932
Abstract :
The reconstruction of power industries has brought fundamental changes to both power system operation and planning. This paper presents a new planning method using a multi-objective optimization (MOOP) technique, as well as human knowledge, to expand the transmission network in open-access schemes. The method starts with a candidate pool of feasible expansion plans. Consequent selection of the best candidates is carried out through a MOOP approach, of which multiple objectives are tackled simultaneously, aiming at integrating the market operation and planning as one unified process in context of a deregulated system. Human knowledge has been applied in both stages to ensure the selection with practical engineering and management concerns. The expansion plan from MOOP is assessed by reliability criteria before it is finalized. The proposed method has been tested with the IEEE 14-bus system, and relevant analyses and discussions have been presented.
Keywords :
optimisation; power markets; power transmission planning; IEEE 14-bus system; deregulated environment; hybrid planning method; market operation; multiobjective optimization technique; open-access schemes; power industry reconstruction; power system operation; transmission networks; Engineering management; Humans; Hybrid power systems; Knowledge engineering; Knowledge management; Optimization methods; Power industry; Power system planning; Process planning; Reliability engineering; Electricity market; goal programming; multi-objective optimization; transmission planning;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2006.873134
Filename :
1626399
Link To Document :
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