A hybrid planning method for transmission networks in a deregulated environment


Autoria(s): Xu, Zhao; Dong, Zhao Yang; Wong, Kit Po
Contribuinte(s)

M. Bhavaraju

Data(s)

05/07/2006

Resumo

The reconstruction of power industries has brought fundamental changes to both power system operation and planning. This paper presents a new planning method using 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 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.

Identificador

http://espace.library.uq.edu.au/view/UQ:23864/TPWRS-00022-2005.R3.pdf

http://espace.library.uq.edu.au/view/UQ:23864

Idioma(s)

eng

Publicador

IEEE-Inst Electrical Electronics Engineers Inc

Palavras-Chave #Electricity market #Power system planning #Power system analysis #Evolutionary computing #Optimisation #Power markets #power transmission planning #optimisation #290901 Electrical Engineering #340205 Industry Economics and Industrial Organisation #280212 Neural Networks, Genetic Alogrithms and Fuzzy Logic #230119 Systems Theory and Control #230118 Optimisation #230117 Operations Research #230116 Numerical Analysis #660301 Electricity transmission #C1
Tipo

Journal Article