A hybrid planning method for transmission networks in a deregulated environment

Xu, Zhao, Dong, Zhao Yang and Wong, Kit Po (2006) A hybrid planning method for transmission networks in a deregulated environment. IEEE Transactions on Power Systems, 21 2: 925-932. doi:10.1109/TPWRS.2006.873134

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Author Xu, Zhao
Dong, Zhao Yang
Wong, Kit Po
Title A hybrid planning method for transmission networks in a deregulated environment
Journal name IEEE Transactions on Power Systems   Check publisher's open access policy
ISSN 0885-8950
Publication date 2006-07-05
Sub-type Article (original research)
DOI 10.1109/TPWRS.2006.873134
Open Access Status File (Author Post-print)
Volume 21
Issue 2
Start page 925
End page 932
Total pages 8
Editor M. Bhavaraju
Place of publication Piscataway
Publisher IEEE-Inst Electrical Electronics Engineers Inc
Collection year 2006
Language eng
Subject 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
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 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.
Keyword Electricity market
Power system planning
Power system analysis
Evolutionary computing
Power markets
power transmission planning
Q-Index Code C1

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Citation counts: TR Web of Science Citation Count  Cited 21 times in Thomson Reuters Web of Science Article | Citations
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Created: Thu, 05 Jul 2007, 14:00:38 EST by Zhao Yang Dong on behalf of School of Information Technol and Elec Engineering