2009
DOI: 10.1109/tpwrs.2009.2016499
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A Multi-Objective Framework for Transmission Expansion Planning in Deregulated Environments

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Cited by 196 publications
(133 citation statements)
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“…The existing methods to determine TCOR only take the general failures into considersation but fail to evaluate the significant impacts from the meteorological disaster which happens more and more frequently than ever before. Constraints The TEP should not only meet the demand increase and all types of electricity transactions but comply with the power supply quality and security standards [1][2][3][4][5]10]. A large number of constraints exist in the TEP.…”
Section: General Optimization Model Of Multi-objective Tepmentioning
confidence: 99%
See 1 more Smart Citation
“…The existing methods to determine TCOR only take the general failures into considersation but fail to evaluate the significant impacts from the meteorological disaster which happens more and more frequently than ever before. Constraints The TEP should not only meet the demand increase and all types of electricity transactions but comply with the power supply quality and security standards [1][2][3][4][5]10]. A large number of constraints exist in the TEP.…”
Section: General Optimization Model Of Multi-objective Tepmentioning
confidence: 99%
“…The purpose of TEP is to design an electricity transmission network as economical as possible while providing a reliability power supply. How to determine the cost-effective TEP scheme is one of the most challenging optimization problems of power system due to the mathematical formulation which leads to a complicated, integer-valued, non-convex, non-linear mathematical programming problem, especially when the system size is enlarged [1]- [5].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, various methods have been introduced to demonstrate the reasonable application to practical TNEP and can be classified by using the mathematical optimization models and heuristic methods [1][2]. Recently, TNEP has been modeled through probabilistic method to keep security and reliability criteria as well as power market concepts [3][4][5][6][7][8]. The main focus of these methods is minimizing the total costs or investment capital, and maximizing in social welfare or investor's benefits [7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…• Introducing methods to simultaneously satisfy multiple criteria such as competition, reliability, investment cost, operational cost and congestion cost [9][10][11][12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%
“…• Applying meta-heuristic optimization methods such as genetic algorithm [10,14], expert system (ES) [19], fuzzy-set theory [9,10], Pareto-based solution technique [20], Simulated Annealing [21] and LPBased Particle Swarm Optimization [22] to solve TEP.…”
Section: Introductionmentioning
confidence: 99%