A Multi-Objective Framework for Transmission Expansion Planning in Deregulated Environments

Deregulation of power system has introduced new objectives and requirements for transmission expansion problem. In this paper, a static transmission expansion methodology is presented using a multi-objective optimization framework. Investment cost, reliability (both adequacy and security), and conge...

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Bibliographic Details
Published in:IEEE transactions on power systems 2009-05, Vol.24 (2), p.1051-1061
Main Authors: Maghouli, P., Hosseini, S.H., Buygi, M.O., Shahidehpour, M.
Format: Article
Language:English
Subjects:
Algorithm design and analysis
Algorithms
Cost function
Decision making
Deregulation
Fuzzy
Fuzzy logic
Fuzzy satisfying method
genetic algorithm
Genetics
Investments
Methodology
Mixed integer
multi-objective optimization
NSGA II
Optimization
Optimization methods
Power system planning
Power system reliability
Power system security
System testing
transmission expansion planning
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Summary:Deregulation of power system has introduced new objectives and requirements for transmission expansion problem. In this paper, a static transmission expansion methodology is presented using a multi-objective optimization framework. Investment cost, reliability (both adequacy and security), and congestion cost are considered in the optimization as three objectives. To overcome the difficulties in solving the nonconvex and mixed integer nature of the optimization problems, the genetic based NSGA II algorithm is used followed by a fuzzy decision making analysis to obtain the final optimal solution. The planning methodology has been demonstrated on the IEEE 24-bus test system to show the feasibility and capabilities of the proposed algorithm. Also, in order to compare the historical expansion plan and the expansion plan developed by the proposed methodology, it was applied to the real life system of northeastern part of Iranian national 400-kV transmission grid.
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2009.2016499