Vector Ordinal Optimization based Multi-Objective Transmission Planning

X. Min and Z. Jin (PRC)


Transmission expansion planning, vector ordinal optimization, multiobjective optimization.


With the deregulation of power industry, considering the different interests of different market participants, it is necessary to model the transmission expansion planning problem as a multi-objective optimization problem, which is very complicate to solve. In this paper, the vector ordinal optimization theory is introduced to obtain the “good enough” solutions for the multi-objective transmission expansion planning problem. Vector ordinal optimization uses crude models and rough estimates to determine a selected subset of schemes for the accurate simulation to find the good enough solutions based on the given alignment level. The calculation burden has been reduced significantly by using this method. Test results on the modified IEEE 14-bus system show that the vector ordinal optimization is efficient and practical for solving multi-objective transmission expansion planning problems.

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