Transmission Expansion Planning Considering Ambiguities Using Fuzzy Modeling

This paper discusses the use of fuzzy set theory to deal with the problem of choosing the best transmission system expansion plan (TSEP) considering the permissibility and ambiguity of the investment budget for constructing new transmission lines and the delivery marginal rate of the system (reliability criterion) while only a very limited size database is available to evaluate reliability indices. The optimal strategy is a reasonable and flexible plan that would not be significantly change due to changes in the surrounding situation. This can be seen as solving the TESP problem for the highest satisfaction level of the decision maker. Test results indicate viability and effectiveness of an approach that models the transmission expansion problem considering practical ambiguities as a fuzzy integer programming problem. It uses the branch and bound method that utilizes a network flow approach and the maximum flow-minimum cut set theorem