An analysis of the security of multi-area power transmission lines using fuzzy-ACO Academic Article in Scopus uri icon

abstract

  • As green energy becomes more popular and is integrated into the power system, their integration causes unnecessary burden on transmission lines. It is important to evaluate the performance of transmission lines in the worst case scenario in order to ensure the reliability and security of the power system. The performance of a transmission line is evaluated under contingency conditions, a fuzzy-based composite contingency ranking index is proposed here. There can be no primary key to analyzing the stability of transmission lines based only on the voltage stability index. A composite index is proposed here for overall transmission line security analysis that includes an active and reactive power flow violation index as well as an index of voltage stability. In this paper, contingency ranking of the transmission line and tie-lines of a multi-area power system network is done by using fuzzy logic based composite contingency ranking index. For an IEEE-39 bus system, the indices are calculated using the optimal power flow program in a MATLAB environment. The sink area condition is also improved by analyzing area-wise contingency ranking. An ant colony optimization (ACO) algorithm has been proposed for the first time in order to minimize the transmission active and reactive power losses during contingencies in order to increase the power flow through other transmission lines. The proposed algorithm can be used for any multi area power system network for contingency ranking and reducing the active, reactive line losses.

publication date

  • August 15, 2023