Abstract
A methodology to optimise the reliability of a composite power system utilising an evolutionary algorithm is developed. The methodology uses optimal assignment of shunt compensation in nodes and parallel redundancy in lines with the highest participation in stationary voltage instability, subject to economic constraints. The minimum singular value (MSV) technique applying the reduced Jacobian matrix of the system is utilised to evaluate stationary voltage instability. The methodology is applied to an eastern area equivalent of the Mexican grid. Results are presented for several parameters of the evolutionary algorithm, showing evolutionary algorithms as a powerful and robust tool for the solution of complex optimisation problems.
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