Dynamic equivalence by an optimal strategy

Due to the curse of dimensionality, dynamic equivalence remains a computational tool that helps to analyze large amount of power systems’ information. In this paper, a robust dynamic equivalence is proposed to reduce the computational burden and time consuming that the transient stability studies of large power systems represent. The technique is based on a multi-objective optimal formulation solved by a genetic algorithm. A simplification of the Mexican interconnected power system is tested. An index is used to assess the proximity between simulations carried out using the full and the reduced model. Likewise, it is assumed the use of information stemming from power measurements units (PMUs), which gives certainty to such information, and gives rise to better estimates.

► Dynamic equivalents are reviewed. ► The dyamic equivalence is formulated as a multi-objective optimization problema. ► Applications to an actual power network are presented.