In this paper the diakoptics-based branch-tearing method for solving large electric networks, known as the Multi-Area Thévenin Equivalents (MATE), is combined with the alternating method for parallelizing the transient stability simulations of bulk power systems. In the proposed framework, equations associated with dynamic and static devices and passive network are distributed among computing processes. The paper discusses an implementation of the parallel transient stability simulator along with results for two power systems with about 4,000 and 15,000 buses, both based on the Brazilian Interconnected Power System. Performance metrics for assessing the effectiveness of the proposed methodology are also presented and discussed. In order to validate the implementation, the results are also compared with those from an industrial-grade transient stability program, ANATEM developed by CEPEL.

This paper describes a methodology to identify potential conflicts among power flow control devices that may slow down or impair convergence. The proposed methodology is based on the eigenvalue analysis of the sparse Jacobian matrix associated with the Newton power flow with controls. Practically identical results are obtained from a smaller control sensitivity matrix. The implementation in a power flow program has been tested using both small- and large-scale systems. The results presented validate and clearly indicate the effectiveness of the proposed technique.