Power system security enhancement in FACTS devices based on Yin–Yang pair optimization algorithm.

Nowadays, the power system security investigation performs a vital part so as to step up the system security with a view to keep at bay the prospect of system breakdown scenarios. With the ever-zooming power transfer, the hassles encountered by the power system have assumed alarming proportions of added intricacy with dwindling security of the power system in the power industry. In the paper, an enhanced optimal technique is proposed for solving the optimal power flow (OPF) issues with uncertainties. An enhanced technique is the Yin–Yang Pair Optimization algorithm, which is based on maintaining a balance between exploration and exploitation of the search space. Initially, the OPF is analyzed with the N–R approach and after that, the FACTS devices-based power flow is analyzed. The FACTS devices are considered as STATCOM, UPFC and IPFC devices, after the placement of FACTS devices as contingency is relived. Initially, the multi-objective function is defined and the power losses, voltage deviation, investment cost and fuel cost are analyzed. For the OPF analysis, multi-objective functions are considered under the uncertainty period. The proposed method is tested with the IEEE 30- and IEEE 118-bus system, and the corresponding line loading, line outage, generator outage, both outage and bus voltage impact are analyzed. To verify the performances of the proposed method, it is compared with the traditional methods such as Particle Swarm Optimization, Firefly Algorithm, ant Lion Optimization and Bat Optimization. The proposed method is implemented in MATLAB platform and tested with the various cases. [ABSTRACT FROM AUTHOR]