Small signal stability enhancement of large interconnected power system using grasshopper optimization algorithm tuned power system stabilizer

Abstract

This chapter reports a relatively new method to optimize the design of power system stabilizers. Small scale disturbances are a common occurrence in large-scale systems (interconnected), and presence of oscillations in the low-frequency (LFO) range present a major problem. Therefore, small signal stability study of a system is of utmost importance to assess its performance and stability. Power System Stabilizers (PSS) finds use in interconnected networks in damping LFOs. In this chapter, grasshopper optimization algorithm (GOA) has been applied to find the optimal control parameters in designing of PSS. Optimal tuned parameters are obtained to improve the objective function (OF) which comprises of eigenvalues as well as damping ratios of the lightly damped electromechanical modes. Comparison of the results obtained using GOA with those of symbiotic organisms search (SOS) and water evaporation algorithm (WEA), established superiority of GOA for designing of PSS under varied operating conditions like line outages, load variations etc. Damping ratio using GOA improved by 10.11% and 4.23% for light load condition, by 11.24% and 4.52% for normal load condition and 13.7% and 2.06% for high load condition as compared to WEA and SOS respectively.