A novel hybrid AGWO-PSO algorithm in mitigation of power network oscillations with STATCOM

Abstract

The assimilation of flexible AC transmission (FACTS) controllers to the existing power network outweigh the numerous alternatives in enhancing the damping behavior for the inter-area /intra-area system oscillations of a power network. This paper provides a rigorous analysis in damping of oscillations in a power network. It utilizes a shunt connected voltage source converter (VSC) based FACTS device to enhance the system operating characteristics. A comprehensive system mathematical modelling has been developed for demonstrating the system behavior under different loading conditions. A novel hybrid augmented grey wolf optimization-particle swarm optimization (AGWO-PSO) is proposed for the coordinated design of controllers static synchronous compensator (STATCOM) and power system stabilizers (PSSs). A multi-objective function, comprising damping ratio improvement and drifting the real part to the left-hand side of S-plane of the system poles, has been developed to achieve the objective and the effectiveness of the proposed algorithms have been analyzed by monitoring the system performance under different loading conditions. Eigenvalue analysis and damping nature of the system states under perturbation have been presented for the proposed algorithms under different loading conditions, and the performance evaluation of the proposed algorithms have been done by means of time of execution and the convergence characteristics.

Archives of Electrical Engineering

“…To tackle this issue, for the efficient search capability and balance between exploration and exploitation [27][28][29], weights have been defined in the proposed WGWO approach. Hence, the position update function can be derived using (4).…”

“…The role of automatic voltage regulators (AVRs), power system stabilizers (PSSs) is vital, where placements of flexible alternating current transmission system (FACTS) controllers have also been recommended in the literature. The parameter settings of these controllers play also a prominently vital role, for which various tuning algorithms are proposed in the literature [4,5]. It has been observed that there are various novel methods proposed in the literature for effective damping of low-frequency power oscillations in a power network.…”

Gray wolf optimization‐based optimal grid connected solar photovoltaic system with enhanced power quality features

“…The wolves' hunting strategy and position updating strategy are balanced by some crucial mathematical parameters that provide a rich diversification and intensification methodology in mapping the search space for the best possible solution. Moreover, GWO eliminates the possible demerits of getting stuck in local minima and a larger number of tuning parameters 31–34 . Hence, GWO is preferred over other meta‐heuristic algorithms.…”