Wide-area power system stabilizer design based on Grey Wolf Optimization algorithm considering the time delay

• A wide-area power system stabilizer (WAPSS) has been investigated.
• A new multi-objective function is proposed to design of the WAPSS.
• The time delays and the gain of the WAPSS are included in the objective function.
• To have a minimum phase WAPSS constraints are applied to the objective function.
• The Gray Wolf Optimization algorithm is used to optimize the objective function.

This paper proposes a method for designing wide-area power system stabilizer (WAPSS) based on the Grey Wolf Optimization (GWO) algorithm. The stabilizer is used to damp the inter-area oscillations by considering the communication latency which is related to the remote feedback signals. For this reason, a new multi-objective function is proposed for the design of the WAPSS. In this function, in addition to improving the stability of the system by displacing the critical modes, the stabilizer is designed in the minimum-phase with a less control gain. In this method, the maximum delay margin in which the closed-loop power system can remain stable can also be optimally identified.The proposed approach is tested in a small and a large multi-machine power system. The nonlinear simulation results and eigenvalues analysis have demonstrated that the approach which has been proposed in this article is highly effective in damping the inter-area oscillations as well as compensating for the destructive effects of the communication delay on the remote feedback signals.