In Interconnected power systems are operated near to their stability operating points due to heavy and time changing electrical energy demands. In the event of unsymmetrical faults inadequate performance shown by the conventional power system stabilizers, which leads to power system instability. Grey wolf optimizer algorithm based Fractional order power system stabilizer (GWOFOPSS) proposed in this paper for stability enhancement. GWO algorithm is new evolutionary algorithm that allows hierarchical order in the optimization and so ensures global optimum. The objective function (OF) is formulated as integral time area error (ITAE). The parameters of FOPSS are evaluated by minimizing the OF using grey wolf algorithm. Deviations of electrical power, deviations of speed, deviations of load angle, deviations of frequency and deviations of rotor angle are considered as performance parameters to demonstrate the effectiveness of GWO-FOPSS. The proposed controller is applied on modified three machine nine bus system (out of the three areas one area is formed as micro-grid by including DFIG in that area) and MATLAB environment used for this implementation. The efficiency compared with integer order power system stabilizer (IOPSS) at different unsymmetrical faults (transient conditions) and various operating conditions (dynamic conditions). Results demonstrated that proposed controller is effectively enhancing dynamic and transient stabilities compared with IOPSS.
Volume 12 | Issue 6
Pages: 2024-2033
DOI: 10.5373/JARDCS/V12I2/S20201408