| Abstract: |
| In this paper, a Sliding mode controller design method for frequency regulation in an interconnected power
system is presented. A sliding surface having four parameters has been selected for the load frequency control
(LFC) system model. In order to achieve an optimal result, the parameter of the controller is obtained by grey wolf
optimization (GWO) and particle swarm optimization (PSO) techniques. The objective function for optimization has
been considered as the integral of square of error of deviation in frequency and tie-line power exchange. The
method has been validated through simulation of a single area as well as a multi-area power system. The
performance of the Sliding mode controller has also been analyzed for parametric variation and random loading
patterns. The performance of the proposed method is better than recently reported methods. The performance of
the proposed Sliding mode controller via GWO has 88.91% improvement in peak value of frequency deviation over
the method of Anwar and Pan in case study 1 and similar improvement has been observed over different case
studies taken from the literature. |
| Key words: Load frequency control, Sliding mode control (SMC), Grey wolf optimization, Particle swarm
optimization, Multi-area power system |
| DOI：10.1186/s41601-021-00183-1 |
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| Fund: |
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