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https://doi.org/10.1007/s12652-019-01348-5
Copy DOIPublication Date: Jun 29, 2019 | |
Citations: 17 |
A new evolutionary optimisation technique, namely hybrid flower pollination and pattern search (hFPA-PS) technique is developed to tune output feedback sliding mode controller (OFSMC)for a multi-sources interconnected deregulated automatic generation control (AGC) system. The developed algorithm is justified considering popular benchmark functions. The developed algorithm is applied first time for the AGC system, to tune parameters of different classical controllers. The supremacy of recommended approach is established by competing the dynamic system performances with FPA, fruit fly optimization (FOA) and particle swarm optimization (PSO) technique for different power scenario for different classical controllers. Dynamic response of the system with hFPA-PS optimized OFSMC is established to be better than the classical controllers. The dynamic response of the system is analysed in the presence of generation rate constraint (GRC), governor dead band (GDB) and time delay. Additionally, the supremacy of recommended approach is analysed with sensitivity analysis, under uncertainty of system parameters.
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