Abstract
This article presents an innovative fuzzy-enabled fractional order proportional-integral-derivative (Fuzzy-FOPID) controller for automatic generation control (AGC) of a dual control area amalgamated power framework. Because of the convergence superiority, the parameters for the fuzzy-FOPID controllers are calibrated with the newly developed optimization strategy termed as squirrel search algorithm (SSA). A disturbance having an extent of 0.01 p.u. is applied to control area-1 to check the performance of the proposed system. Toward the finish of the investigation, the implementation of the fuzzy-FOPID controller was contrasted against fuzzy-enabled PID, traditional PID controllers regarding peak and least overshoots, settling time, relaxing time and steady-state error. The efficiency of the projected SSA tuned fuzzy-FOPID controller has been evidenced by intensifying the loading of the system.
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Singh, M.B., Pal, S., Mohanty, S., Debnath, M.K. (2020). Use of Fuzzy-Enabled FOPID Controller for AGC Investigation Utilizing Squirrel Search Algorithm. In: Patnaik, S., Ip, A., Tavana, M., Jain, V. (eds) New Paradigm in Decision Science and Management. Advances in Intelligent Systems and Computing, vol 1005. Springer, Singapore. https://doi.org/10.1007/978-981-13-9330-3_35
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DOI: https://doi.org/10.1007/978-981-13-9330-3_35
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