Abstract
Here an advanced Mamdani-based fuzzy proportional–integral (MFPI) controller is employed over a two-area solar-thermal interconnected system for LFC. The tuning of constraints of the recommended MFPI controller is accomplished by binary grey wolf optimization (BGWO) technique. The application of an abrupt disruption of 1% load is taken in control area 1, and for tuning process ITAE is being considered as the objective function. The offered work reflects two dissimilar sources of generating system, namely, a solar and a reheat thermal unit. The toughness of the planned controller is further placed to investigate by introducing a time delay. Investigations of the dynamic features of the arrangement are accomplished in view of various dynamics response indices, i.e. peak overshoot, settling time and least undershoot. Throughout the investigation, the attained finest values are compared with conventional PID method so as to demonstrate the ascendancy of this presented controller.
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Debnath, M.K., Satapathy, P. (2019). Mamdani-Based Fuzzy PI Controller Tuned by Binary GWO Technique for LFC Problem in Solar-Thermal Interconnected System. In: Mishra, S., Sood, Y., Tomar, A. (eds) Applications of Computing, Automation and Wireless Systems in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 553. Springer, Singapore. https://doi.org/10.1007/978-981-13-6772-4_8
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DOI: https://doi.org/10.1007/978-981-13-6772-4_8
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