Abstract
Automatic generation control plays vital role to change generation with respect to load changes. In the existing research work, the non linearity, noise and settling time is predominant which significantly affect the load sharing between various operating area and independent generators. The objective of this paper is to design modern hybrid control strategies implementing artificial intelligence techniques to enhance the control performance of multi area automatic generation control of thermal-thermal power plant schemes. One of the vital concerns to enrich the stability of automatic generation control is due to non linearity involved inside control signal during load changes. The major incompetence of existing conventional control scheme is high settling time, high operational noise, high rise time and peak overshoot. The proposed fuzzy-PID hybrid control scheme has surpassed all mentioned limitations of existing one. A modified hybrid fuzzy—PID based control scheme is presented to enrich stability, decay noise, diminish rise time and peak overshoot to optimize control action of multi area automatic generation control scheme. The ultramodern fuzzy—PID based hybrid control scheme is more efficient. The safety and reliability aspects of recommended scheme have been enhanced. Furthermore, simulations have been made using MATLAB Simulink, results have been examined and dynamic performances have been evaluated, showing the performance of our application.
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Parida, S.C., Tayal, V.K., Sinha, S.K. (2022). Improved Control Design for AGC of Two Area Thermal-Thermal Power System Using Hybrid Fuzzy-PID Control. In: Natarajan, S.K., Prakash, R., Sankaranarayanasamy, K. (eds) Recent Advances in Manufacturing, Automation, Design and Energy Technologies. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-4222-7_83
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DOI: https://doi.org/10.1007/978-981-16-4222-7_83
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