An attempt has been made to analyze the model of automatic generation control (AGC) of a two unequal interconnected deregulated power systems using LabVIEW. In this study, teaching–learning process-inspired algorithm, i.e., TLBO is employed for tuning the gains of PID controller. This study portrays the investigation of an AGC for two-area power system with PID, DE-based PID, and TLBO-enhanced PID. The execution of TLBO-PID is discovered and enhanced in contrast with PID, DE-PID controller as far as stability, overshoot, and damping. The inclusion of generation rate constraint (GRC) leads to difficult task for the design of successful controller. The difficulty is improved by step and random load variation. Examination demonstrates that TLBO improves and optimizes the control parameters at different loading conditions and wide change in sustainable power source, area capacity ratio. Consequently, incorporation of thermal power–concentrating solar power (CSP) for AGC has improved the interconnected power system.
CITATION STYLE
Mishra, D. K., Panigrahi, T. K., Mohanty, A., & Ray, P. K. (2019). Integrating Concentrating Solar Plant-Based System in Multi-area AGC Using LabVIEW. In Lecture Notes in Networks and Systems (Vol. 40, pp. 675–686). Springer. https://doi.org/10.1007/978-981-13-0586-3_66
Mendeley helps you to discover research relevant for your work.