Abstract
This manuscript analyses a case study of a wind-integrated power plant where an Arithmetic Optimization Algorithm-based Model Predictive Controller (AOA-MPC) has been employed for the combined control of voltage and frequency. The work in this manuscript considers stochastic variations in wind output caused by the small stochastic drifts and sudden deterministic shifts in the wind turbine output. The proposed controller’s performance has been judged after assessing the time response performance specifications/indices and comparing it with the existing recent methodologies available in the literature. Further improvement in frequency oscillations reduction has been obtained while considering the Redox Flow Battery (RFB) loop as an auxiliary Load Frequency Control loop. Moreover, the computational potential of the presented algorithm has been tested under different nonlinearities and time delay cases in the Area Control Error (ACE) of the load frequency control (LFC) loop.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
