A Novel Levy-Flight Arithmetic Optimizer for Security Constrained Unit Commitment Problem in Renewable Hybrid Power System for Reliability

The power system security has been extensively important in renewable hybrid energy system due to its various benefits. This research article introduced a new system for the integration of renewable power generation, conventional power generation, and plug-in electric vehicles for the fulfillment of the increasing power demand of the system. To fulfill this demand the integration of a renewable hybrid power system for security- constrained unit commitment problems with a novel levy-flight arithmetic optimizer has been used. The primary contribution of this paper lies in the application of the Levy-Flight Arithmetic Optimization algorithm (LFAOA) to solve SCUC problem. Results from testing on 10, 20, and 40-unit systems showcase a substantial reduction in operating costs. The percentage cost savings are 0.1363% and 0.076390% in comparison to the BAT and BAT-GA algorithms, respectively, using the LFAOA method. The best values for the 10, 20, and 40-unit systems configurations using LFAOA are $479,205.8, $529,223.7, and $2,155,661. The paper thoroughly investigates various parameters, including power demand, mean, standard deviation, peak value, scheduled units, convergence curve, and median. In the result section, a comparative analysis with the existing ones has been done and it is observed that the proposed system gives expected results.