Tabak, AbdulsamedIlhan, Ilhan2024-02-232024-02-2320221568-49461872-9681https://doi.org/10.1016/j.asoc.2022.109277https://hdl.handle.net/20.500.12452/11621In this study, a novel hybrid Simulated Annealing-Genetic Algorithm (hSA-GA) is proposed. In the hSA-GA, population-based SA is used and each solution in the population is improved using the local search operator. The information exchange between the improved solutions is provided by the crossover operator. A new selection operator is used to ensure the balance between intensification and diversification. The hSA-GA is tested first on nine benchmark functions. Then it is used for tuning proportional-integral-derivative (PID) parameters for automatic generation control (AGC) of multi-area interconnected power systems. Firstly, PID parameters are determined with hSA-GA on a two-area interconnected non-reheating thermal system (System-1) in two different generator time constants. Secondly, to demonstrate the effect of supplementary control in AGC systems, the system is simulated with hSA-GA tuned PID controller and without controller. Additionally, the performance of the proposed hSA-GA is observed on AGC system of two area thermal power system with governor dead-band (GDB) nonlinearity (System-2). Transient responses of delta f(1), delta f(2) and delta P-tie obtained for both System-1 and System-2 are compared with studies on the same systems in the literature and it is seen that hSA-GA exhibits better control performance on power systems than compared studies. The proposed algorithm shows the best performance in System-1 (when T-g = 0.08). Accordingly, settling times of delta f(1), delta f(2) and delta P-tie are reduced to 2.33 s, 3.783 s and 3.11 s, respectively. Finally, the non-linear two area thermal power system is tested with a load varying between +/- 50% for 180 s to validation of proposed algorithm and results are compared relevant studies. (C) 2022 Elsevier B.V. All rights reserved.eninfo:eu-repo/semantics/closedAccessHybrid Simulated Annealing-Genetic AlgorithmMulti-Area Power SystemAutomatic Generation ControlPid ControllerGovernor Dead BandOptimizationArticle1262-s2.0-85134562812Q1WOS:000863473800003Q110.1016/j.asoc.2022.109277