• Ahmed Hamad Mansoor
• Amit Kumar Singh

This work depicts a broad scheme to design an improved load frequency control (LFC) for an interconnected electrical power system. In an interconnected power system, small load perturbations in any of the area leads to frequency and tie line power fluctuation in each and every coverage area. Due to an increase in difficulties of an electrical power system network, there is a need to enhance and develop new control methodologies. Power system performance and evaluation does not only rely on the control structure but also relies on well-tuned controllers. For this reason, a meta heuristic multi objective optimization approach for and integrated design of a controller at various load disturbances has provided insight that each of them has their own distinctive characteristics to find resolutions if the utilization is implemented for particular domain purpose. An observation was carried out on transfer function model of two area multi source interconnected power system incorporating RFB energy storage system and UPFC Facts device at various loading conditions. Here, proposed Strawberry Algorithm SBA provided optimal plotted values of PID controller by mitigation of cost function ITAE. The proposed simulation extended in comparison between SBA and DEA at 85% to 90% loading conditions. A two area interconnected thermal power system with governor dead- band non linearity for the design and and enhanced analysis aim is considered, where the PID controller is designed through flower pollination algorithm for AGC is modeled and carried out. A new kind of methodology is designed to model a multi-cost function which contains weighted optimization function (s). This method takes less time and effort to get the weights for multi cost function. With a single run of the approached algorithm yields both global minimum and optimal weights. The re evaluation performance of the scope analysis are comparable with pareto optimal resolutions. Where the cost function also includes performance response for a various percentage of loads so that obtained gain parameters are optimal for different load variations and this manipulation could be observed in ∆f1, ∆f2, ∆Ptie responses. The simulated results clearly indicated the superiority of the SBA over DEA. Further, the results were validated in response of variation in the frequency and tie line variables obtained using cost functions based on Integrated Time multiplied Absolute Error (ITAE) and compared with Differential Evolutionary (DE), Learning, Search and Design Algorithms.

Load Frequency Control (LFC), Automatic Generation Control (AGC), Flower Pollination Algorithm (FPA), Strawberry Algorithm (SBA), Differential Evolutionary Algorithm (DE), Particle Swarm Optimization Algorithm (PSO), Area Control Error (ACE), Integral of Time multiplied Absolute Error (ITAE), Integral of Time Multiplied Squared Error (ITSE), Integral of Squared Error (ISE), Integral of Absolute Error (IAE).

"Meta heuristic Cost Effective Optimization Method for an Integrated Design of a Controller at load disturbances in Generation Control", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.c222-c239, May-2021, Available :http://www.jetir.org/papers/JETIR2105283.pdf

"Meta heuristic Cost Effective Optimization Method for an Integrated Design of a Controller at load disturbances in Generation Control", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppc222-c239, May-2021, Available at : http://www.jetir.org/papers/JETIR2105283.pdf