Enhancing a Resilient Frequency Regulation Demand Response-Based Hybrid Power System Against Cyber Threats

Abstract

The rising use of renewable energy sources (RES) in power networks has put rotational inertia in jeopardy, which has led to instability and system degradation. Demand response (DR), a key component of the electric power system’s future dependability, is used in this research. Within a DR framework, a modified three-degree(s) of freedom (DOF) tilt fractional order integral derivative controller with a proportional fractional order derivative is created for frequency management of a deregulated identical hybrid two area power system. There are hydropower plants with all the physical constraints, conventional thermal power plants, RES(wind, solar thermal plant, and biogas), and electric vehicle assets in each location. The proposed approach for adaptively tuning the intended controller’s coefficients of the hybrid test system is called Chaos quasi-opposition-based sea-horse optimization (CQOSHO). CQOSHO’s superiority has also been evaluated against a number of other renowned optimization techniques. Furthermore, the test system’s stability is assessed. The improved results show that, when compared to the existing work and under various conditions, such as system uncertainties, physical constraints, and large penetration of RES, the CQOSHO-tuned proposed controller offers a magnificent increase in system frequency stability. Finally, the viability of the proposed technique with source and load intermittency is shown by an experimental evaluation using Open Platform for Advanced Learning Real Time (OPAL-RT) OP4200.