Abstract
The modern power plant is transforming into a smart-grid system utilizing the amenities of decentralized monitoring and control environment. However, this paradigm shifting makes the system indistinct due to unknown modeling errors, parametric uncertainties, and unmodeled dynamics. Thus, to cope with the rapidly growing complexities of updated power systems, the design and integration of an advanced and resilient control system are in high demand. This chapter discusses an optimized multi-loop fractional order controller integrated with a disturbance observer (DOB) to effectively die down the system oscillations of a hybrid power system (hy-PS) following unknown disturbances. The hy-PS comprises a variable speed wind turbine generator operating in parallel with a diesel engine generator to match the continually changing load profile. The proposed DOB is applied to estimate bounded plant-lumped uncertainties. An improved feedback control law is generated by augmenting this estimation to minimize frequency/power deviation in hy-PS. The developed multi-loop controller comprises fractional-order proportional integral derivative (FOPID) and tilt integral derivative (TID) as primary and secondary controllers. Quasi-oppositional squirrel search algorithm is derived and applied to optimize the proposed frequency controller's settings. System performance has been obtained and extensively compared with reported control methodologies to highlight the mastery of the developed frequency regulator. The presented analysis reveals the supremacy of the control technique in compensating exogenous disturbances and mitigation of power-frequency oscillations. Finally, the resiliency of the applied controller is tested with parametric uncertainties employing Kharitonov's argument.
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