Blackout in Power Systems: Research on Frequency Control using Flower Pollination Algorithm

Abstract

Ensuring the continuous provision of electricity to meet escalating demands hinges on the stability and dependability of power systems. Essential to this stability is the precise control of frequency, which acts as a critical regulator, ensuring equilibrium between power generation and consumption and averting the frequency variations that may culminate in power outages. This study delves into the novel application of the Flower Pollination Algorithm (FPA) as a means to augment frequency control within power systems. Specifically, this paper puts forth an analysis of a proportional integral derivative controller grounded in the Flower Pollination Algorithm. This analysis is geared toward addressing the control challenges associated with load frequency during emergency situations, with the ultimate goal of averting blackouts within a multi-area control framework. One of its most severe glitches is the power outage, a terrible occasion that may disturb a significant segment of the system, playing destruction to human and causing incredible financial misfortunes. Accordingly, understanding the systems prompting power outages and making a consistent and flexible power network has been a significant issue, drawing in the consideration of researchers, designers, and partners. The control techniques show the effective capacity of the quick reaction energy storage structure in forestalling and anticipating power outages in smart grids. The Internal Model Control Proportional Integral Derivative Flower Pollination (IMC-PID FP) technique is introduced with the assumption of decoupled tie-line power flows, offering a versatile controller with a straightforward structure that holds potential for practical control systems. This proposed method undergoes testing within various operational scenarios of a three-region power system, aiming to demonstrate the improved outcomes of the IMC-PID controller based on the Flower Pollination Algorithm (FPA).