## 1 Introduction
This technique is fashioned from the fuzzy pre-compensator PD and PID controller, and it outperforms than PID controller. From the literature survey, it can be seen that, due to its simple and user-friendly architecture, most research articles are focused on the PID controller or in its alternative structure for solving the LFC problem. From the above discussion, it is obvious that the enhancement of FLCs with their different architectures can also be employed in interconnected power plants, which are extremely nonlinear and involve uncertainties. Recently, the applications of the fractional order PID (FOPID) controllers are appearing more in the literature because they contain extra flexibility due to the capability to handle the control design specifications [13]. Concerning this application, the derivative and integrator parts have non-integer orders; accordingly, the order should be determined by the designer. As a result, the FOPID has five scaling factors (SFs) to be regulated. [PERSON], in Reference [14], presented the FOPID controller for an interconnected two-area power plant based frequency stabilization to improve the system stability; the results showed that this controller provides better performance than other controllers. [PERSON] and [PERSON] [15] proposed a controller based on the FOPID controller for an integrated two-area power system employing a multi-objective optimization (MOO) algorithm to regulate the controller's gains. From the aforesaid review, it is remarkable that the FOPID controllers are more efficacious than the PID controllers. Furthermore, some academics have successfully combined the fractional order (FO) applications with FLCs and have employed them in the control system, claiming that the resulting FObased fuzzy PID (FOFPID) controller has been visibly improved [16]. In Reference [16], the authors presented an FOFID controller based on optimization algorithms to solve the LFC strategy of the power system, according to the time domain performance indices. Lastly, it is concluded that the performance of the FO enhanced with FLCs outperforms its classical counterparts. The area frequency stabilization and transmission-line power fluctuations in power systems are the main concerns that have received attention in load frequency control (LFC) studies. LFC represents the main part of the operation and design of modern electric power plants. From the above-mentioned survey, it is shown that the fuzzy pre-compensated intelligent PID (FP-iPID) controller has not been developed with the fractional order (FO) control implementations of interconnected multi-area power plants. This motivated the design of a fractional order fuzzy pre-compensated fractional order intelligent PID (FOFP-iPID) controller for interconnected multi-area power plants. The main objective of the proposed FOFP-iPID controller is to stabilize the area frequency and mitigate the transmission-line power oscillations in interconnected multi-area power plants. In this article, a novel hybrid FOFP-iPID controller is proposed for a realistic interconnected two-area power system based frequency stabilization, where each area has thermal, hydro, and gas utility with nonlinearities. After designing the proposed FOFP-iPID controller, an Ant lion optimizer (ALO) approach is employed to regulate the controller scaling factors (SFs). In most of the aforementioned methods, load frequency control and the linear model of the power plant is adopted and non-linearity limitations are abandoned. So, in order to show the effectiveness of our proposed controller, the generation rate constraint (GRC) and governor dead band (GDB) nonlinearities are addressed in the model. The FOFP-iPID controller introduced in this study is a new controller structure, which is an effective technique for solving LFC problems. The suggested FOFP-iPID controller is based on the extended state observer (ESO) and estimates the uncertainties of the plant and guarantees the trajectory tracking error to tend to zero rapidly.