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In this paper the use of the proportional integral (PI) algorithm incorporated with the fuzzy logic technique has been proposed as advanced gain scheduling load frequency control (GLFC) in two-area power systems. The proposed controller comprises two-level control systems, such that it consists of a pure integral compensator which is connected in parallel with a PI controller. However, and based on load demand, the PI parameters are updated online by means of fuzzy logic rules. With this control technique it becomes possible to eliminate steady state errors as well as to maintain good transient responses. The task of keeping a stable and overall satisfactory mode of operation in interconnected electric power systems is the main goal of any control strategy. This should be guaranteed over a wide range of operating conditions and particularly in sudden and drastic load changes. Therefore, the suggested approach has been examined following abnormal changes in loading conditions to clarify its reliability. The report also investigates the performance of the pure integral (I) controller and GLFC in individual configurations to highlight the advantages of the offered algorithm over the standard ones. The criterion of integral square error (ISE) has been exploited in the performance assessment for the designed controllers. Several simulation scenarios have been conducted, using the MATLAB–Simulink package, to illustrate the proficiency of the developed technique.

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Abshzci-Deslgn of lhred galn PID stablltGer based on pole asslgnment technlque is descrbed, In order to show the advantages of properly t u n e method for PJD algorithm as accepted way to save the controller efforts as wen to achkve a good performance, and h contrast to dlscuss the necesdty to the adaptive control h power system appkatlon . SeH-tunhg PID power system stablltcer using pole placement technlque ( pole asslgned-pole shHUng) has been deslgned to solve the problem of real t h e parameters adaptatton, whkh Is enable the proposed stablllzer to maintains the power system at the optknum operation over wlde range of operating condltlons. Due to random varlatbns of the generator loading conditions and to conRm the effectiveness of the deslgned stablllzers, they have been tested at merent operating conditions and h e reactance. The results obtained by computer sbnulatlon are compared to exhblt the lmprovement in response obtalntng wlth the adaptive algorithm.

Fuzzy logic design has been implemented online to tune the power system stabilizer gain (KPSS). To assess the performance of the proposed technique, Benghazi North Power Plant (BNPP), at eastern Libyan network, has been utilized as a power system stabilizer (PSS) benchmark. The design considers different operating conditions and large disturbance. A selection of fuzzy rules is derived by means of system output power to tuneKPSS, whereas Particle Swarm Optimization technique (PSO) is exploited to calculate the PSS parameters offline according to real-time measurements of the considered plant. Several simulation scenarios have been conducted to show the effectiveness of the proposed PSS in damping of local and interarea modes of oscillation of one-machine infinite-bus system. The study also contains comparison between the proposed technique and conventional PSS (CPSS).