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Implementation of a fuzzy logic based power system stabilizer using the general purpose low cost Intel 8051FA microcontroller is described in this paper. Results of extensive on-line tests performed for a variety of disturbances and operating conditions are presented. These results amply demonstrate the effectiveness of the fuzzy logic based stabilizer.Key Words: controller, Intel 8051, Power system stabilizers. Fuzzy logic control, F u q logic implementation, Micro- 1, INTRODUCTIONThe fixed parameter conventional power system stabilizers (PSSs) are designed based on the power system model linearized around a nominal operating point. . The structure and the parameters of the PSS are determined to provide optimal performance at this point. Power systems are in general nonlinear and the operating conditions can vary over a wide range. Also, the power system configuration changes with time. Thus the parameters of the PSS must be re-tuned so that it can continue to provide the desired performance. Alternative controllers using adaptive self-tuning techniques have been proposed to overcome such problems [I], [23.Unlike classical logic approach which requires a deep understanding of a system, exact equations, and precise numeric values, fuzzy logic incorporates an alternative way of thinking. It allows modeling of complex systems using a higher level of abstraction originated from accumulated knowledge and experience. Fuzzy logic allows expression of the knowledge with subjective concepts such as very tall, moderate and slightly

Synchronous generators in power systems are commonly equipped with Power System Stabilisers (PSS) to provide damping signals following disturbances. The design parameters of the PSS are load-dependent. The main objective of this paper is to design a simple robust PSS that can properly function over a wide range of operating conditions. The proposed compensator is designed by stabilising a finite number of characteristic polynomials that are obtained using Kharitonov theorem. The compensator's parameters are tuned using a swarm optimisation technique to ensure maximum relative stability. Simulation results illustrate satisfactory performance of the PSS as it is applied to the original non-linear system under wide loading conditions at lagging and leading power factors.