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Optimising the performance of power system networks using conventional methods is quite difficult because of the complex nature of systems that are highly non-linear and non-stationary. In this study a hybrid adaptive fuzzy hysteresis current controller for shunt active power filter (SAPF) is proposed. The conventional adaptive hysteresis concept is hybridised with fuzzy logic controller (FLC), which facilitates discarding of uncertainty in the system. In fact, conventional proportionalintegral (PI) controllers for shunt active filter are based on a linearised model that fails to react under transient events. On the other side, FLC has widened its applicability to many engineering fields and offers satisfactory results for a wide variety of operating conditions. It helps in fulfilling the need for perfection, such as stability and robustness for every system. All this motivated to adopt FLC for SAPF applications. By incorporating an adaptive fuzzy hysteresis band, active power filter (APF) gains outstanding compensation ability under steady-state and transient conditions. To validate the proposed approach, the system is implemented on a real-time digital simulator and adequate results are reported for its verification.

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This research paper proposes the shunt active filter (SHAF), which is used to improve the power quality of the electrical network by mitigating the harmonics with the help of Types-1 and-2 fuzzy logic controllers (Types-1 and-2 FLC) using different fuzzy membership functions (MFs). To carry out this analysis, active and reactive current (I d-I q) control strategy is chosen. Threephase reference current waveforms generated by proposed scheme are tracked by the three-phase voltage source converter in a hysteresis band control scheme. The performance of the proposed control strategy has been evaluated in terms of harmonic mitigation and DC-link voltage regulation under various source conditions. To maintain DC-link voltage constant and to generate the compensating reference currents, the authors have developed Types-1 and-2 FLC with different fuzzy MFs (trapezoidal, triangular and Gaussian). The I d-I q control strategy with proposed Type-2 FLC is able to eliminate the uncertainty in the system and SHAF gains outstanding compensation abilities. The detailed real-time results using real-time digital simulator are presented to support the feasibility of proposed control strategy.