Electrical distribution system suffers from various problems, such as reactive power burden, unbalanced loading, voltage regulation, and harmonic distortion. Though DSTAT-COMS are ideal solutions for these systems, they can be costly and have complexity compared to other reactive power compensation solutions. Phasewise-balanced reactive power compensations are required for fast-changing loads needing dynamic power factor correcting devices leading to terminal voltage stabilization. Static var compensators (SVCs) are preferred for these loads due to low cost and simple control strategy. These SVCs, while correcting power factor, inherently create harmonics due to the nonsinusoidal currents caused by the operation of thyristor-controlled reactors. This paper proposes minimizing the harmonics injected into the distribution systems with the operation of TSC-TCR-type SVC used in conjunction with fast-changing loads at the LV distribution level. The fuzzy logic system and ANNare used to solve this nonlinear problem, giving optimum triggering delay angles used to trigger thyristors in TCR. The scheme is attractive and can be used at SVC installations in distribution systems for steady-state reactive power compensation.Index Terms-Artificial neural network (ANN), fuzzy logic control, harmonic distortion, reactive power, static var compensators.
Indian distribution systems are facing various power quality problems such as low power factor, harmonic distortion and reliability. SVC such as TSC-TCR is commonly used for balancing reactive power and correcting power factor. TSC-TCR type of compensators can compensate reactive powers of all the three phases independently by controlling the thyristors used in conjunction with TSC and delta connected Thyristor controlled reactors. TSC-TCR which are installed in distribution lines compensate unbalanced reactive power but while doing so the TCR injects harmonic currents of odd order into the point of common coupling. TSC-TCR types of SVCs have lower cost and moderately complex control strategy as compared to STATCOMs. This paper proposes a new method of controlling the injected harmonics of TSC-TCR system by using genetic algorithm based ANN training. The scheme can be effectively used at the existing TSC-TCR installations to reduce harmonic injections while catering to fluctuating loads.
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