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Improving Voltage and Power Factor using ANFIS in SVC for Distribution System
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Most of the electrical distribution systems are incurring huge losses due to the loads are wide spread, reactive power compensation facilities are inadequate and the reactive power compensation facilities do not have a proper control. A typical Static VAR Compensator (SVC) consists of capacitor bank in binary sequential steps operated in conjunction with a thyristor controlled reactor of the smallest step size. This SVC facilitates smooth control of reactive power closely matched with load requirements so as to maintain a power factor closer to unity. These types of SVCs require an appropriately controlled TCR. This paper deals with a reactor suitable for distribution system of 3-phase, 50Hz, and 415V with load P=25 KW, Q=21.23 KVAR system provided with FC-TCR Simulation which Compares results using Fuzzy Logic Controller (FLC) and Adaptive Neuro-Fuzzy Inference System (ANFIS) Controller. The effectiveness of the different controllers for improving the voltage stability limit, power factor and power transfer capacity of distribution system.
Keywords
Distribution System, SVC,, Fuzzy Logic Controller (FLC), Adaptive Neuro-fuzzy Inference System (ANFIS), Voltage And Power Factor Improvement
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