Fuzzy logic controlled low voltage static var compensation system modeling and realization with plc

With the increase in the cost of electrical energy, efficient use of energy is more important today for consumers. For the efficient use of electric energy reactive power control and compensation is very important. Reduction or compensation of reactive power, which is an issue of energy quality, is of critical importance. The changes in the regulations made for the efficient use of energy along with the reduction of limits in reactive energy consumption have increased the importance of reactive power compensation. With improving technology, along with the introduction of the microprocessor control of power systems and power electronics system of strict cost reduction, thyristor compensation systems have become competitive with conventional electromechanical compensation systems. Especially in cases of unbalanced load and rapid changes in load, they emerge as an economic solution for desired power in the low-voltage reactive power compensation. In the present study, a compensation system with a fixed capasitor and thyristor controlled reactor (FC-TCR) has been presented, which was conducted using PLC which can conduct reactive power compensation. Reactive compensation was conducted on the designed system by using PID, fuzzy logic and adaptive PID made with neuro-fuzzy inference system (ANFIS) control methods. The experimental results of the methods are compared. The PID control performance data, the overshoot, has been largely eliminated. Reduction of the settlement time with the triangular and trapezoidal membership function fuzzy PID (BPID) has been achieved.