In this work, the optimal placement and parameters of UPFC in Electrical Power transmission Systems is calculated. The FACTS are combination of controlled devices to increase reliability & stability of power networks. The flexible transmission devices are located in more places the working of parameters like impedance, voltage, and phase angle can improved. FACTS devices gives transmission system flexibility improvement through better new utilization of facilities like more system reliability, improved dynamic and transient stability and also power supply quality increased. Flexible transmission systems can be connected shunt or series with power line and also like shunt–series combination. To compensate voltage drops and controlling of voltage the series compensation and for current control the shunt compensation is provided in power transmission. Further, to minimize the losses and enhancement of load ability and voltage stability, the UPFC is used in power system and it is an advanced device of FACTS group. The presented system is simulated by MATLAB/Simulink for the verification of the performance of the technique.
The power stable of the converters is actually coming from some milliwatts (as in a cellphone) to dozens of megawatts in an HVDC gearbox body. Along with "classic" electronic devices, power streams, as well as current, are actually utilized to hold relevant information, whereas along with power electronic devices, they lug power. This inverter may magnify source of power like gas- mobiles, little wind turbines, as well as photo-voltaic assortments (i.e. it agrees with for circulated power treatments). The principles of resources and also changes are actually described and also categorized. Coming from the general regulations of resource propinquities, a universal procedure of power converter formation exists.
Here we are using the scalar control approach for regulating the speed of SCIM(Squirrel Cage Induction motor), but in previous stage, a fixed frequency is set to the SCIM to maintain the constant speed. Here, the scalar ratio is sustain constant in order to get fixed twisting force throughout the entire operation. Since only input frequency and voltage are changed, this is known as “scalar control”. The SCIM implementing such a control are without any feedback approach. Hence, this regulating approach is low cost and maintenance free. This control is widely used because little information of motor is required. But at lower speeds, potential drop across stator impedance is more compared to air-gap voltage. So it has poor torque at low speeds. For that we will have to boost some voltage at low frequencies. We can go for Closed-Loop control if we want precise control. For voltage & frequency control of SCIM in proper ratio, VSI appropriate control method is necessary. The speed regulating of SCIM is more vital to achieve good performance and maximum twisting force. Here we implement a rule-based fuzzy logic controller supply to a scalar closed loop scalar SCIM regulating with slip regulation and its matlab results. The SCIM is modelled in terms of direct axis and quadrature axis windings.
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