Effect of unified power flow controller installation in dual feed induction generator (DFIG) wind turbines

In recent years, the use of wind energy to generate electricity in the world has been accelerating and growing. Wind farms are unstable when dynamic voltage fluctuations occur, especially sudden and sudden changes in load, and show oscillating performance at their output. In this paper, the Unified Power Flow Controller (UPFC) has been simulated and studied by Matlab software to improve the dynamic stability and transient behavior of the wind power plant in the event of sudden load changes. The simulation results show that by controlling the UPFC series inverter, voltage fluctuations in the PCC bus are prevented and the UPFC parallel inverter injects power after changing the load for faster recovery and stability of the PCC bus voltage and thus the stability of the wind farm. The UPFC can control the active and reactive power at the transmission line, and in fact, controls the output of the wind turbine with the generator from both sides to the fluctuations caused by sudden load changes that play a role such as sudden disturbances and oscillating errors. Also, the presence of UPFC in the system reduces power fluctuations.

Hybrid Physics-Based Adaptive Kalman Filter State Estimation Framework

State-of-the art physics-model based dynamic state estimation generally relies on the assumption that the system’s transition matrix is always correct, the one that relates the states in two different time instants, which might not hold always on real-life applications. Further, while making such assumptions, state-of-the-art dynamic state estimation models become unable to discriminate among different types of anomalies, as measurement gross errors and sudden load changes, and thus automatically leads the state estimator framework to inaccuracy. Towards the solution of this important challenge, in this work, a hybrid adaptive dynamic state estimator framework is presented. Based on the Kalman Filter formulation, measurement innovation analytical-based tests are presented and integrated into the state estimator framework. Gross measurement errors and sudden load changes are automatically detected, identified, and corrected, providing continuous updating of the state estimator. Towards such, the asymmetry index applied to the measurement innovation is introduced, as an anomaly discrimination method, which assesses the physics-model-based dynamic state estimation process in different piece-wise stationary levels. Comparative tests with the state-of-the-art are presented, considering the IEEE 14, IEEE 30, and IEEE 118 test systems. Easy-to-implement-model, without hard-to-design parameters, build-on the classical Kalman Filter solution, highlights potential aspects towards real-life applications.

ANALISIS DIAMETER KAWAT SPRING DAN PANJANG LOWER MOUNTING SUSPENSI BELAKANG MOTOR MATIC

The stability of the vehicle / motorbike is also determined by the suspension. Usually the suspension on the motor is installed right-left symmetrically. This is so that the vehicle load is evenly distributed if there is a shock / sudden load. But development and need negate each other. Currently, the development of automatic motorbikes is quite rapid. This motorbike is designed to be sleek and nimble and easy to maintain. Therefore, the rear suspension of the automatic motorbike is installed on only one side. And this usually occurs during sharp turns and high speeds and if you go through uneven roads. For this reason, it is necessary to design the right suspension so that the vehicle can maintain stability even when turning or passing uneven roads. This instability is due to the large vibration of the vehicle. The objectives of this study are 1. To determine the effect of the size of the spring wire and the length of the mounting on the vibration frequency. 2. Find the diameter of the spring wire and the length of the mounting that will give a good vibration frequency. This study uses the Desaign Of Experiment method. Desaign factor 2, namely diameter of spring wire and length of muoting. Level 3 factor is 6 mm, 7 mm and 8 mm diameter. Mounting lengths of 30 mm, 35 mm and 40 mm. Data analysis using MINITAB program. From the analysis, it is found that 1. The diameter of the spring coil wire and the mounting has a significant effect on the vibration frequency of the automatic motor. 2. The best size for wire spring diameter for coil spring motor matic is 7 mm, while the thickness of the mounting is 37 mm. Keywords: Suspension, Motorcycle, Spring Wire. Lower Mounting, vibration frequency

Safety-enhanced control strategy of a power soft robot driven by hydraulic artificial muscles

Power soft robots—defined as novel robots driven by powerful soft actuators, achieving both powerfulness and softness—are potentially suitable for complex collaborative tasks, and an approach to actuating a power soft robot is the McKibben artificial muscle. This study aims to show the potential of hydraulic artificial muscles to be implemented in a power soft robot with high safety, including higher stability against sudden load separation or impact disturbance, and appropriate dynamic compliance. The stability of a manipulator arm driven by hydraulic muscle actuators is experimentally proven to be higher than that of pneumatic muscle actuators when the stored elastic energy is instantaneously released. Therefore, the hydraulic muscle actuator is a better candidate for actuating a power soft robot. By taking advantage of the incompressible liquid medium and the compliant structure of a hydraulic muscle, a second-order impedance control strategy with a braking method is proposed to improve dynamic compliance without sacrificing the safety features of hydraulic muscles. The results show that the manipulator can be easily shifted by a several-kilogram-level external force and react safely against sudden load change with low angular velocity by the proposed impedance control.

Numerous speeds-loads controller for DC-shunt motor based on PID controller with on-line parameters tuning supported by genetic algorithm

<p><span>Direct-current (DC) motor is a commonly used motor; its speed is directly affected by applying mechanical load. This paper proposes the design of wide speed-load range controller for a direct-current (DC) shunt motor based on proportional–integral–derivative (PID controller) with genetic system for controller parameters adjusting. The genetic based PID controller is simulated by using Matlab software package and tested with different sudden load values and different working speeds. A present control loop contains the suggested PID controller also Pulse-Width-Modulation PWM generator and H-bridge inverter. With the genetic system enhancement to parameters of developed PID controller, the results demonstration that this controller has great impact to preserve the profiles of the motor speed and produced torque after applied sudden load, and its intensification the motor performance at different speed and load conditions.</span></p>

Differential Evolutionary and PI Regulated Converter Technology for Loading Analysis in Renewable Energy Systems

Many remote communities around the world cannot be physically or economically connected to an electrical grid. The main objective of the study of designing an inverter control that attains a lower distortion level in the voltage as well as current waveforms by incorporating an optimization algorithm. The controller should reduce the spikes at the transient loading point when the system is subjected to sudden load changes at the power generating units. And the system is to be integrated with the fuel system also to obtain energy efficiency. The fuel system would be connected in parallel to the DC voltage output of the solar/wind hybrid system. The final hybrid system with fuel cell integration was studied for the total harmonic distortion in the voltage and current waveform. The distortion level in the voltage waveform was found to be 0.25% and that in the current waveform was 1.84%. It is under the IEEE acceptable limits.