This paper proposes a maximum power point tracking (MPPT) algorithm for wind energy conversion systems. The proposed algorithm utilizes the dc current as the disturbing variable. The algorithm detects sudden wind speed changes indirectly through the dc-link voltage slope. The voltage slope is additionally used to enhance the tracking speed of the algorithm and to avert the generator from stalling under rapid wind speed slowdown conditions. The proposed method uses two modes of operation: A perturb and observe (P&O) mode with adaptive step size under slow wind speed fluctuation conditions, and a prediction mode employed under expeditious wind speed change conditions. The dc-link capacitor voltage slope reflects the expedition information of the generator, which is then used to prognosticate the next step size and direction of the current command. The proposed algorithm shows enhanced stability and expeditious tracking capability under both high and low rate of change wind speed conditions. Keywords-Maximum power point tracking(MPPT),Perturb & observe algorithm(P&O),wind energy conversion system(WECS).
This research describes a method for wavelet decomposition and machine learning-based fault site classification in a radial power distribution network. The first statistical observation is produced using wavelet decomposition and wavelet-based detailed coefficients in terms of Kurtosis and Skewness parameters. For this objective, six distinct machine learning methods are deployed. They are evaluated and compared using unknown data sets with varying degrees of unpredictability. One approach has been shown to be the most accurate in locating the location of the problem bus.
The application of power electronics in the electric power transmission plays an important role to make the system more reliable, controllable and efficient [1]. Because of deregulation, natural enactments and cost of development, it is ending up noticeably progressively hard constructing new transmission lines. Thus it is essential to fully utilize the capacities of the existing transmission system. The Flexible AC Transmission System (FACTS) has become a popular solution to our large/over extended power transmission & distribution system. FACTS devices are proving to be very effective in using the full transmission capacity while increasing power system stability, transmission efficiency and maintained power quality and reliability of power system. These devices are mainly based on either voltage source converter (VSC) or current source converter (CSC) and have fast response time.As an important member of FACTS devices family, STATCOM has been at the centre of attention and the subject of active research for many years. STATCOM is a shunt associated gadget that is utilized to give receptive power remuneration to a transmission line. This controller can either absorb or inject reactive power whose capacitive or inductive current can be controlled independent to the AC line voltage. Thus, STATCOM can enhance the transmission line load ability by extending the MW margin and improves the oscillation of voltage transients through efficient regulation of the transmission line voltage at the point of connection [1]-[3]. The device is connected to a load bus with a converter transformer. The displaying of shunt controller and testing is reproduced in the MATLAB/Simulink condition. The controller is spoken to as piece chart that presents down to earth electronic model of shunt controller. PID controller is used to control the current injection at the connection point by varying the desired parameters, one is Modulation Index (AM) and another is power angle (δ). Mainly there are four loop tuning methods for a PID controller; those are manual tuning, Ziegler-Nichols, Software Tools and Cohencoon Method. Firstly, Ziegler-Nichols method is chosen for loop tuning and then manual tuning is applied to the PID controller by trial and error method to take its performance at optimum level. Actually, there are four diverse control procedures for a STATCOM controller,
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