Johnson A. Asumadu

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An intelligent fuzzy logic inference pipeline for the control of a dc-dc buck-boost converter was designed and built using a semi-custom VLSI chip. The fuzzy linguistics describing the switching topologies of the converter was mapped into a look-up table that was synthesized into a set of Boolean equations. A VLSI chip–a field programmable gate array (FPGA)(More)
The critical sampling period depends on the natural angular frequency of the system, but it is very difficult to obtain for a real system. By modeling and simulation of the PV and DC-DC converter modules in the MATLAB/SIMULINK environment, the critical sampling period for an open-loop P&O MPPT grid-connected solar PV system has been determined, and the(More)
This paper presents a distributed finite control set model predictive control (DFCS-MPC) approach to control a microgrid with grid mode of operation. The micro-grid supplies a combination of balanced and unbalanced loads. Converters are controlled to feed current according to shared factors. All grid and micro-grid components are decomposed into positive(More)
This paper presents a novel method to reduce the Total Harmonics Distortion (THD) using adaptive filters. Least Mean Square (LMS) and Normalized Lest Mean Square (NLMS) were used as adaptation algorithms. Both of these algorithms gave a very good performance in terms of distortion reduction. Instead of focusing on specific harmonics as in other methods of(More)
Out-of-step prediction is an important requirement for reducing wide scale transient instability conditions in power systems. An intelligent technique for predicting out-of-step conditions amongst individual generators is presented. The method uses the wavelet energy of generator speed deviations in 3 cycles, after bus(es) and/or line(s) are tripped, to(More)
This paper uses the Ziegler-Nichols (Z-N) tuning method approach combined with adjustments of the Proportional-Integral-Derivative (PID) gain parameters to achieve satisfactory improvement in the open-loop Perturb-and-Observe (P&O) maximum power point tracking (MPPT) performance of a grid-connected solar photovoltaic (PV) system. Various modes of the(More)
This paper proposed an adaptive Kalman filter to detect the voltage sag problem in power system, the state covariance matrix is changed through the simulation to enhance the Kalman filter in order to detect the amplitude changing of the fundamental component. In the proposed method, there is no need to estimate the noise covariance matrices, which is(More)
The goal of this research is to focus and adopt a fast, accurate and reliable fault detection technique and classification method for the high voltage transmission line. The proposed method reduces the outage time and hence this eliminates any possible damage to the other parts of the system. First, detection of the fault is carried out using a new proposed(More)