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This paper proposes an application of a least mean-square (LMS)-based neural network (NN) structure for the power quality improvement of a three-phase power distribution network under abnormal conditions. It uses a single-layer neuron structure for the control in a distribution static compensator (DSTATCOM) to attenuate the harmonics such as noise, bias, notches, dc offset, and distortion, injected in the grid current due to connection of several nonlinear loads. This admittance LMS-based NN structure has a simple architecture which reduces the computational complexity and burden which makes it easy to implement. A DSTATCOM is a custom power device which performs various functionalities such as harmonics attenuation, reactive power compensation, load balancing, zero voltage regulation, and power factor correction. Other main contribution of this paper involves operation of the system under abnormal conditions of distribution network which means noise and distortion in voltage and imbalance in three-phase voltages at the point of interconnection. For substantiating and demonstrating the performance of proposed control approach, simulations are carried on MATLAB/Simulink software and corresponding experimental tests are conducted on a developed prototype in the laboratory.

The main intent of this study is to integrate a solar photovoltaic (SPV) generating system to three-phase grid and to provide a clean and uninterrupted flow of power at abnormal and peak load conditions. To establish such an interface, a reliable, secure and high-performance control algorithm is the necessity. This study presents a three-phase single-stage grid tied SPV energy conversion system (SPECS) using phase locked loop-less (PLL-less) fast character of triangle function (CTF) control technique. This system configures an SPV array, voltage-source inverter (VSI), ripple filters and three-phase grid with connected linear and non-linear loads. Apart from supplying active power to the grid and connected loads, SPECS also provides functionalities of an active shunt filter such as reactive power compensation, harmonics attenuation, power factor correction, load balancing and zero voltage regulation. This system uses a single-stage perturb & observe approach for maximum power point tracking. Moreover, the VSI control is based on PLL-less fast CTF technique which enhances the functioning of SPECS. The presented system is modelled, designed and simulated on MATLAB/Simulink platform as well as its functioning is validated experimentally on a developed laboratory prototype.

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