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The sun and wind based generation are well-thoroughly considered to be alternate source of green power generation which can mitigate the power demand issues. This paper introduces a standalone hybrid power generation system consisting of solar and permanent magnet synchronous generator (PMSG) wind power sources and a AC load. A supervisory control unit, designed to execute maximum power point tracking...
This work proposes and simulates a finite set model predictive control technique for the photovoltaic inverter. The power topology is a 30 KW PV array with two power conversion stages: DC/DC boost converter controlled with maximum power point tracking to extract the maximum available photovoltaic power and two-level voltage source inverter with passive filter to convert direct current to alternative...
This paper reports a development of a statistical approach for fault detection and diagnosis in a PV system. Specifically, the overarching goal of this work is to early detect and identify faults on the DC side of a PV system (e.g., short-circuit faults; open-circuit faults; and partial shading faults). Towards this end, we apply exponentially-weighted moving average (EWMA) control chart on the residuals...
The track of the maximum power point (MPPT) is an important part of photovoltaic systems. Incremental conductance method is considered to be the most commonly used method because it is less complicated and has good tracking accuracy.
in this paper, an integral sliding mode control method is proposed for maximum power point tracking MPPT voltage oriented loop. The aim is to obtain a better performance when applying it to stand alone. The proposed technique is studied and simulated by using Matlab/Simulink and simpower system packages. The obtained simulation results display significant enhancements by applying the proposed method...
A battery test that predicts the electrical performance with high accuracy is vital for circuit design. The purpose is to control its runtime and insure safety in battery-based electrical system such as Electric Vehicles (EVs). The nonlinear behavior of batteries depends on many internal and external factors such as temperature, chemistry, load current profile, age, etc. Modeling the behaviors of...
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