The classic Photovoltaic system maximum power point tracking technique cannot concurrently take into account the dynamic response speed and steady-state accuracy when light intensity changes. To address this issue, a new composite variable step MPPT control algorithm is developed in study. Based on three-stage incremental conductance method, adds Kalman filtering to pre-process photovoltaic cel...

In this paper, we develop a deep learning model using back propagation neural network (BPNN) that helps to obtain maximum power point. This aims maximise the output from solar grids when panels are connected with boost converter under different variable load conditions. BPNN-DL enables prediction of reference voltage at weather conditions for severing various ensures stable voltage. The propose...

in this paper optimal torque control (otc) of stand-alone variable-speed small-scale wind turbine equipped with a permanent magnet synchronous generator and a switch- mode rectifier is presented. it is shown that with otc method in standalone configuration, power coefficient could be reached to its maximum possible value, i.e. 0.48. an appropriate control algorithm based on turbine characterist...

One of the key challenges of employing photovoltaic systems is to extract maximum power of the panels. This problem is known as maximum power point tracking (MPPT) technique. The MPPT stands for establishing situation in which output power of the panels reaches its maximum allowable power. In this context, this paper is to assess the technical requirements to achieve maximum output power of a n...

using photovoltaic systems is gradually expanded by increasing energy demand. abundance and availability of this energy, has turned to one of the most important sources of renewable energy. unfortunately, photovoltaic systems have two big problems: first, those have very low energy conversion efficiency (in act between 12 and 42 percent under certain circumstances). second, the power produced b...

this paper proposes the exchange market algorithm (ema) to solve the combined economic and emission dispatch (ceed) problems in thermal power plants. the ema is a new, robust and efficient algorithm to exploit the global optimum point in optimization problems. existence of two seeking operators in ema provides a high ability in exploiting global optimum point. in order to show the capabilities ...