This paper determines and compares the cost of energy (COE) of various hybrid systems for several off-grid facilities in North and Far North regions of Cameroon by integrating renewable sources and/or storage with diesel generators. The estimated annual energy production by solar PV systems and wind turbines is also discussed. The aim is to study the application of a high penetration renewable ...

In this paper the maximum power point tracking (MPPT) algorithms for wind energy systems arereviewed. As the amounts of power produced in wind power plants is changing due to theinstantaneous changing nature of the wind, it is desirable to determine the one optimal generatorspeed that ensures maximum energy yield. Thus, it is important to include a controller that cantrack the maximum peak rega...

in this paper an adaptive pid controller for wind energy conversion systems (wecs) has been developed. theadaptation technique applied to this controller is based on reinforcement learning (rl) theory. nonlinearcharacteristics of wind variations as plant input, wind turbine structure and generator operational behaviordemand for high quality adaptive controller to ensure both robust stability an...

The increasing development of the use of new energies has led to the widespread use of power electronics, so that electronic power converters play an important role in extracting power from renewable sources. Power electronics can convert raw energy produced from new energy into the desired power with controlled current, voltage and frequency to be used in the power grid. Restructuring of power...

The power supply of remote sites and applications at minimal cost and with low emissions is an important issue when discussing future energy concepts. This paper presents modeling and optimization of a photovoltaic (PV)/wind/diesel system with batteries storage for electrification to an off-grid remote area located in Rafsanjan, Iran. For this location, different hybrid systems are studied and ...

Given the substitution process of generators using renewable energy sources instead of conventional generators in modern power systems, this paper proposes a Monte Carlo based method to determine an optimal level of this change. At first, LOLE index of the system was calculated without wind power to obtain the reference index. Then, the wind turbine units are replaced with the conventional gene...

In this paper an adaptive PID controller for Wind Energy Conversion Systems (WECS) has been developed. Theadaptation technique applied to this controller is based on Reinforcement Learning (RL) theory. Nonlinearcharacteristics of wind variations as plant input, wind turbine structure and generator operational behaviordemand for high quality adaptive controller to ensure both robust stability an...