Tracking the maximum power point of a combined wind and solar power plant with the help of a colonial competition algorithm

Due to the pollution of energy related to fossil fuels and the cost of production and consumption, today most developed countries are moving towards the use of renewable energy such as wind and solar energy through wind turbines and photovoltaic systems. Solar energy tends to be a global phenomenon. They have clean and effective modern technology that provides a beacon of hope for a future based on sustainable and pollution-free technology. One of the leading challenges in using these resources is energy source changes, in other words, the wind and flux of the sun change during the day and seasons. If it is possible to find the maximum power and extract the appropriate commands for each of the mentioned power plant units, the maximum power can be extracted according to temporal and spatial changes. For this purpose, in this article, in the beginning, in the first part, the problem and the activities taken are described. Then, in the second part, the required formulations and relations are expressed according to the production power in terms of wind, radiation intensity, environmental conditions, and the characteristics of turbines and solar arrays. Then, considering that the pursuit of maximum power requires the use of optimization algorithms, in the third part, the formulation and implementation process of the colonial competition algorithm is fully described. Section 4 presents the results of implementing the algorithm and solving the model in MATLAB. In the simulation section, the solar position for the province of Khorasan Razavi - Iran is considered. Then, using the information of the Meteorological Organization, the average wind speed is approximated. In wind speed modelling, wind speed information of Khorasan Razavi province - Iran has been used for a period of 72 hours. Also, modelling for a combined power plant with a maximum capacity of 225 has been modelled. For the required power, 200 kW is considered in relation to the capacity of power plants, and it also has the ability to be stored in the home battery, which can be used as a storage power plant. Which a good proposed approach has been able to provide the required power in a 24-hour period based on weather and solar conditions. Also, control variables such as the amount of screw angle, torque and rotor to the generator as well as voltage-current at both ends of the cells are optimally obtained. The results during the simulation indicate the achievement of maximum power based on the required power and atmospheric conditions and solar radiation.