The results obtained by IFA was compared to FA and other algorithms based on optimal cost, convergence characteristics and robustness to validate the effectiveness of the IFA. The IFA method has been implemented using MATLAB software. The second test system consists of seven generating units including two wind turbines, three fuel-cell plants and two diesel generators. The first test system is a simple microgrid system which consists of three generators. Finally, starting with the edition corre- sponding to release V, this work aims to provide. inclusion of tutorials and sophisticated examples. Cast materials capable of sand casting are plain carbon.
There are two test systems that have been considered as case study. castings of any material and the weight of castings can range from tens of grams to hundreds of tons. The microgrid system for this case study considered both of renewable energy plant and conventional generator units. The IFA has been used for optimizing the cost of power generation in microgrid system where daily power balance constraints and generation limits are considered. This project proposes an Improved Firefly Algorithm (IFA), which is a improvement of classical Firefly Algorithm (FA) technique using characteristic approach of Lévy flights to solve the optimal microgrid operation. Higher cost of fuels, logistic, spare parts and maintenance affect the cost for operation microgrid generation to supply electrical power for remote areas and rural community.
Lately, an electrical network in microgrid system becomes very important to rural or remote areas without connection from primary power grid system.
0 kommentar(er)
