Enhancement of Renewable Energy Operation by Optimization Techniques

Abstract

Thesis Summary Meta-heuristic optimization techniques are now used to solve many electrical engineering optimization problems but there is no mathematical proof for their convergence towards the optimal point. In this thesis, three different optimization techniques are used. The used techniques, two of them are Meta- heuristic optimization techniques and the third is classical optimization technique. In the beginning, two different Meta-heuristic techniques (Harmony search algorithm and Invasive weed optimization) are used to find optimal base wind speed at which a doubly fed wind turbine can generate its maximum energy under different wind speed profiles in MATLAB/SIMULINK. Then to check convergence of the two Meta- heuristic techniques, a classical optimization technique is used to solve the same problem. A mathematical curve fitting is used to enhance the performance of the classical optimization technique.