الفهرس | Only 14 pages are availabe for public view |
Abstract 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. The results for the Meta-heuristic techniques and classical technique are compared. from the results, the two Meta-heuristic techniques gave good solutions for the optimal base wind speed and proved their convergence through the classical technique. Therefore the same two techniques are used for another two models. In the first model, the two Meta-heuristic techniques are used to optimal tuning of controllers to enhance dynamic performance of voltage and power. These controllers are pitch angle controller and the Static VAR Compensator voltage regulator controller. The second model is on grid photovoltaic model. In this model, the energy generated from the panels is maximized by optimal tuning of the Incremental Conductance MPPT technique with new adaptive controller using the same two meta-heuristic techniques. Results showed how optimization techniques solve the system problem and gave better system response. Mathematical curve fitting tool is also presented in the thesis to overcome some of difficulties against using of classical optimization techniques in engineering applications. Keywords: Renewable Energy, Variable and Fixed Speed Wind Turbines, Photovoltaic Systems, Incremental conductance MPPT, Optimization Techniques, Optimal-Controllers-Tuning. |