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Feasibility study on implementing wind power generation on moving train is discussed in this Thesis. Wind turbines installation over the train roof is suggested and tested from different aspects. Practical aspects of wind energy utilization are discussed and challenges are highlighted. Calculations of wind power generation for wagon roof mounted turbine are provided and air drag of turbine is discussed. Simulation study is performed in SolidWorks environment to explore air drag influence of wind turbines on moving train. Simulation of wind power generation is also conducted in MATLAB Simulink. Analytically the generated power is compared to mechanical power required to overcome the extra air drag caused by wind turbines over the train wagons.

In this study, the influence of using acid batteries as part of green energy sources, such as wind and solar electric power generators, is investigated. First, the power system is simulated in the presence of a lead–acid battery, with an independent solar system and wind power generator. In the next step, in order to estimate the output power of the solar and wind resources, a novel forecast model is proposed. Then, the forecasting task is carried out considering the conditions related to the state of charge (SOC) of the batteries. The optimization algorithm used in this model is honey bee mating optimization (HBMO), which operates based on selecting the best candidates and optimization of the prediction problem. Using this algorithm, the SOC of the batteries will be in an appropriate range, and the number of on-or-off switching’s of the wind turbines and photovoltaic (PV) modules will be reduced. In the proposed method, the appropriate capacity for the SOC of the batteries is chosen, and the number of battery on/off switches connected to the renewable energy sources is reduced. Finally, in order to validate the proposed method, the results are compared with several other methods.

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