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Optimal power flow dispatch of variable wind generation

Liu, Baicun (2016) Optimal power flow dispatch of variable wind generation. Honours thesis, Murdoch University.

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Wind power is one of the most popular renewable energy resources in the world. However, the variability of wind power leads to a situation in which a wind turbine only system cannot exist. Optimization of wind power flow dispatch is a long term work. And the variable wind generation in optimal power flow dispatching by mathematical model is an initial step in the operational process. It is because that the mathematical module in simulation software is almost no cost, simple and easy to go. The assumption in this thesis is that wind turbine is sited in the same location as the Plymouth.[8] The cost of being sited in a research different location and long distance power transmission will be discussed as future research.
The optimization modelling is built using Scilab simulation. Scilab is an engineering simulation software, and Scialb is similar with MATLAB. The characteristic of Scilab is the open source coding. It is means users can coding program by using Scilab languages as their requirement. To built a network, the equation of different cost has been distinguished, which include the thermal only system cost as a test system, and the wind power cost. The variable value of wind information is set as wind turbine scheduled power rather than wind speed. For a given system, the scheduled power canbe calculated from wind speed, however, the wind speed calculation is not animportant partof this paper, and it is only briefly discussed.

This study present a method to incorporate, the variable wind generation in optimal power flow dispatching and can find the best power set up by calculating scheduled power of wind turbine and generators power. The fact work of intermittent wind generation in optimal power flow dispatching will be talk with the result analysis. For the result of the simulation, the program can calculate a best power flow dispatch which has the lowest average cost in a given network.

Publication Type: Thesis (Honours)
Murdoch Affiliation: School of Engineering and Information Technology
Supervisor: Crebbin, Gregory
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