Optimized Mesoscale Wind Farm Placement Constrained by Power System Including Earthquake Damage Costs

Abstract

Generation expansion of wind power plants is known to span optimization of several different physical scales. On one hand, there is the power system that needs to be duly considered. Power system has different voltage level scales that eventually leads to taxonomy of transmission as well as distribution classification of the power system. On the other hand, wind power based generation follows spatial atmospheric scales that eventually leads to mesoscale and microscale classification of wind power generation. Consequently, optimal expansion of wind farm generation addresses different scales at the level of not only the power system, but also at the level of wind power generation. In addition there are impacts of disaster parameters at spatial-temporal levels, such as earthquakes, something that this article will also focus on. The objective of this study is to investigate a topic of optimization for wind farms relatively less researched in the context of power systems that is wind farm generation expansion at mesoscale level while considering the costs inflicted by earthquake disasters. This is in contrast to generation expansion optimization at microscale level executed for each individual single turbine that does not really need to address generation expansion connection of wind farms in accordance with several different busbars. The mesoscale optimization will be achieved by leveraging the linear optimization method of Benders' Decomposition. Meanwhile the constraints of optimization will be the power system.