Research on peak shaving costs and allocation of wind power integration using scalable computing method

As the development of wind power, especially the planning and construction of large-scale wind power base, doing research on acceptance capacity for wind power and auxiliary services recovering mechanism of wind power integration. Improved auxiliary services recovering mechanism plays a very important role in improving grid acceptance, reducing abandoned wind power and improving economic efficiency of wind power. An alternative approach is to compensate those conventional units providing support services for wind power units. Ancillary services caused by wind power integration include peak shaving, frequency modulation, automatic generation control (AGC), reserve, reactive power regulation and black startup. In this paper, we consider peak shaving, the peak shaving costs caused by wind power integration is quantified and the applicability of cooperative method on peak shaving costs apportion. A numerical example is accepted to analyze the energy consumption increments of thermal power units. Also, we use Shapley allocation method to determine the peak shaving costs recovering for each unit caused by wind power integration. The results tend to be a reference for peak shaving costs allocation for conventional units after wind power integration.