In order to solve wind power accommodation problem in China

this paper proposes to take advantage of clean energy’s long-term seasonal fluctuation characteristics over annual or monthly period

or to utilize the complementary nature of power supply and load characteristics in different regions. By building power and energy joint optimization model for long-term large-range wind power accommodation to minimize system operating costs

key problems like temporal-coupling power and energy joint optimization modelling problem

multi-generation

generation and transmission coordinative optimization modelling problem are solved. In addition

quantified decision making for long-term large-range wind power accommodation is achieved by using mixed integer programming (MIP). The model is tested with a practical example of a regional grid power system. The numerical example shows that the model can coordinately optimize different types of generating units and transmission lines in a long period

and improve the accommodation level of wind energy. This work is supported by National Natural Science Foundation of China (No. 51477157) and State Grid Corporation of China (No. DZN17201400039).