| It’s an inevitable tendency for grid to be developed intelligent, that is integration multiple technology such as modern information, communication, control and decision and so on that will be applied into the every production chain related with power grid, and thus make grid more informative, more automatic, more interactive. With the construction of smart gird in China, the different development level of smart grid has been demonstrated among different regions. In order to be clear of the development condition and to instruct the planning of future grid, development level evaluation of smart grid is urgently necessary.Firstly, an index system of smart grid that concerns both construction foundation and operation effect is established. We conclude the construction process of the smart grid as automation, interaction and information, and analyze the application status of technologies in every part of smart grid. At last we establish the construction foundation index system. Considering the basic function and social responsibility of smart grid, we summarize the target of smart grid to safety and reliable, economical and efficient, clean and green, open and interactive. Based on above four aspects, operation effect index system is established. Meanwhile qualitative analysis of the relationship between the two index systems is done.Secondly, after fully consideration of subjective factors, objective factors as well as the difference and correlation between indexes, we decide the weight of operation effect indexes by synthetically using correlation analysis method, coefficient of variation method and analytic hierarchy process. Meanwhile, we apply gray system prediction to the forecast of development potential, which is a factor of the weight. Because of the lack of smart grid data, and the big grey scale of existing data, we choose grey clustering method to evaluate operation effect of smart grid. In order to analyze the influence from construction to effect, we calculate the relevancy degree between two types of indexes quantitatively by using grey relational analysis method. Then we acquire the weight of construction foundation indexes.In the end, we design a comprehensive evaluation system of smart grid that can analyze and calculate the indicator statistics and obtain detailed evaluation results efficiently. We apply our method to evaluate the development level of the smart grid in three provinces in 2011-2014, and the results show that we realize a comprehensive evaluation on development level of smart grid with our proposed method. The measurement and calculation on the correlation between the two types of indexes not only contribute to exploring the influence of construction foundation of the grid on operation effect but also help us to put forward pertinent advice for the weak link of smart grid development. The proposed evaluation method can help make explicit construction direction of smart grid and improve the efficiency of the construction as well. |