ABSTRACT
In recent years, renewable energy is developing rapidly in China and wind power, as the current generation technology, plays an increasingly important role in the strategic restructuring of China’s energy and power development. Since the output characteristics of wind power is different from conventional hydropower and thermal power (which is controlled by an external output of wind energy), its impact cannot be ignored. This includes the conventional power scheduler operation mode and the selection of spare capacity. Large-scale wind power integration puts forward new demands on our power supply planning theory [1]. Some scholars have studied Power Planning after large-scale wind power was integrated: Reference [2] studied the optimal expansion planning problem using the dynamic programming algorithm for the planning period, for the limited size of the grid system by wind farms and photovoltaic cells composed of N years, keeping in view the meteorological data, the characteristics of historical load data, wind farms and photovoltaic cells, energy costs and other factors. Reference [3,4] assessed the impact of investing in wind power to power planning by Wind turbines
2 CORRELATION OF WIND POWER OUTPUT AND LOAD
Correlation of wind power output and load under the correlation coefficient concept of mathematical statistics was studied. Specific expression of the correlation coefficient is as follows
nn =
( )( )
( ) ( )
− −
− − L t
(1)
where, pw is wind power output of each period; pw is the average output of wind turbines in the study period; pL is the load of each period; pL is the average load study period. l is at [−1,1], when it is negative, indicating that the wind power and the load has a negative correlation; and a positive value indicates a positive correlation between the load; and the greater its value indicating the larger correlation.
