Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University), Jinan 250061, China

The randomness of power disturbance leads to the uncertainty of the frequency regulation energy of wind power,resulting in that the setting parameters of frequency regulation may not match the actual frequency regulation capability and may be unknowable. At the same time, the virtual inertia and the primary frequency regulation have the same energy source of frequency regulation, which cannot achieve a reasonable natural distribution, making the power grid unable to obtain equivalent parameters that reflect the frequency regulation capability of the wind farm. Therefore, from the perspective of grid operation, a linked distribution mechanism of frequency regulation energy of wind power is constructed, so that the virtual inertia and primary frequency regulation are linked up to distribute the energy of the two frequency regulation links under the total constraint. On this basis, considering the capture loss of the mechanical energy of the operation point offset, an expression model of the net energy that can be released by the wind turbine is obtained according to the wind speed information. Furthermore, the equivalent frequency regulation parameters are calculated according to the energy distribution model, so that the wind power can participate in the entire process of rapid frequency regulation at low and medium wind speeds, which avoids energy imbalances between grid frequency regulation links, and has clear equivalent frequency regulation parameters that match the time-varying wind speed and actual frequency regulation capabilities. Finally, the application modes of the proposed method on the wind farm side and the power grid side are clarified. The simulation results show that the equivalent frequency regulation parameters of the wind power can be updated by obtaining the value of changing wind speeds, which has the characteristics of linkage and knowability, and is time-varying following the changing wind speeds, and can effectively feedback the actual frequency regulation capability of wind power, so that frequency regulation capability levels of the wind farm and the whole network are timely obtained for the grid operation.

This work is supported by Shandong Provincial Natural Science Foundation of China (No. ZR2021ME102).