Calculation Of Available Transfer Capability Considering Temporal And Spatial Correlation In Wind Power Integrated Systems

With the shortage of non-renewable energy and the increasing destruction of fossil fuels to the environment,the exploitation and use of renewable energy resources with abundant and green environmental protection have been rapidly developed.Wind power is widely used as a clean,pollution-free and economically beneficial renewable energy power generation technology.Because of the randomness,volatility,intermittency,and spatial-temporal correlation of wind speed,the large-scale grid connection of wind power brings great challenges to the safe and stable operation of the power system.The available transfer capability(ATC)is an important indicator reflecting the safety and stability margins of power grids and ensuring the smooth progress of power market transactions.How to implement the rapid and accurate calculation of the available transmission capacity of the system is of great significance.To this end,the paper establishes a wind speed model that considers the spatial-temporal correlation and calculates the wind speed prediction error with time-space correlation.The prediction error is superimposed with the wind speed prediction value to obtain a wind speed prediction value with spatio-temporal correlation to solve the spatiotemporal correlation of wind speed.The obtained wind speed prediction value can better reflect the actual wind speed of the wind farm.Then the article builds an ATC calculation model for wind power integrated systems considering the correlation between wind speed and space-time.Simultaneously considering the spatiotemporal correlation of wind speed and the fluctuation of load,the original dual interior point method is used to optimize the ATC calculation model based on the optimal power flow.The system ATC analysis result is more accurate and more practical.While ensuring the accuracy of ATC calculations,it is also important to increase the calculation speed of the ATC system.In particular,online ATC analysis requires more stringent calculation speeds.To this end,it builds an ATC model for wind power integrated systems based on alternating direction multipliers.The model considers the spatial-temporal correlation of wind speeds.Then the ATC calculation model of the wind power integrated system is converted into the standard form of the alternating direction multiplier method(ADMM).Finally,the ADMM is used to optimize the model.This algorithm combines the decomposability of the dual rise method with the good convergence of Luguang-Lagrange multiplier method.The time required for each optimization iteration is short.The algorithm has high computational efficiency,good convergence,and strong robustness.It can well solve the ATC calculation problem of large-scale wind power integrated systems.