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Research on a Hierarchical Model Predictive Control Strategy of Wind Power Cluster

Release date:2022-06-06  Number of views:2801   Amount of downloads:1101   DOI:10.19457/j.1001-2095.dqcd22576

      Abstract: Aiming at the problem of active power dispatch and control in the grid-connected power system of

large-scale wind power clusters(WPC)of distributed wind farms,a hierarchical model predictive control(HMPC)

strategy based on dynamic power dispatch was proposed. Firstly,the dispatch framework was divided into four

levels:intraday dispatch,real-time dispatch,cluster optimization and wind farm modulation,so that wind power

dispatch could have a fine time scale. Secondly,the downstream rotation and transmission path were used to

maximize the wind power output of the wind farm modulation layer,and the numerical feature method was used to perform layered analysis to improve the accuracy of the wind power forecast data in the optimization model. Finally,simulation experiments were conducted using real wind farm data to verify the effectiveness of the proposed control strategy. Experimental results show that the proposed HMPC strategy can make full use of the forecast information of multiple time scales and adaptation factors of wind power clusters,effectively improve the utilization of wind power cluster transmission paths,and improve the accommodating space of wind power and the accuracy of dispatching.


      Key words: wind power cluster(WPC);model prediction;active power;hierarchical model;wind farm





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