Research on real-time voltage control of source network load storage collaboration assisted by historical strategy library under high ratio new energy access
With the promotion of the"double carbon"goal,the number of new load equipment on the user side such as energy storage and charging piles has increased.In this context,the unobservable region caused by unsatisfied measurement conditions will directly make it difficult for traditional voltage control methods to achieve accurate regulation of distributed power supply.In order to solve the a-bove problems,a method of constructing historical strategy library based on the improved Extreme Learning Machine(ELM)based on the Dung Beetle Optimizer(DBO)was proposed to assist the real-time voltage control of source network load storage coordination,which can realize the real-time and accurate voltage control of the distribution network.Firstly,a voltage control method based on approximate sensitivity calculation was introduced,then the concept and combined application method of DBO improved Extreme Learning Machine and historical strategy library was introduced,and an ELM model based on approximate sensitivity calculation of active and reactive power of grid nodes as input and expected voltage of bus as output was built.The bus voltage output of the model was used as the control basis and converted into the user-side adjustable device adjustment instruction issued.The results of simulation examples verified the ef-fectiveness and superiority of the proposed method.
source network load storageapproximate sensitivityDung Beetle OptimizerExtreme Learning Machinehistorical policy li-braryreal-time voltage control
万方数据
维普
