An Aggregation Approach of Load Side Resource Considering Complementary Characteristics and Scenario Requirements

A large number of applications of distributed energy storage, electric vehicles, air conditioning and other flexible resources provide abundant adjustable resources for the power grid. It is of great significance to realize the aggregation of multiple kinds of load-side resources, give play to the flexibility and complementarity of resources, and improve the adjustment ability of load-side resources. This paper proposes a load side resource aggregation method considering complementary characteristics and scenario requirements. Firstly, based on the correlation theory and the regulation characteristic theory, the complementary characteristic indexes including the regulation capacity complementarity rate, the response speed complementarity rate and the dispatch duration ratio complementarity rate were proposed. Then, by Revolving Door Algorithm, the daily load curve was analyzed in segments to obtain the periods of three typical balance scenes of power grid, namely, climbing, peaking and valley filling, and analyze the characteristics of the scene demands. Based on the comprehensive consideration of the resource regulation potential of multiple types of load side, combined with the demand characteristics of scenarios such as peak cutting and valley filling and climbing, load side resources were screened and aggregated with the target of scene fitness to obtain the load persistence curve (resource pool) of different typical scenarios in this period. Finally, simulation verification was carried out on the actual power grid example of a region. The load duration curves of load side resources for different typical power grid balance scenarios are obtained to provide technical support for power grid regulation decision.