Abstract
AbstractThis chapter studies the aggregation of large-scale distributed flexibility resources, and aggregates a large number of flexible loads into a small number of aggregation load models. This chapter mainly considers large scale demand response aggregation and distributed energy storage aggregation. From the study of large-scale demand response and distributed energy storage, it is found that they need effective clustering and aggregation equivalence methods to give play to their flexibility value. Demand response contains a large number of transferable and interruptible loads, when large-scale interruptible and shiftable load is connected to the power system and its operation mode is optimized, the system operation cost will be reduced and greater flexibility will be provided for the system. The most representative of distributed energy storage is electric vehicle (EV), the randomness of large-scale electric vehicles will significantly influence the reliable and economic operation of power systems, while integrating a large population of EVs into the system-level operation and market bidding makes sense, so it is essential to construct an aggregate model to capture their available flexibility.
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