Classification and aggregation method for controllable loads of virtual power plant

Abstract

The invention relates to a classification and aggregation method for controllable loads of a virtual power plant. The method comprises the following steps: step 1, determining a peak regulation performance index and a frequency modulation performance index of the controllable loads; 2, classifying the controllable loads based on the peak regulation performance indexes and the frequency modulation performance indexes of the controllable loads to obtain two sets, namely a frequency modulation service controllable load set and a peak regulation service controllable load set; and step 3, aggregating the controllable loads in the two obtained sets through an NJW spectral clustering algorithm based on a controllable load energy consumption curve to form two sets containing virtual units. The method has the advantages that the controllable load management efficiency of a virtual power plant operator is improved, a more accurate investment strategy is formed for the market, and the like.

Description

technical field [0001] The invention relates to the technical field of virtual power plants, in particular to a classification and aggregation method for controllable loads of virtual power plants. Background technique [0002] In recent years, the reform of the electricity market and the construction of the energy Internet have greatly promoted the development of virtual power plants. Driven by aggregated scale benefits, virtual power plants aggregate controllable distributed resources across regions and types through advanced information collection, control, and communication technologies, giving full play to the flexibility and complementarity of resources. Controlled distributed resources include controllable loads such as air conditioners and washing machines, and controllable power sources such as distributed micro-gas turbines and batteries. They have the characteristics of large numbers and large performance differences. In the auxiliary service market, the time doma...

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Problems solved by technology

[0003] The cluster management of controllable loads in the existing technology is mostly transformed into a clustering problem with power as the core. This aggregation method does not consider the market attributes of virtual power plants, and ignores the performance requirements of auxiliary service products in the time domain. From the perspective of virtual power plant operators, a classification and aggregation method that considers controllable load peak regulation performance indicators and frequency regulation performance indicators is needed to improve virtual power plant operators to achieve more efficient management of controllable loads. Form a more precise investment strategy for the market and get ready

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