Load side demand response peak regulation resource allocation method and device, equipment and medium

By analyzing the multi-dimensional source load correlation and establishing probability density distribution, the uncertainty problem of peak-shaving resource allocation in the dispatching center after renewable energy is connected to the grid is solved, the effectiveness and cost-effectiveness of resource allocation are improved, and the application of the system is enhanced sex.

CN119171461AActive Publication Date: 2024-12-20HOHAI UNIV
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Patent Information

Application Number
CN202411690982.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-25
Publication Date
2024-12-20
Estimated Expiration
2044-11-25

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Abstract

The invention relates to the technical field of demand response, in particular to a load side demand response peak regulation resource allocation method and device, equipment and a medium, and the method comprises the steps: obtaining wind power, photovoltaic and load power utilization data, analyzing the multi-dimensional source-load correlation, and generating joint probability density distribution; effects of peak regulation resources configured by the dispatching center in different scenes are analyzed, and utility functions are established respectively; obtaining a typical scene according to the joint probability density distribution, and calculating the scene probability to obtain the probability density distribution of the peak regulation demand; representing different decision behaviors of the dispatching center by utilizing probability density distribution of peak regulation demand quantity, and establishing a dispatching center peak regulation resource allocation model under an uncertainty condition based on a utility function; and solving the peak regulation resource allocation model by taking effectiveness maximization as a target to obtain the peak regulation resource allocation method. According to the method, the effectiveness of resource configuration can be improved, the configuration cost is reduced, and the reliability and applicability of a planning result are effectively improved.
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