Method, device, equipment, medium and product for determining user benefits of virtual power plant

By performing dimensionality reduction and cluster analysis on the electricity consumption data of virtual power plant users, medium- and long-term and day-ahead trading decisions are generated, and individual user benefit models are constructed. This solves the problem of unfair benefits for virtual power plant users, and achieves reasonable distribution of benefits and stimulates user participation.

CN120338919BActive Publication Date: 2026-06-09TAIYUAN CITY FENGXING MEASUREMENT & CONTROL TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
TAIYUAN CITY FENGXING MEASUREMENT & CONTROL TECH
Filing Date
2025-04-02
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Virtual power plants face issues of unfair and unreasonable distribution of user benefits under the spot trading model, leading to operational risks and insufficient user participation.

Method used

By performing dimensionality reduction and cluster analysis on the electricity consumption data of each user in the virtual power plant, medium- and long-term trading decisions and day-ahead spot trading decisions are generated, an individual user income model is constructed, and the dividend sharing ratio is determined based on the Sharpe ratio.

Benefits of technology

It has achieved a fair and reasonable distribution of revenue for virtual power plant users, improved users' profitability and their enthusiasm for market participation in resource regulation, and reduced operational risks.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application discloses a method, apparatus, equipment, medium, and product for determining user revenue of a virtual power plant. The method includes: obtaining multi-period electricity consumption characteristics of the virtual power plant based on the electricity consumption data of each user; obtaining medium- and long-term trading decisions and the overall medium- and long-term revenue of the virtual power plant based on the multi-period electricity consumption characteristics and the medium- and long-term trading rules of the virtual power plant; obtaining day-ahead spot market declaration trading decisions and spot market curve declaration revenue based on the multi-period electricity consumption characteristics and a prediction model of the virtual power plant; obtaining the excess profit recovery fee for individual users based on the overall regulation characteristic baseline of the virtual power plant and the electricity consumption regulation deviation of each user; and constructing a user individual revenue model and determining the user dividend revenue of the virtual power plant based on the overall medium- and long-term revenue of the virtual power plant, the spot market curve declaration revenue, and the excess profit recovery fee for individual users. This application can achieve the rationality and fairness of user revenue distribution.
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