Multi-agent energy-carbon collaborative scheduling method with park thermal energy grade stratified matching and full privacy protection

By using thermal energy grade classification and equivalent power conversion models and distributed optimization technology, the problems of thermal energy grade differences and data privacy in industrial parks have been solved, and efficient multi-entity energy and carbon collaborative scheduling has been achieved, improving the energy efficiency and carbon emission reduction of the parks.

CN122596445APending Publication Date: 2026-08-18YANCHENG ELECTRIC POWER DESIGN INST CO LTD +1
1 Cites 0 Cited by

Patent Information

Application Number
CN202610448324.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-07
Publication Date
2026-08-18

AI Technical Summary

Technical Problem

Existing technologies cannot effectively address the differences in thermal energy quality and value gradients within industrial parks, fail to achieve cross-entity waste heat trading and precise matching, and the centralized scheduling architecture leads to data privacy leaks, making it difficult to ensure the stable operation of systems with a high proportion of uncertain new energy sources.

Method used

By constructing a thermal energy grade classification and equivalent power conversion model, establishing a cross-entity waste heat matching mechanism, adopting distributed optimization technology to protect data privacy, and using the alternating direction multiplier method for iterative solution, a mixed integer linear programming model is constructed to achieve multi-entity energy and carbon coordinated scheduling in the park.

Benefits of technology

It significantly improves the efficiency of thermal energy utilization in the park, reduces the consumption of purchased energy, achieves synergistic optimization of energy efficiency and carbon emissions, protects data privacy, and has good engineering promotion value and stability.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The application discloses a park heat energy grade layering matching and full privacy protection multi-agent energy-carbon collaborative scheduling method, relates to the technical field of comprehensive energy system operation and control, and comprises the following steps: S1: according to the temperature range, heat energy is divided into multiple grade levels, and actual heat of different grades is converted into equivalent work for representing the quality value; S2: a multi-agent energy-carbon collaborative optimization scheduling model is constructed, which comprises a local optimization objective function of each agent, a local constraint condition and a multi-agent global coupling constraint; S3: an alternating direction multiplier method is adopted, and only coupling variables are exchanged between each agent and a park collaborative layer for iterative solving, so that the multi-agent energy-carbon collaborative optimization scheduling model is solved under the premise of protecting the internal data privacy of each agent, and an optimal collaborative scheduling strategy is obtained. Therefore, the overall heat energy utilization efficiency of the park is significantly improved, and the collaborative optimization of energy efficiency and carbon emission reduction is realized.
Need to check novelty before this filing date? Find Prior Art