Data center cluster two-stage energy sharing method for multi-element load comprehensive demand response

By building a framework of DCCO and DCPs, a two-stage energy sharing method and Stackelberg game model are adopted to solve the complementary characteristics and demand response problems of multiple loads in the data center cluster, and the energy balance and economic operation of the data center are achieved, and the energy sharing efficiency and stability are improved.

CN120494311APending Publication Date: 2025-08-15XINJIANG UNIVERSITY +1
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Patent Information

Application Number
CN202411881947.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-19
Publication Date
2025-08-15

AI Technical Summary

Technical Problem

The existing technology has failed to fully utilize the flexibility and complementary characteristics of multiple loads in data center clusters, failed to effectively realize the response to power and thermal demands, ignored the spatiotemporal transferability and thermal hysteresis effects of data loads, failed to fully cover the uncertainty of wind power, photovoltaic power generation and loads, and failed to achieve thorough point-to-point energy sharing.

Method used

A two-stage energy sharing method for data center clusters with comprehensive demand response with multiple loads was designed, and a framework containing DCCO and DCPs was constructed. A recent optimization scheduling model based on conditional risk value and a real-time optimization framework based on Stackelberg game was adopted. An internal pricing mechanism for joint electric heating sharing was introduced. Taking into account the temporal and spatial transferable characteristics of data load and the flexibility of household appliances, a refined demand response model was developed.

Benefits of technology

It realizes energy balance and economical operation within the data center cluster, improves the operation flexibility and energy sharing efficiency of the data center, stimulates the enthusiasm for participation of DCPs, optimizes the uncertainty management of wind power and photovoltaic power generation, and improves the stability and economic benefits of overall energy sharing.

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Abstract

According to the data center cluster two-stage energy sharing method based on the multi-element load comprehensive demand response, the first stage is a day-ahead optimization stage, uncertainty probability distribution of wind power, photovoltaic power generation and loads is fully considered in the stage, and a shared energy storage (SES) optimization scheduling method based on a conditional worst-at-risk value (WCVaR) is constructed. The second stage is a real-time optimization stage: firstly, designing a novel point-to-point (P2P) transaction mechanism based on an electricity and heat supply-demand ratio so as to realize joint sharing of electricity and heat between DCPs; then, a refined IDR model is provided, the model considers the space-time transferability of data loads and the flexibility, the thermal hysteresis effect and the thermal comfort of the household appliances, and indexes such as the efficiency improvement ratio are introduced to evaluate the IDR model; and finally, constructing a benefit function of the DCCO and the DCPs.
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