Project Title:R&D and application of virtual power plant (VPP) solution based on trusted computing and energy storage system (ESS) precise regulation

Participating Enterprises: Shanghai Jiaqi Electrical Power Co., Ltd；University of Shanghai for Science and Technology；Shanghai Robestec Energy Co., Ltd

Award Received: Scientific and Technological Progress Award - Bronze Award

Achievement Level: International Advanced Level

Project Number: ECF-2025-SET-1005

Main Participants: Hu Jinshuang, Sun Weiqing, Shi Jie, Yang Wenwei, Wang Haibing, Wang Youjia, Yuan Liyang, Qin Xiangfu

Expert Review Comments:
International advanced level.This project addresses the challenge of balancing data reliability and real-time performance in virtual power plant construction. By integrating trusted computing, blockchain, and generative AI technologies, it has developed a virtual power plant solution that unifies precise energy storage control with data security. The project achieves trustworthy on-chain recording of operational data, traceable management, and intelligent dispatch optimization, significantly enhancing the reliability and control efficiency of virtual power plant operations. The outcomes have been demonstrated in Shanghai, Jiangsu, and other regions, yielding positive economic and social benefits. With strong replicability and scalability, the solution provides effective support for distributed energy coordination and green, low-carbon transformation.

Main Innovations:

(1)For the contradiction of data traceability and real-time performance in VPP scenarios, based on block chain technology of Ant Group, develop business application model and algorithm on uplinked data,ensure credibility, traceability and real-time performance.

Based on block chain technology of Ant Group, realize VPP operation data uplinking into block chain andinformation transmission effect with high performance, reliability and privacy. Use self-developed trustlabel, realize unchangeable storage of VPP operation data, ensure aggregation and billing trustability and trace ability of huge customer resources. Develop several algorithms ofresponding capability assessment responding scheme calculation, clearing deviation optimization and adjustment, double-check of responding result and etc, ensure real-time performance of uplinked data. lmprove the operation and billing performance of YPP.

(2)Develop precise regulation strategy ofenergy storage system (ESS) based on Generative AItechnology in VPP, functioning as balancing machine of power system.Use Generative Al technology to predict generation of distributed renewable energy, customer load and assess operation status of adjustable resources. Thus based on the assessment result of ESS operation statusand controllable capability, ESS is equivalent as balancing machine for all the aggregated resources,balancing multiple uncertainties and realizing precise regulation of VPP. In a PV and ESS integrated microgrid project in Songjiang of Shanghai, responding accuracy is improved by 20% because this precise ESS regulation strategy is adopted to remedy the disturbance by PV and load.

Main Uses and Technical Principles:

1)Application: virtual power plant operator or aggregator business operation.

2) Technical principle: Operated as VPP operator, aggregator, electricity selling company and etc, VPputilizes new ICT and system integration technology, realizes aggregation, coordination, optimization of demand side resources, forms large-scale adjustable capability supporting safe operation of power system.In the viewpoint of technology, VPP adopts loT, Al, other technologies and Internet platform, aggregatesadjustable load, distributed generator (DG), electrical vehicle (EV), distributed ESS and etc which aredistributed in different regions and contain various types, participates in power grid operation via powermarket as a special power source. This project provides VPp operator a suite oftechnical platformsupporting its VPp business operation.

Technical Applications:

The project results have been implemented and validated through multiple agreements, demonstrations, and service deployments, including:

• 2024 Annual Virtual Power Plant Application Certification (Jiaqi Electric Power)

• Electricity Demand Response Aggregation Agreement (Shanghai Hongqiao Business District Energy Service – Jiaqi Electric Power)

• User Application Certification (Energy Service)

• User Application Certification (New Energy)

• Electricity Demand Response Aggregation Agreement (Youfu & Jiaqi)

• Electricity Demand Response Aggregation Agreement (Shanghai Di – Jiaqi Electric Power)

• Nantong Guoxuan Virtual Power Plant SaaS Service Contract

• Shanghai Jiuxing Energy Virtual Power Plant SaaS Service Contract

• User Application Certification – Shanghai Rongfangneng New Energy Technology Co., Ltd.

These successful applications verify the technology’s high reliability, scalability, and practical value, establishing it as a benchmark solution for the next-generation intelligent and trustworthy virtual power plant ecosystem.