Demand-Side Resources Aggregation Modeling and Collaborative Operation Based on Digital Technology

This paper proposed a new collaborative operation strategy and heterogeneous resource aggregation modeling based on digital technology for the three-layer distributed dispatch framework. The method has the characteristics of rapid response and reduced regulation cost. To real-time reflect the charac...

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Bibliographic Details
Published in2023 IEEE International Conference on Energy Internet (ICEI) pp. 12 - 16
Main Authors Deng, Limin, Zhu, Jiazheng, Huang, Bonan, Zhang, Yameng, An, Xingchen
Format Conference Proceeding
LanguageEnglish
Published IEEE 20.10.2023
Subjects
aggregation
Costs
demand-side resources
digital technology
Digital twins
GA-BP neural network
Neural networks
Optimization
power dispatch
Prediction algorithms
Real-time systems
Regulation
response strategy
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Summary:This paper proposed a new collaborative operation strategy and heterogeneous resource aggregation modeling based on digital technology for the three-layer distributed dispatch framework. The method has the characteristics of rapid response and reduced regulation cost. To real-time reflect the characteristics and operating status of demand-side resources, data-driven techniques were utilized to implement system modeling and optimization. Furthermore, a power prediction model was proposed that combines GA-BP neural networks with a similar day algorithm, which can accurately calculate the aggregate potential of distributed resources. Two case studies are conducted to illustrate the feasibility and practical application potential of the proposed modeling method and control strategy.
DOI:10.1109/ICEI60179.2023.00012