Optimized scheduling study of user side energy storage in cloud energy storage model
Huidong Wang1, Haiyan Yao2, Jizhou Zhou2
1State Grid Zhejiang Hangzhou Yuhang District Power Supply Company, Hangzhou, 311100, China. wangyuqing990701@163.com.
Scientific Reports
|November 2, 2023
Summary
Cloud energy storage optimizes decentralized user-side energy storage systems. This approach enhances renewable energy absorption and grid stability through intelligent scheduling, improving resource utilization.
Area of Science:
- Energy Systems Engineering
- Electrical Engineering
- Renewable Energy Integration
Background:
- The ongoing power system reform necessitates efficient energy storage solutions for frequency regulation and peak load management.
- User-side small energy storage devices offer flexibility but suffer from spatial decentralization, posing challenges for optimal resource allocation and cost reduction.
Purpose of the Study:
- To introduce the concept of cloud energy storage for decentralized user-side systems.
- To propose a system architecture, operational model, and scheduling strategy for optimizing small energy storage resources.
Main Methods:
- Developed a cloud energy storage concept and operational model tailored to user-side energy storage deployment.
- Designed a cluster scheduling matching strategy using dynamic power demand, real-time pricing, and load-side supply data.
Main Results:
- The proposed operational mode and scheduling scheme maximize renewable energy absorption.
- Demonstrated improved utilization rates for user-side energy storage resources.
- Verified contributions to power grid peak shaving and load leveling.
Conclusions:
- The cloud energy storage model offers a viable solution for managing decentralized user-side energy storage.
- The developed scheduling strategy effectively optimizes resource allocation and enhances grid performance.
- This research provides valuable insights for novel energy storage applications in modern power grids.
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