Overview of Research Status and Development of New Power Energy Systems
The development of the new power energy system is currently at a critical stage of transitioning from perceptual intelligence to cognitive intelligence. Traditional power energy information systems are unable to meet the requirements of digital development. In order to build a stronger digital power grid, the digital transformation of the new power energy system is at an urgent moment. The existing data processing frameworks are divided into two types: data oriented processing frameworks for the entire data process and knowledge graph based processing frameworks. In this article, firstly, starting from the system oriented towards the entire data process, the concept and development of the entire data process oriented approach are introduced, and the six dimensional data composition and six data processing stages of the entire data process oriented approach are analyzed; Then we introduce the system based on knowledge graph, providing a universally recognized definition and development of knowledge graph, and summarize the architecture and methods of knowledge graph; Finally, we analyze and explore the direction of integrating data throughout the entire process and knowledge graph, and provide prospects for the future of new power energy systems.
Authors
- Lufeng Yuan (ORCID: https://orcid.org/0000-0003-0081-2271)
- Q. C. Feng (ORCID: https://orcid.org/0009-0002-8038-312X)
- Jiangbo Yin (ORCID: https://orcid.org/0009-0002-9825-334X)
- Shijie Gao (ORCID: https://orcid.org/0000-0003-4717-4094)
- Yi Shen (ORCID: https://orcid.org/0000-0002-0696-8253)
- Xin He (ORCID: https://orcid.org/0009-0005-7351-8374)
- Zehao Yu (ORCID: https://orcid.org/0000-0003-2879-5653)
- Haiqiang Zhang (ORCID: https://orcid.org/0000-0002-4840-1642)
Institutions
- PowerChina (China) (CN)
Publication Details
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1109/ei264398.2024.10990708
- Primary Topic
- Power Systems and Renewable Energy
- Type
- article
- Field-Weighted Citation Impact
- 0.00