Abstract
[Objective] Due to the 14th Five-Year Plan and the “30·60” double carbon targets advocates energy reform, the number of articles on virtual power plant (Abbreviation is VPP) has surged, the annual number of articles published has maintained a positive growth trend. In the context of big data, the research track of VPP is sorted out by literature measurement method and visual knowledge graph. It will provide a reference direction for the following scholars’ research and accelerate the combination of emerging technologies and VPP. [Methods] Through the data collection of CNKI related literature on VPP in China in the past 20 years, Using CiteSpace to process and analyze big data, rapidly form a visual map to reveal the development and evolution trajectory of VPPs, and make it easier to track research hotspots and core frontier technologies. [Result/Conclusion] The knowledge map generated by big data reveals the research hotspots of VPP and the evolution trajectory of research hotspots, and the conclusion obtained is more reasonable and realistic significance. Through the map, the main technological research directions of VPP were controllable load, distributed energy resource, communication and energy storage. It aims to achieve the stability of massive distributed energy resource grid-connection, fast and safe communication, expansion of energy storage capacity and overall economic benefits, etc. Combined with the current research on VPP in China, the research on VPP in the future will closely follow the trend of national policies, and the emergence of new energy will gradually disperse and diversify the research on VPP.
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Acknowledgments
The research was supported by 2022 POSTGRADUATE EDUCA TION AND TEACHING REFORM PROJECT IN JIANGSU PROVINCE: Grant number JGKT22_B029, 2022YJYJG01; JIANGSU PROVINCIAL SOCIAL SCIENCE FOUNDA-TION YOUTH PROJECT: Grant number 21TQC003; MAJOR PROJECT OF PHILOSOPHY AND SOCIAL SCIENCE RESEARCH IN UNIVERSI TIES OF JIANGSU PROVINCE: Grant number 2021SJZDA178; THE INNOVATION FUND GENERAL PRO-JECT I OF NANJING INSTITUTE OF TECHNOLOGY, Grant number CKJB202003; The TEACHING REFORM AND CONSTRUCTION PROJECT OF NANJING INSTITUTE OF TECH-NOLOGY, Grant number JXGG2021031; and Graduate Student Education and Teaching Reform Project of Nan**g Institute of Technology in 2023(NO. 2023YJYJG12); National Alliance for the Development of Graduate Education in Applied Universities of 2022(NO. AGED2022YB08); and JIANGSU PROVINCE EDUCATION SCIENCE “14TH FIVE-YEAR PLAN” 2021 ANNUAL PROJECT, Grant number C-c/2021/01/62.
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Zhang, Y., Liu, P., Xu, H., Wang, M. (2023). Research Hotspots and Evolution Trend of Virtual Power Plant in China: An Empirical Analysis Based on Big Data. In: Tian, Y., Ma, T., Jiang, Q., Liu, Q., Khan, M.K. (eds) Big Data and Security. ICBDS 2022. Communications in Computer and Information Science, vol 1796. Springer, Singapore. https://doi.org/10.1007/978-981-99-3300-6_9
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