Research Status of Virtual Power Plants Based on Big Data

With the arrival of the Internet plus era, renewable energy has become the main direction of global development in the future. The data generated in the actual operation of the power grid also shows a massive and diverse trend, in order to tap the intrinsic value of power grid data. The use of modern technology to analyze data generated by the power grid plays a very important role in load control and scheduling of the power grid. This article takes virtual power plants as the main form of grid connection as the research object, mainly studying the application of big data technology in the direction of virtual power plants. Then, it analyzes the architecture of virtual power plants, and finally explores the future development direction of virtual power plants.

Authors

Institutions

Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/spic62469.2024.10691462
Primary Topic
Smart Grid and Power Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research Status of Virtual Power Plants Based on Big Data

Lidong Fu, Awei Ma, Rongzeming Huang
Smart Grid and Power Systems
article

Research Status of Virtual Power Plants Based on Big Data

Lidong Fu, Awei Ma, Rongzeming Huang
article en

Abstract

With the arrival of the Internet plus era, renewable energy has become the main direction of global development in the future. The data generated in the actual operation of the power grid also shows a massive and diverse trend, in order to tap the intrinsic value of power grid data. The use of modern technology to analyze data generated by the power grid plays a very important role in load control and scheduling of the power grid. This article takes virtual power plants as the main form of grid connection as the research object, mainly studying the application of big data technology in the direction of virtual power plants. Then, it analyzes the architecture of virtual power plants, and finally explores the future development direction of virtual power plants.

Shenyang Ligong University (CN)
Affordable and clean energy
Openalex Percentile: Top 86%
Smart Grid and Power Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.