Research on Flexible Scheduling Mechanism Based on User Side Load Aggregation in Networked Virtual Power Plants-Taking the Intelligent Transformation of Air Conditioning Load as an Example

Grid-forming Virtual Power Plants (GF-VPPs) enhance distribution network flexibility by aggregating user-side loads. This paper proposes a cloud - edge - terminal scheduling mechanism for air conditioning loads, integrating global optimization, real-time control, and data-driven execution. It enables rapid response to dispatch signals while preserving user comfort. Simulations show a 40 % latency reduction, 70 % higher participation, and 35 % better frequency stability. A field pilot validates its effectiveness and acceptance. This scalable framework supports flexible load scheduling and strengthens source - load coordination in emerging power systems.

Authors

Institutions

Publication Details

Published
2025-08-20
DOI
https://doi.org/10.1109/psgec66102.2025.11150971
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Flexible Scheduling Mechanism Based on User Side Load Aggregation in Networked Virtual Power Plants-Taking the Intelligent Transformation of Air Conditioning Load as an Example

Hongli Su, Haiyang Liu, Zhongqi Pan, Xin Liu et al.
Smart Grid Energy Management
article

Research on Flexible Scheduling Mechanism Based on User Side Load Aggregation in Networked Virtual Power Plants-Taking the Intelligent Transformation of Air Conditioning Load as an Example

Hongli Su, Haiyang Liu, Zhongqi Pan, Xin Liu, Pengcheng Guo, Mengjie Zhao, Jun Xu, Yang Shen
article en

Abstract

Grid-forming Virtual Power Plants (GF-VPPs) enhance distribution network flexibility by aggregating user-side loads. This paper proposes a cloud - edge - terminal scheduling mechanism for air conditioning loads, integrating global optimization, real-time control, and data-driven execution. It enables rapid response to dispatch signals while preserving user comfort. Simulations show a 40 % latency reduction, 70 % higher participation, and 35 % better frequency stability. A field pilot validates its effectiveness and acceptance. This scalable framework supports flexible load scheduling and strengthens source - load coordination in emerging power systems.

Accenture (Switzerland) (CH), State Grid Corporation of China (China) (CN), Huzhou Normal University (CN)
Openalex Percentile: Top 77%
Smart Grid Energy Management
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.