Semimonthly

ISSN 1000-1026

CN 32-1180/TP

+Advanced Search 中文版
Zonotope-based Wide-area Aggregation and Regulation Method for Distributed Resources in Virtual Power Plant
Author:
Affiliation:

1.School of Electrical Engineering, Southeast University, Nanjing 210096, China;2.R&D Nester, Centro de Investigação em Energia REN—State Grid, S.A., Lisbon, Portugal;3.China Electric Power Research Institute (Nanjing), Nanjing 210003, China

Abstract:

Due to the widespread adoption of distributed resources at the distribution network side, the exploration of their significant flexibility potential has become increasingly crucial. First, the air conditioning load, energy storage device and diesel generator are selected as representative resources to establish dynamic electrical models for these specific resources and delineate their feasible regions. Then, leveraging the foundation of Zonotope, an efficient aggregation method tailored for wide-area distributed resources is proposed. On this basis, aiming at the unique mathematical form of Zonotope, a precise mathematical transformation method between Zonotope and polytope in half-space form is proposed. And the aggregation clusters of specific distributed resources are applied to the optimized regulation in the virtual power plant scenario through this method. The effectiveness of this aggregation method is validated through numerical analysis, and its advantages in accuracy are compared with other aggregation methods. Finally, the effectiveness of the regulation method after resource cluster aggregation in terms of economy and computational efficiency is analyzed by combining the results of the case study.

Keywords:

Foundation:

This work is supported by State Grid Corporation of China (No. 5108-202218280A-2-260-XG).

Get Citation
[1]XU Tianyun, CHEN Tao, ZHANG Xin, et al. Zonotope-based Wide-area Aggregation and Regulation Method for Distributed Resources in Virtual Power Plant[J]. Automation of Electric Power Systems,2024,48(18):139-148. DOI:10.7500/AEPS20240513002
Copy
Share
History
  • Received:May 13,2024
  • Revised:July 30,2024
  • Adopted:August 06,2024
  • Online: September 23,2024
  • Published: