Scheduling Method for Virtual Power Plants Based on Analysis and Forecasting of Heterogeneous Load Characteristics

Authors

Runzhao Zhang, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China
Yanbo Chen, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China
Tao Huang, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China
Haoxin Tian, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China
Tuben Qiang, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China
Zhi Zhang, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China

Abstract

Abstract: To improve the electricity supply-demand situation by rationally utilizing demand response resources, a two-layer optimal scheduling model for virtual power plants (VPPs) based on the analysis and forecasting of heterogeneous load characteristics was proposed. With the differences in response characteristics of multi-type loads considered, a demand response model for multi-type loads was constructed by using a customer baseline load (CBL) curve forecasting method that integrated dynamic scenario generation and K-means++ clustering. A two-layer optimal scheduling model for VPPs that incorporated load aggregators and demand response was established. In this model, the upper layer conducted optimal scheduling targeting maximizing the net operating profit of VPPs, while the lower layer simulated market clearing aimed at maximizing the net profit of load aggregators. The simulation experimental results indicate an improvement of 4.58% in the economic benefit of VPPs through the full utilization of the flexibility of adjustable resources, which validates the effectiveness of the proposed
optimal model.

Recommended Citation

Zhang, Runzhao; Chen, Yanbo; Huang, Tao; Tian, Haoxin; Qiang, Tuben; and Zhang, Zhi (2025) "Scheduling Method for Virtual Power Plants Based on Analysis and Forecasting of Heterogeneous Load Characteristics," Journal of System Simulation: Vol. 37: Iss. 12, Article 3.
DOI: 10.16182/j.issn1004731x.joss.25-0602
Available at: https://dc-china-simulation.researchcommons.org/journal/vol37/iss12/3

First Page

2994

Last Page

3006

CLC

TP391.9

Recommended Citation

Zhang Runzhao, Chen Yanbo, Huang Tao, et al. Scheduling Method for Virtual Power Plants Based on Analysis and Forecasting of Heterogeneous Load Characteristics[J]. Journal of System Simulation, 2025, 37(12): 2994-3006.

Corresponding Author

Chen Yanbo

DOI

10.16182/j.issn1004731x.joss.25-0602