Work

Model-free adaptive incentives control for frequency regulation of distributed energy storage aggregator

Year: 2025

Type: article

Abstract: Distributed energy storage (DES) has the characteristics of fast response and can be used as a high-quality frequency regulation resource cluster of the power grid through effective aggregation. However, the conflict between the autonomy of DES users and the demand for power grid regulation could become a prominent problem. In this study, a flexible control strategy based on broadcasting dynamic incentive signals to energy storage users is proposed to solve this problem. A model-free adaptive incentives control approach for DES aggregators participating in frequency regulation is proposed to tackle the uncertainty of user response and the difficulty of DES cluster modeling. This approach dynamically linearizes the model of a DES cluster using real-time data from the cluster control system and outputs optimal real-time incentive signals. The performance of the proposed incentives control method is compared with the proportional integrator control method. In addition, a frequency regulation capacity bidding strategy based on conditional value-at-risk theory is developed to balance the economy and robustness of frequency regulation of the DES Aggregator. Case studies are conducted on a single-area power system in MATLAB/Simulink, which validate the effectiveness of the method mentioned above.

Source: Energy Conversion and Management X

DOI: 10.1016/j.ecmx.2025.101443

Authors: Xiangmin Huang, Tianlun Wang, Jingyao Zeng, Xuan Zhang, Jun Zeng, Junfeng Liu

Institutions: South China University of Technology, China Electric Equipment Group (China), China Southern Power Grid (China)

Language: English

Topic: Frequency Control in Power Systems

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $3,170