Development of a primary frequency regulation capability evaluation index for wind-solar-storage systems based on the entropy weight method

Authors

  • Congshan Li College of Electrical and Information Engineering Zhengzhou University of Light Industry, 450002 Zhengzhou China https://orcid.org/0000-0003-1321-7519
  • Jiahao Gao College of Electrical and Information Engineering Zhengzhou University of Light Industry, 450002 Zhengzhou China
  • Ping He College of Electrical and Information Engineering Zhengzhou University of Light Industry, 450002 Zhengzhou China
  • Yuqi Ji College of Electrical and Information Engineering Zhengzhou University of Light Industry, 450002 Zhengzhou China
  • Hang Wei College of Electrical and Information Engineering Zhengzhou University of Light Industry, 450002 Zhengzhou China

DOI:

https://doi.org/10.24425/aee.2026.158264

Abstract

With the deepening of the construction of the new power system, the penetration
rate of new energy in the power system continues to increase significantly. However, the
traditional assessment of the ability of new energy (wind, solar, and storage) to participate
in the primary frequency response (PFR) of the system exhibits limitations due to the difficulty
in fully considering their differentiated characteristics. Therefore, this study develops
a comprehensive evaluation index system for the PFR performance of wind-solar-storage
new energy systems based on the entropy weight method. This system fully incorporates the
characteristics of wind power generation, photovoltaic power generation, and energy storage
systems in terms of frequency response and operational constraints, establishing overall PFR
capability evaluation indicators of the system, as well as specialized and refined evaluation
indicators for each technology. Simulation results demonstrated the methodology’s effectiveness,
demonstrating its capability to accurately assess frequency regulation capacities while
considering the distinct operational characteristics of wind, solar, and storage technologies.
These findings provide theoretical guidance for optimizing frequency regulation resource
allocation and operational strategies in renewable-dominated power systems.

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Published

2026-06-10

How to Cite

Li, Congshan, et al. “Development of a Primary Frequency Regulation Capability Evaluation Index for Wind-Solar-Storage Systems Based on the Entropy Weight Method”. Archives of Electrical Engineering , vol. 75, no. 2, June 2026, pp. 363-86, doi:10.24425/aee.2026.158264.

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