Performance and Robustness Evaluation of the Resonance Suppression Strategy for the Photovoltaic Grid-Connected System Based on the Entropy Weight Method

There are numerous broadband resonance phenomena during the operation of new energy grid-connected systems. Therefore, the performance and adaptability of resonance suppression strategies for different resonance scenarios are of great significance. This paper proposed a comprehensive evaluation method based on the entropy weight method to assess the performance and robustness of resonance suppression strategies for photovoltaic (PV) grid-connected systems. Corresponding performance indicators were constructed considering the dynamic response characteristics of PV grid-connected systems. The six suppression strategies were comparatively analyzed in terms of performance and robustness under three scenarios: the LCL (inductor–capacitor–inductor)-type PV grid-connected system, the PV grid-connected system with SVG, and the newly built PV grid-connected system with SVG. This work effectively evaluates the performance and robustness of different suppression strategies, identifies the deficiencies of individual strategies, and provides a theoretical basis for designing flexible resonance suppression strategies with parameter adaptability.

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Publication Details

Journal
Energies
Published
2026-04-13
DOI
https://doi.org/10.3390/en19081886
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Performance and Robustness Evaluation of the Resonance Suppression Strategy for the Photovoltaic Grid-Connected System Based on the Entropy Weight Method

Heling Yang, Shuai Liu, Pengcheng Li, Cong Sun
Energies
Microgrid Control and Optimization
article

Performance and Robustness Evaluation of the Resonance Suppression Strategy for the Photovoltaic Grid-Connected System Based on the Entropy Weight Method

Heling Yang, Shuai Liu, Pengcheng Li, Cong Sun
article en

Abstract

There are numerous broadband resonance phenomena during the operation of new energy grid-connected systems. Therefore, the performance and adaptability of resonance suppression strategies for different resonance scenarios are of great significance. This paper proposed a comprehensive evaluation method based on the entropy weight method to assess the performance and robustness of resonance suppression strategies for photovoltaic (PV) grid-connected systems. Corresponding performance indicators were constructed considering the dynamic response characteristics of PV grid-connected systems. The six suppression strategies were comparatively analyzed in terms of performance and robustness under three scenarios: the LCL (inductor–capacitor–inductor)-type PV grid-connected system, the PV grid-connected system with SVG, and the newly built PV grid-connected system with SVG. This work effectively evaluates the performance and robustness of different suppression strategies, identifies the deficiencies of individual strategies, and provides a theoretical basis for designing flexible resonance suppression strategies with parameter adaptability.

EnergiesVol. 19(8)
Northeast Electric Power University (CN), Shanghai Electric (China) (CN)
Science and Technology Project of State Grid
Affordable and clean energy
Openalex Percentile: Top 23%
Microgrid Control and Optimization
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Performance and Robustness Evaluation of the Resonance Suppression Strategy for the Photovoltaic Grid-Connected System Based on the Entropy Weight Method — Heling Yang, Shuai Liu, et al. · Energies (2026) | TGRS Research Map | TGRS