A Critical Review of State-of-the-Art Stability Control of PV Systems: Methodologies, Challenges, and Perspectives

With the continuous and rapid growth of global photovoltaic (PV) installed capacity, the fluctuation, intermittence, and randomness of its output aggravate the inertia loss of traditional power systems, which poses severe challenges to grid voltage stability, frequency regulation, and safe operation of equipment. Stability control of PV power stations has become a necessary aspect of technical support for the construction of new power systems (NPSs). In this paper, a technical analysis framework of stability control of photovoltaic power stations is systematically constructed. First, the core stability problems of photovoltaic systems are sorted out. Then, a technical review of the three control levels, namely the equipment, system, and grid, is carried out. At the same time, the application potential of emerging technologies such as data-driven and AI control, digital twin predictive control, and advanced grid-forming (GFM) inverters is described. Based on existing reviews, this paper proposes an equipment–system–grid hierarchical analysis framework and explicitly integrates emerging technologies with classical methods. This framework provides references for the selection, engineering deployment, and future research directions of stability control technologies for photovoltaic power plants, while also offering technical support for the safe and efficient operation of high-penetration renewable energy power grids.

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Publication Details

Journal
Energies
Published
2026-01-20
DOI
https://doi.org/10.3390/en19020507
Citations
1
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
9.79
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article

A Critical Review of State-of-the-Art Stability Control of PV Systems: Methodologies, Challenges, and Perspectives

Bo Yang, Deng Wang, X. Wan, Yangyang Wu et al.
1 citations
Energies
Photovoltaic System Optimization Techniques
9.79
article

A Critical Review of State-of-the-Art Stability Control of PV Systems: Methodologies, Challenges, and Perspectives

Bo Yang, Deng Wang, X. Wan, Yangyang Wu, Yuming Zhang, Runzhi Mu, Xiaolong Song, Liming Sun
article en
1 citations

Abstract

With the continuous and rapid growth of global photovoltaic (PV) installed capacity, the fluctuation, intermittence, and randomness of its output aggravate the inertia loss of traditional power systems, which poses severe challenges to grid voltage stability, frequency regulation, and safe operation of equipment. Stability control of PV power stations has become a necessary aspect of technical support for the construction of new power systems (NPSs). In this paper, a technical analysis framework of stability control of photovoltaic power stations is systematically constructed. First, the core stability problems of photovoltaic systems are sorted out. Then, a technical review of the three control levels, namely the equipment, system, and grid, is carried out. At the same time, the application potential of emerging technologies such as data-driven and AI control, digital twin predictive control, and advanced grid-forming (GFM) inverters is described. Based on existing reviews, this paper proposes an equipment–system–grid hierarchical analysis framework and explicitly integrates emerging technologies with classical methods. This framework provides references for the selection, engineering deployment, and future research directions of stability control technologies for photovoltaic power plants, while also offering technical support for the safe and efficient operation of high-penetration renewable energy power grids.

EnergiesVol. 19(2)
Kunming University of Science and Technology (CN), Electric Power Research Institute (US), Guangzhou Electronic Technology (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 5%
Photovoltaic System Optimization Techniques
9.79
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A Critical Review of State-of-the-Art Stability Control of PV Systems: Methodologies, Challenges, and Perspectives — Bo Yang, Deng Wang, et al. · Energies (2026) | TGRS Research Map | TGRS