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Energies
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Analysis and Control of Power System Stability
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Analysis and Control of Power System Stability

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".

Deadline for manuscript submissions: 24 November 2025 | Viewed by 1318

Special Issue Editors

Dr. Jinpeng Guo

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Guest Editor
School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China
Interests: new energy power system stability monitoring, analysis, and control
Dr. Mingshen Li

E-Mail Website
Guest Editor
Department of Electrical Engineering, Tsinghua University, Beijing 100190, China
Interests: grid forming control; nonlinear control application in power electronics; AC/DC system stability
Dr. Xiaoting Wang

E-Mail Website
Guest Editor
Faculty of Engineering Electrical & Computer Engineering Department, University of Alberta, Edmonton, AB T6G 2R3, Canada
Interests: fast power system stability assessment; data-driven methods and power system resilience; uncertainty quantification

Special Issue Information

Dear Colleagues,

Power system stability is a critical aspect of modern energy systems, ensuring secure and reliable operation under different operating conditions and unexpected disturbances. As the modern power grid is evolving with high penetration of renewable energy sources, advanced control systems, and technologies to integrate distributed energy resources, new challenges arise in maintaining system stability. This Special Issue aims to explore innovative analysis and control methods and emerging technologies that monitor and enhance the stability of modern power systems.

This issue will serve as a platform for researchers to present state-of-the-art solutions addressing various aspects of power system stability, including, but not restricted to, rotor angle stability, voltage stability, and frequency stability. We particularly encourage submissions that address the interdisciplinary nature of this topic, combining perspectives from power engineering, control systems, machine learning, and optimization.

Topics of interest:

  • Integration of renewables and DERs: impact of high renewable energy penetration on system stability.
  • Advanced monitoring and control strategies: wide-area measurement systems (WAMSs) and wide-area control.
  • Emerging trends and technologies: the use of AI and big data analytics in stability assessment, and data-driven and machine learning approaches for stability analysis.

Dr. Jinpeng Guo
Dr. Mingshen Li
Dr. Xiaoting Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • renewable power system
  • stability analysis
  • stability control
  • stability monitoring

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Published Papers (3 papers)

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Research

16 pages, 487 KiB  
Article
Optimal Synchronous Condenser Placement in Renewable Energy Bases to Meet Renewable Energy Transfer Capacity Requirements
by Hao Sheng, Siqi Zhang, Tianqi Zhao, Jing Hao, Qi Li, Guangming Xin, Rui Chen, Xiaofei Wang and Xiang Ren
Energies 2025, 18(16), 4267; https://doi.org/10.3390/en18164267 - 11 Aug 2025
Viewed by 312
Abstract
The large-scale integration of renewable energy and the high penetration of power electronic devices have led to a significant reduction in system inertia and short-circuit capacity. This is particularly manifested in the form of insufficient multiple renewable energy stations short-circuit ratio (MRSCR) and [...] Read more.
The large-scale integration of renewable energy and the high penetration of power electronic devices have led to a significant reduction in system inertia and short-circuit capacity. This is particularly manifested in the form of insufficient multiple renewable energy stations short-circuit ratio (MRSCR) and transient overvoltage issues following severe disturbances such as AC and DC faults, which greatly limit the power transfer capability of large renewable energy bases. To effectively mitigate these challenges, this paper proposes an optimal synchronous condenser deployment method tailored for large-scale renewable energy bases. The proposed mathematical model supports a hybrid centralized and distributed configuration of synchronous condensers with various capacities and manufacturers while considering practical engineering constraints such as short-circuit ratio, transient overvoltage, and available bays in renewable energy stations. A practical decomposition and iterative computation strategy is introduced to reduce the computational burden of transient stability simulations. Case studies based on a real-world system verify the effectiveness of the proposed method in determining the optimal configuration of synchronous condensers. The results demonstrate significant improvements in grid strength (MRSCR) and suppression of transient overvoltages, thereby enhancing the stability and transfer capability of renewable energy bases in weak-grid environments. Full article
(This article belongs to the Special Issue Analysis and Control of Power System Stability)
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33 pages, 5164 KiB  
Article
Flexibility Resource Planning and Stability Optimization Methods for Power Systems with High Penetration of Renewable Energy
by Haiteng Han, Xiangchen Jiang, Yang Cao, Xuanyao Luo, Sheng Liu and Bei Yang
Energies 2025, 18(15), 4139; https://doi.org/10.3390/en18154139 - 4 Aug 2025
Viewed by 426
Abstract
With the accelerating global transition toward sustainable energy systems, power grids with a high share of renewable energy face increasing challenges due to volatility and uncertainty, necessitating advanced flexibility resource planning and stability optimization strategies. This paper presents a comprehensive distribution network planning [...] Read more.
With the accelerating global transition toward sustainable energy systems, power grids with a high share of renewable energy face increasing challenges due to volatility and uncertainty, necessitating advanced flexibility resource planning and stability optimization strategies. This paper presents a comprehensive distribution network planning framework that coordinates and integrates multiple types of flexibility resources through joint optimization and network reconfiguration to enhance system adaptability and operational resilience. A novel virtual network coupling modeling approach is proposed to address topological constraints during network reconfiguration, ensuring radial operation while allowing rapid topology adjustments to isolate faults and restore power supply. Furthermore, to mitigate the uncertainty and fault risks associated with extreme weather events, a CVaR-based risk quantification framework is incorporated into a bi-level optimization model, effectively balancing investment costs and operational risks under uncertainty. In this model, the upper-level planning stage optimizes the siting and sizing of flexibility resources, while the lower-level operational stage coordinates real-time dispatch strategies through demand response, energy storage operation, and dynamic network reconfiguration. Finally, a hybrid SA-PSO algorithm combined with conic programming is employed to enhance computational efficiency while ensuring high solution quality for practical system scales. Case study analyses demonstrate that, compared to single-resource configurations, the proposed coordinated planning of multiple flexibility resources can significantly reduce the total system cost and markedly improve system resilience under fault conditions. Full article
(This article belongs to the Special Issue Analysis and Control of Power System Stability)
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23 pages, 3940 KiB  
Article
Recovery Strategies for Combined Optical Storage Systems Based on System Short-Circuit Ratio (SCR) Thresholds
by Qingji Yang, Baohong Li, Qin Jiang and Qiao Peng
Energies 2025, 18(15), 4112; https://doi.org/10.3390/en18154112 - 3 Aug 2025
Viewed by 297
Abstract
The penetration rate of variable energy sources in the current power grid is increasing, with the aim being to expand the use of these energy sources and to replace the traditional black start power supply. This study investigates the black start of a [...] Read more.
The penetration rate of variable energy sources in the current power grid is increasing, with the aim being to expand the use of these energy sources and to replace the traditional black start power supply. This study investigates the black start of a photovoltaic storage joint system based on the system’s short-circuit ratio threshold. Firstly, the principles and control modes of the photovoltaic (PV) system, energy storage system (ESS), and high-voltage direct current (DC) transmission system are studied separately to build an overall model; secondly, computational determinations of the short-circuit ratio under different scenarios are introduced to analyze the strength of the system, and the virtual inertia and virtual damping of the PV system are configured based on this; finally, the change trend of the storage system’s state of charge (SOC) is computed and observed, and the limits of what the system can support in each stage are determined. An electromagnetic transient simulation model of a black start system is constructed in PSCAD/EMTDC, and according to the proposed recovery strategy, the system frequency is maintained in the range of 49.4~50.6 Hz during the entire black start process; the fluctuation in maximum frequency after the recovery of the DC transmission system is no more than 0.1%; and the fluctuation in photovoltaic power at each stage is less than 3%. In addition, all the key indexes meet the requirements for black start technology, which verifies the validity of the strategy and provides theoretical support and a practical reference for the black start of a grid with variable energy sources. Full article
(This article belongs to the Special Issue Analysis and Control of Power System Stability)
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