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• Conference paper
  Javaid M, Chaudhuri B, Teng F, Akhtar Zet al., 2025,

  A novel tuning method of grid-forming inverter voltage control

  , IEEE PowerTech 2025, Publisher: IEEE

  Grid-forming inverters (GFMs) may experience instabilityin strong grids, often resulting from voltage controlinterference, particularly when multiple voltage sources are electrically close. This issue is further exacerbated when control gains are obtained under avoidable assumptions. A temporary solution is to retune control gain, yet it yields suboptimal performance. To address this, we propose a novel tuning technique for GFM control that employs a concurrent design approach for d and q axes voltage control. The proposed method also incorporates the dynamics of an equivalent grid model in the design process. The required design specifications are translated into weighting functions, formulating the H∞ minimization problem for optimal tuning. The proposed tuning method is compared against direct synthesis and symmetrical optimum methods. The comparison reveals the advantages of the proposed method in mitigating the impact of grid strength. Their performance is evaluated on 9-bus and 11-bus test systems. It is shown that the proposed approach achieves higher control bandwidth and improved stability margins compared to conventional designs.

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• Journal article
  Ochoa T, Serpell C, Valle C, Gil Eet al., 2025,
  , EXPERT SYSTEMS WITH APPLICATIONS, Vol: 284, ISSN: 0957-4174
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  • Citations: 3
• Journal article
  Javaid MS, Chaudhuri B, Teng F, Akhtar Zet al., 2025,
  , IEEE Transactions on Power Systems, ISSN: 0885-8950

  Low-frequency electromechanical oscillations (<2Hz) are time-separated from faster network dynamics, allowing network dynamics to be safely neglected in positive-sequence RMS (RMS+) studies. However, with increasing shares of inverter-based resources (IBRs), sub-synchronous oscillations (SSOs) occur at higher frequencies (>5 Hz) within the electromagnetic timescales. The shift challenges using RMS+ tools for planning IBR-dominated grids, as the time-scale separation is no longer as distinct as in synchronous machine-based systems. This paper demonstrates that relying on RMS+ studies in high-IBRscenarios can lead to erroneous conclusions about SSO, including a false assurance of stability. We explain how the interaction between IBR control and network dynamics affect the damping of SSO. This highlights the need for EMT-dq with network dynamics in a synchronously rotating reference frame as a middle ground between EMT-abc (point-on-wave) and RMS+ for studying IBR-drivenSSO. EMT-dq is computationally simpler than EMTabcand allows frequency-domain analysis for deeper insightand effective SSO mitigation. This emphasizes the necessity of established (rather than bespoke) EMT-dq tools to quickly screen SSO-prone scenarios for detailed investigation in EMT-abc.

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• Conference paper
  Tekcan E, Spyrou E, 2025,

  BMViewGB: an interactive web based tool for visualising the operations of the balancing mechanism in Great Britain

  , 24th Wind & Solar Integration Workshop, Publisher: IET, ISSN: 2732-4494

  The Balancing Mechanism (BM) is the main tool for keeping electricity supply and demand balanced in Great Britain, while respecting network constraints. Between April 2022 and March 2025, its costs were £2–3 billion per year, prompting participants to call for more efficient dispatch and greater transparency. To help meet these needs, the article presents BMViewGB, an open-source, map-based visualisation tool that displays the spatial distribution of BM costs and volumes. The straightforward map layout is designed for users with varied professional backgrounds and can also act as a foundation for further research, such as the development of digital simulators of the Balancing Mechanism.

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• Journal article
  Maity A, Brahma D, Senroy N, 2025,
  , ELECTRIC POWER SYSTEMS RESEARCH, Vol: 244, ISSN: 0378-7796
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• Journal article
  Pandey SR, Pinson P, Popovski P, 2025,
  , IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol: 36, Pages: 10580-10591, ISSN: 2162-237X
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• Conference paper
  Gao J, Chaudhuri B, Astolfi A, 2025,

  Enhanced transient stabilization with damping assignment

  , 13th IFAC Symposium on Nonlinear Control Systems, Publisher: Elsevier, ISSN: 2405-8963

  The paper proposes an analytical nonlinear control approach for enhancing the transient performance of lossy multi-machine power systems. The prominent feature of thisapproach lies in the inclusion of damping assignment, whereby the oscillation of the power system frequency is dampened out more effectively. In this regard, the proposed control approach is said to achieve enhanced transient stabilization, which is desirable in practical applications.A case study demonstrates the enhanced performance of the proposed control approach over existing nonlinear control approaches.

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• Conference paper
  Brahma D, O'Malley M, Chaudhuri B, Bialek J, Gu Y, Green Tet al., 2025,
  , 23rd Wind & Solar Integration Workshop (WIW 2024), Publisher: The Institution of Engineering and Technology (IET), Pages: 1130-1137, ISSN: 2732-4494

  Inverter-based resources (IBRs) are pivotal in modern power systems to meet the net-zero carbon targets. The rapid integration of IBRs such as solar photovoltaics, wind turbines, and battery storage has introduced complex dynamic behaviours that challenge conventional power system stability paradigms. Unlike traditional synchronous generators, which are governed by standardized, physics-based models, IBRs are control-defined and feature vendor-specific models that operate across multiple overlapping time scales. This results in unique dynamic interactions in IBR-dominated grids with multiple causalities, giving rise to oscillatory phenomena not previously encountered. This paper provides a review of IBR-driven oscillations, emphasizing on their classification and current research efforts in oscillation tracing and mitigation. Two classification framework based on time-scale separation and causality, are explored to categorize IBR-induced oscillations, highlighting the challenges in the categorization process. The critical role of data, tools and methods for tracing oscillations is discussed, and current mitigation measures are outlined in the context of IBR-dominated system. Additionally, some open research questions related to the evolving landscape of IBR-induced oscillatory phenomena are discussed.

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• Journal article
  Spyrou E, Zhang Q, Hytowitz R, Hobbs BF, Tyagi S, Cai Met al., 2025,
  , IEEE Transactions on Energy Markets, Policy and Regulation, ISSN: 2771-9626

  The presence of variable renewable energy resources with uncertain outputs in day-ahead electricity markets results in additional balancing needs in real-time. Addressing those needs cost-effectively and reliably within a competitive market with unbundled products is challenging as both the demand for and the availability of flexibility depends on day-ahead energy schedules. Existing approaches for reserve procurement usually rely either on oversimplified demand curves that do not consider how system conditions that particular day affect the value of flexibility, or on bilateral trading of hedging instruments that are not co-optimized with day-ahead schedules. This article proposes a new product, ‘Flexibility Options’, to address these two limitations. The demand for this product is endogenously determined in the day-ahead market and it is met cost-effectively by considering real-time supply curves for product providers, which are co-optimized with the energy supply. As we illustrate with numerical examples and mathematical analysis, the product addresses the hedging needs of participants with imbalances cost-effectively, provides a less intermittent revenue stream for participants with flexible outputs, promotes value-driven pricing of flexibility, and ensures that the system operator is revenue-neutral. This article provides a comprehensive design that can be further tested and applied in large-scale systems.

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• Journal article
  Liang X, Li Q, Ilic M, Bialek J, Zhou M, Vu TL, Huang Qet al., 2025,
  , IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, Vol: 61, Pages: 2349-2352, ISSN: 0093-9994
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