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• Journal article
  Suski A, Spyrou E, Green R, 2025,
  , IEEE Transactions on Energy Markets, Policy and Regulation, ISSN: 2771-9626

  The ability of deeply decarbonized power systems to ensure adequacy may increasingly depend on long-duration energy storage (LDES). A central challenge is whether capacity markets (CMs), originally designed around thermal generation, can provide efficient investment signals when storage becomes a central participant. While recent studies have advanced methods for accrediting variable renewables and short-duration storage, the effectiveness of these methods in CMs with substantial LDES penetration remains largely unexplored. To address this gap, we extend a two-stage stochastic equilibrium investment model by endogenizing continuous, duration-based capacity accreditation for storage and apply it to a Great Britain-based case using 40 years of weather-driven demand and renewable profiles under varying emission limits. Results show that well-calibrated CMs can sustain near-efficient investment and mitigate revenue volatility, but their effectiveness diminishes in deeply decarbonized systems, underscoring both their potential and the regulatory challenges of supporting large-scale LDES.

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• Conference paper
  Gao J, Chaudhuri B, Astolfi A, 2025,
  , 13th IFAC Symposium on Nonlinear Control Systems, Publisher: Elsevier, Pages: 496-501, 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 this approach 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
  Javaid MS, Chaudhuri B, Teng F, Akhtar Zet al., 2025,

  Impact of inner control in GFM-induced sub-synchronous oscillations

  , 2025 IEEE PES General Meeting, Publisher: IEEE

  n power systems dominated by grid-forming inverters (GFMs), strong grid conditions can lead to sub-synchronous oscillations (SSOs) due to the reduced time-scale separation between GFM control loops and network dynamics, potentially causing instability. Modal analysis reveals that states associated with inner control (comprising current and voltage control loops) and network dynamics are the primary contributors to these oscillatory modes. This paper provides an analytical explanation of adverse interactions between GFM inner control and network dynamics that lead to SSOs. Through damping ratio sensitivity analysis, we establish that increasing the current control closed-loop bandwidth and the voltage control proportional gaincan effectively mitigate these oscillations. The proposed control adjustments also prove effective in larger systems with 100% inverter-based resources penetration, comprising of a mix of both grid-following and grid-forming inverters.

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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
  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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