Journal: IEEE Transactions on Power Systems

Abbreviation

IEEE Trans. Power Syst.

Publisher

IEEE

Journal Volumes

ISSN

0885-8950
1558-0679

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Publications 1 - 10 of 114
  • Steady-state optimization in power systems with series FACTS devices
    Item type: Journal Article
    Orfanogianni, Tina; Bacher, Rainer (2003)
    IEEE Transactions on Power Systems
  • Common-Mode Frequency in Converter-Integrated Power Systems: Definition, Analysis, and Quantitative Evaluation
    Item type: Journal Article
    Gao, Huisheng; Xin, Huanhai; Huang, Linbin; et al. (2022)
    IEEE Transactions on Power Systems
    As synchronous generators (SGs) are extensively replaced by converter-based generators (CBGs), modern power systems are facing complicated frequency stability problems. Conventionally, the frequency nadir and the rate of change of frequency (RoCoF) are the two main factors concerned by power system operators. However, these two factors heavily rely on simulations or experiments, especially in a power system with high-penetration CBGs, which offer limited theoretical insight into how the frequency response characteristics are affected by the devices. This paper aims at filling this gap. Firstly, we derive a formulation of the global frequency for a CBG-integrated power system, referred to as common-mode frequency (CMF). The derived CMF is demonstrated to be more accurate than existing frequency definitions, e.g., the average system frequency (ASF). Then, a unified transfer function structure (UTFS) is proposed to approximate the frequency responses of different types of devices by focusing on three key parameters, which dramatically reduces the complexity of frequency analysis. On this basis, we introduce two evaluation indices, i.e., frequency drop depth coefficient (FDDC) and frequency drop slope coefficient (FDSC), to theoretically quantify the frequency nadir and the average RoCoF, respectively. Instead of relying on simulations or experiments, our method rigorously links the system's frequency characteristics to the characteristics of heterogeneous devices, which enables an in-depth understanding regarding how devices affect the system frequency. Finally, the proposed indices are verified through simulations on a modified IEEE 39-bus test system.
  • Setting Reserve Requirements to Approximate the Efficiency of the Stochastic Dispatch
    Item type: Journal Article
    Dvorkin, Vladimir, Jr.; Delikaraoglou, Stefanos; Morales, Juan M. (2019)
    IEEE Transactions on Power Systems
  • Multiple Joint Chance Constraints Approximation for Uncertainty Modeling in Dispatch Problems
    Item type: Journal Article
    Wen, Yilin; Guo, Yi; Hu, Zechun; et al. (2025)
    IEEE Transactions on Power Systems
    Uncertainty modeling has become increasingly important in power system decision-making. The widely-used tractable uncertainty modeling method-chance constraints with Conditional Value at Risk (CVaR) approximation, can be over-conservative and even turn an originally feasible problem into an infeasible one. This paper proposes a new approximation method for multiple joint chance constraints (JCCs) to model the uncertainty in dispatch problems, which solves the conservativeness and potential infeasibility concerns of CVaR. The proposed method is also convenient for controlling the risk levels of different JCCs, which is necessary for power system applications since different resources may be affected by varying degrees of uncertainty or have different importance to the system. We then formulate a data-driven distributionally robust chance-constrained programming model for the power system multiperiod dispatch problem and leverage the proposed approximation method to solve it. In the numerical simulations, two illustrative examples clearly demonstrate the superiority of the proposed method, and the results of the multiperiod dispatch on IEEE test cases verify its practicality.
  • Online Feedback Droop Scheduling in Distribution Grids for Frequency and Local Voltage Control
    Item type: Journal Article
    Stanojev, Ognjen; Guo, Yi; Hug, Gabriela (2025)
    IEEE Transactions on Power Systems
    This paper presents a novel framework for collective control of Distributed Energy Resources (DERs) in active Distribution Networks (DNs). The proposed approach unifies commonly employed local (i.e., decentralized) voltage and frequency droop control schemes into a transfer matrix relating frequency and voltage magnitude measurements to active and reactive power injection adjustments. Furthermore, the transfer matrices of individual DER units are adaptively tuned in real-time via slow communication links using a novel online gain scheduling approach to enable primary frequency support provision to the transmission system and ensure that the DN voltages are kept within the allowable limits. A global asymptomatic stability condition of the analyzed droop-controlled DN is analytically established. The considered gain scheduling problem is solved by leveraging an online primal-dual gradient-based method and a suitable linearized power flow model. Additional ancillary service providers can be trivially incorporated into the proposed framework in a plug-and-play fashion. Numerical simulations of the 37-bus IEEE test system and a realistic Swedish 533-bus DN confirm the validity and the scalability of the approach and demonstrate numerous advantages of the proposed scheme over the state-of-the-art.
  • Optimal Power Flow of Multiple Energy Carriers
    Item type: Journal Article
    Geidl, Martin; Andersson, Göran (2007)
    IEEE Transactions on Power Systems
  • Stochastic Hybrid Approximation for Uncertainty Management in Gas-Electric Systems
    Item type: Journal Article
    O'Malley, Conor; Hug, Gabriela; Roald, Line (2022)
    IEEE Transactions on Power Systems
    Gas-fired generators, with their ability to ramp their electricity production, play an important role in managing renewable energy variability. However, these changes in electricity production translate into variability in the consumption of natural gas, and propagation of uncertainty from the electric grid to the natural gas system. To ensure that both systems are operating safely, there is an increasing need for coordination and uncertainty management among the electricity and gas networks. A challenging aspect of this coordination is the consideration of natural gas dynamics, which play an important role, but give rise to a set of non-linear and non-convex equations that are hard to optimize even in the deterministic case. Ideally, the problem is formulated as a stochastic problem but many conventional methods for stochastic optimization cannot be used because they either incorporate a large number of scenarios directly or require the underlying problem to be convex. To address these challenges, we propose using a Stochastic Hybrid Approximation algorithm to more efficiently solve these problems and investigate several different variants of this algorithm. In a case study, we demonstrate that the proposed technique is able to quickly obtain high-quality solutions and outperforms existing benchmarks such as Generalized Benders Decomposition.
  • Dynamic Reserve and Transmission Capacity Allocation in Wind-Dominated Power Systems
    Item type: Journal Article
    Viafora, Nicola; Delikaraoglou, Stefanos; Pinson, Pierre; et al. (2021)
    IEEE Transactions on Power Systems
    The large shares of wind power generation in electricity markets motivate higher levels of operating reserves. However, current reserve sizing practices fail to account for important topological aspects that might hinder their deployment, thus resulting in high operating costs. Zonal reserve procurement mitigates such inefficiencies, however, the way the zones are defined is still open to interpretation. This paper challenges the efficiency of predetermined zonal setups that neglect the location of stochastic power production in the system, as well as the availability, cost and accessibility of flexible generating units. To this end, we propose a novel reserve procurement approach, formulated as a two-stage stochastic bilevel model, in which the upper level identifies a number of contiguous reserve zones using dynamic grid partitioning and sets zonal requirements based on the total expected operating costs. Using two standard IEEE reliability test cases, we show how the efficient partitioning of reserve zones can reduce expected system cost and promote the integration of stochastic renewables.
  • Towards the next generation of multiperiod optimal power flow solvers
    Item type: Journal Article
    Kourounis, Drosos; Fuchs, Alexander; Schenk, Olaf (2018)
    IEEE Transactions on Power Systems
  • Chance-Constrained OPF: A Distributed Method With Confidentiality Preservation
    Item type: Journal Article
    Jia, Mengshuo; Hug, Gabriela; Su, Yifan; et al. (2023)
    IEEE Transactions on Power Systems
    This paper focuses on the global chance-constrained optimal power flow problem of a multi-regional interconnected grid. In this global problem, however, multiple regional independent system operators (ISOs) participate in the decision-making process, raising the need for distributed but coordinated approaches. Most notably, due to the regulation and security concerns, regional ISOs may refuse to share confidential information with others, including generation cost, load data, system topologies, and line parameters. Accordingly, this paper proposes a distributed CC-OPF method with strict confidentiality preservation, which theoretically enables regional ISOs to determine the exact global optimal dispatchable generations within their regions without disclosing confidential data. The proposed method neither requires parameter tunings nor has convergence issues. Results from a number of test cases show that the proposed method has considerably high accuracy, regardless of the system size, load level, and amount of regions, thereby outperforming the state-of-the-art obfuscation approaches.
Publications 1 - 10 of 114