Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:
Min-zhou Liu;Yan-zhao Xie;Yi-fan Yang;Riccardo Trinchero;Igor S. Stievano;
Pages: 4950 - 4953 Abstract: Efficient probabilistic geomagnetically induced current (GIC) analysis in power grids provides tools for assessing and mitigating small-probability tail risks of geomagnetic disturbances, especially in early warning and real-time scenarios. This letter employs the reduced nodal admittance matrix (RNAM) to speed up GIC calculation based on Kron reduction. Moreover, the proposed RNAM method is used to achieve a more efficient analysis of probabilistic GICs, which considers the uncertainty of the substation grounding resistances. The novel method is compared with the classical algorithms including the nodal admittance matrix method, the Lehtinen-Pirjola method, and the bus admittance matrix method, and its efficiency improvement is illustrated with several power grid test cases. PubDate:
FRI, 26 MAY 2023 10:01:41 -04 Issue No:Vol. 38, No. 5 (2023)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:
Bendong Tan;Junbo Zhao;
Pages: 4954 - 4957 Abstract: System instability does not occur often in practice and thus the historical data for training a machine learning method has to address the imbalanced and multi-modal probabilistic distribution in the probabilistic transient stability assessment (PTSA). This letter proposes a transient stability index (TSI) density-based weighting scheme and feature-TSI similarity regularization to address that, yielding debiased uncertainty quantification for PTSA in the presence of uncertain wind generations and loads. Numerical results on the IEEE 39-bus and Illinois 200-bus power systems demonstrate the significantly improved performance of the proposed method over other state-of-the-art machine learning approaches in PTSA. PubDate:
MON, 15 MAY 2023 10:02:46 -04 Issue No:Vol. 38, No. 5 (2023)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:
Yiming Yao;Chunyan Li;Bo Hu;Kaigui Xie;
Pages: 4958 - 4961 Abstract: The water desalination plants are important infrastructures in the integrated electrical-water system. Currently it lacks accurate and time-efficient model for these plants, which affects the optimality of the integrated electrical-water system operation. This letter proposes an algebraic model to calculate the electricity consumption of the freshwater production efficiently. Results of case study show that the proposed model is highly accurate and time-efficient. The operation cost of the energy systems is significantly reduced with the proposed model. PubDate:
THU, 13 JUL 2023 10:01:37 -04 Issue No:Vol. 38, No. 5 (2023)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:
Laice Neves de Oliveira;Francisco Damasceno Freitas;Nelson Martins;
Pages: 4962 - 4965 Abstract: Based on a modal approach, this letter identifies the primary cause for the ill-conditioning of a Power Flow Problem (PFP) and proposes a method to circumvent this numerical weakness. The technique consists in modifying the ill-conditioned PFP Jacobian matrix for the standard Newton method initial iterate by moving away just its smallest magnitude eigenvalue from near zero. The state deviations for this modified condition is then efficiently computed. This procedure is performed by adding a 1-rank perturbation matrix to the Jacobian matrix, but just for the first iteration and removing it for all others. Experiments performed in two ill-conditioned large-scale systems demonstrate the method's efficiency. PubDate:
THU, 13 JUL 2023 10:01:37 -04 Issue No:Vol. 38, No. 5 (2023)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:
Yifan Su;Feng Liu;Kai Kang;Zhaojian Wang;
Pages: 4966 - 4969 Abstract: The Linearized distribution flow (LinDistFlow) model has been widely utilized in distribution network optimization and control. However, its dense formulation hinders its applications, especially in distributed power flow computation and optimization. This letter reveals the implicit sparsity embedded in the LinDistFlow model, which is corresponding with the radial network topology. It naturally enables an easy and fast distributed algorithm for computing power flow in a forward-backward manner, shedding new light on designing distributed optimization and control of distribution networks. PubDate:
FRI, 30 JUN 2023 10:02:20 -04 Issue No:Vol. 38, No. 5 (2023)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:
Junru Chen;Wenjia Si;Muyang Liu;Federico Milano;
Pages: 4970 - 4973 Abstract: The research on the synchronization stability of Grid-Following Converter (GFL) is of great significance for the stable operation of inverter-based resources. Existing literature mainly focuses the stability factors from the point of view of the converter and assumes the grid to be an infinite-bus with constant frequency. However, faults cause the grid to experience interdependent variations of grid voltage amplitudes and phases, as well as of its frequency. The impact of these variations on the synchronization stability has not been systematically and comprehensively studied yet. Here we study the combined effect on GFL synchronization stability of all these quantities following a large disturbance. The theoretical appraisal shows that phase-angle jump affects the initial perturbance of the GFL while the grid frequency affects the following transient responses and the stability boundary.Simulation results also show that the variation of the frequency with higher RoCoF may be beneficial for the stability of the GFL, and that the effects of the various of the voltage and frequency can be studied separately. PubDate:
THU, 08 JUN 2023 10:02:14 -04 Issue No:Vol. 38, No. 5 (2023)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:
Byungkwon Park;
Pages: 4974 - 4977 Abstract: Recent work has proposed alternatives to avoid the limitations that are inherent in $Y_{bus}$-based formulations for power flow problems. Alternatives based on the Sparse Tableau Formulation (STF) provide conceptual benefits relative to $Y_{bus}$ methods. This letter focuses on specific computational approaches tailored to the features of STF, that allow it to match the computational speed of well-established $Y_{bus}$-based methods. In particular, it presents enhanced Newton Raphson (NR) algorithms exploiting the block LU factorization to improve the computational performance of STF. These methods are compared with the classic $Y_{bus}$-based solution algorithm using several power system test networks. Computational case studies demonstrate the significant computational improvement for the STF-based power flow solution. PubDate:
FRI, 02 JUN 2023 10:02:55 -04 Issue No:Vol. 38, No. 5 (2023)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:
Shimiao Chen;Yao Sun;Xiaochao Hou;Hua Han;Siqi Fu;Mei Su;
Pages: 4978 - 4981 Abstract: This letter addresses the parameters design problem for converter-based virtual synchronous generators (VSGs), which is crucial for stable operation. Existing methods only consider performance optimization based on the small-signal model or qualitative analysis of large-signal stability. However, it remains to be elucidated on how to quantitatively design virtual inertia and damping to ensure transient stability. In this letter, sufficient conditions of VSG control parameters for transient synchronization stability are derived using Lyapunov direct method. Then, a systematic feasible parameters region is obtained that satisfies grid-code-based transient stability and rate-of-change-of-frequency (RoCoF) requirement under large disturbances. As a result, this letter provides a practical reference for control parameters design and engineering application of VSG. Control-hardware-in-the-loop (CHIL) experiment validates the designed control parameters region. PubDate:
THU, 06 JUL 2023 10:02:27 -04 Issue No:Vol. 38, No. 5 (2023)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:
Han Gao;Deyou Yang;Guowei Cai;Zhe Chen;Jin Ma;Lixin Wang;Fangwei Duan;
Pages: 4752 - 4760 Abstract: Reliable and accurate extraction of ambient modes is an essential means of assessing the safety and stability of smart grids. While previous works have mainly concentrated on the introduction of novel identification tools. In this paper, the isolation forest (iForest) was presented to build an intelligent ambient mode extraction scheme with high reliability, which aims at detecting and eliminating abnormal ambient modes from extracted results. As the core technology of the proposed intelligent scheme, iForest exploits the concept of isolation and intends to combine the features of the outliers, which are ‘few’ and ‘different’, with the technique of ensemble learning to isolate them precisely. And the abnormal modes can be eliminated according to their anomaly scores in the proposed intelligent ambient mode extraction scheme. The evaluation of the proposed scheme is carried out through the database constructed by an IEEE 16-generator system and a real power system, the results of which indicate that the proposed scheme is intelligent enough to deal with a large amount of data with high accuracy and improve the reliability of existing identification tools. PubDate:
MON, 05 DEC 2022 10:18:44 -04 Issue No:Vol. 38, No. 5 (2022)
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