Adaptive relay co-ordination using a busbar splitting approach for a system integrity protection scheme

Saikrishna, Rajesh; Rajalwal, Nilesh Kumar; Ghosh, Debomita

doi:10.1186/s41601-022-00235-0

Cited by 6 publications

(3 citation statements)

References 30 publications

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“…The data of voltage series and current series are normalized. Normalization can accurately reflect the relationship between data of different dimensions, prevent small data from being flooded by big data, and effectively improve the accuracy and convergence speed of the model [15]. The min-max method is used for data normalization, and the specific method is shown in Eq.…”

Section: Data Preprocessingmentioning

confidence: 99%

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Operation Control Method of Relay Protection in Flexible DC Distribution Network Compatible with Distributed Power Supply

2023

Energy Engineering

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A novel operation control method for relay protection in flexible DC distribution networks with distributed power supply is proposed to address the issue of inaccurate fault location during relay protection, leading to poor performance. The method combines a fault-tolerant fault location method based on long-term and short-term memory networks to accurately locate the fault section. Then, an operation control method for relay protection based on adaptive weight and whale optimization algorithm (WOA) is used to construct an objective function considering the shortest relay protection action time and the smallest impulse current. The adaptive weight and WOA are employed to obtain the optimal strategy for relay protection operation control, reducing the action time and impulse current. Experimental results demonstrate the effectiveness of the proposed method in accurately locating faults and improving relay protection performance. The longest operation time is reduced by 4.7023 s, and the maximum impulse current is limited to 0.3 A, effectively controlling the impact of large impulse currents and enhancing control efficiency.

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Section: Data Preprocessingmentioning

confidence: 99%

“…The nonlinear weights 1 and 2 are introduced into Eqs. ( 14) to (15) to improve the process of surrounding prey, bubble attack and searching prey, and the following results are obtained:…”

Section: Whale Optimization Algorithm (Woa) Is a New Heuristic Optimi...mentioning

confidence: 99%

Operation Control Method of Relay Protection in Flexible DC Distribution Network Compatible with Distributed Power Supply

2023

Energy Engineering

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“…Since the data-driven methods of process monitoring rely only on the historic process data and do not assume any form of model information, they have been paid more attention [28][29][30]. The SOH prediction of LIBs using machine learning methods usually requires a large amount of historical data for preprocessing [31][32][33].…”

Section: Gap Analysis and Original Contributionsmentioning

confidence: 99%

Electrochemical Impedance Spectroscopy Based on the State of Health Estimation for Lithium-Ion Batteries

Yang

et al. 2022

Energies

102

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The state of health (SOH) is critical to the efficient and reliable use of lithium-ion batteries (LIBs). Recently, the SOH estimation method based on electrochemical impedance spectroscopy (EIS) has been proven effective. In response to different practical applications, two models for SOH estimation are proposed in this paper. Aiming at based on the equivalent circuit model (ECM) method, a variety of ECMs are proposed. Used EIS to predict the ECM, the results show that the improved method ensures the correctness of the ECM and improves the estimation results of SOH. Aiming at a data-driven algorithm, proposes a convolution neural network (CNN) to process EIS data which can not only extract the key points but also simplifies the complexity of manual feature extraction. The bidirectional long short-term memory (BiLSTM) model was used for serial regression prediction. Moreover, the improved Particle Swarm Optimization (IPSO) algorithm is proposed to optimize the model. Comparing the improved model (IPSO-CNN-BiLSTM) with the traditional PSO-CNN-BiLSTM, CNN-BiLSTM and LSTM models, the prediction results are improved by 13.6%, 93.75% and 94.8%, respectively. Besides that, the two proposed methods are 27% and 35% better than the existing gaussion process regression (GPR) model, which indicates that the proposed improved methods are more flexible for SOH estimation with higher precision.

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A System Integrity Protection Scheme for Supervising Higher Operating Zones of Distance Relay Under Large Wind Power Integration

Rajalwal,

Ghosh

2024

J. Electr. Eng. Technol.

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Adaptive relay co-ordination using a busbar splitting approach for a system integrity protection scheme

Cited by 6 publications

References 30 publications

Operation Control Method of Relay Protection in Flexible DC Distribution Network Compatible with Distributed Power Supply

Operation Control Method of Relay Protection in Flexible DC Distribution Network Compatible with Distributed Power Supply

Electrochemical Impedance Spectroscopy Based on the State of Health Estimation for Lithium-Ion Batteries

A System Integrity Protection Scheme for Supervising Higher Operating Zones of Distance Relay Under Large Wind Power Integration

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