IEEE Transactions on Industry Applications最新文献_第9页

Transfer Learning Framework for Impedance Characterization of Modular Multilevel Converters 模块化多电平变换器阻抗特性的迁移学习框架

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-14 DOI: 10.1109/TIA.2025.3529826

Rahul Rane;Azadeh Kermansaravi;Pedro P. Vergara;Aleksandra Lekić

{"title":"Transfer Learning Framework for Impedance Characterization of Modular Multilevel Converters","authors":"Rahul Rane;Azadeh Kermansaravi;Pedro P. Vergara;Aleksandra Lekić","doi":"10.1109/TIA.2025.3529826","DOIUrl":"https://doi.org/10.1109/TIA.2025.3529826","url":null,"abstract":"The widespread use of modular multilevel converters (MMCs) in the evolution of complex power grids presents new challenges for grid stability. MMCs have highly nonlinear impedance characteristics due to their complex internal dynamics and intricate control architectures. Due to practical constraints, physics-based models cannot accurately compute these impedances, and the use of closed-box measurement techniques is time-consuming, resulting in a limited amount of data available for impedance characterization. Thus, using current methods to estimate impedances over a wide range of operating points can be unreliable. This paper presents a transfer learning-based framework for MMC impedance characterization using system-level parameters as operating point variables. The proposed approach predicts both AC and DC side impedances simultaneously by extrapolating impedances derived using state-space modeling approaches to real-time electromagnetic transient (EMT) simulations. Finally, the method is evaluated on a practical converter from the CIGRE B4 DC grid test system for various types of controllers and scenarios involving unknown parameters.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"2421-2433"},"PeriodicalIF":4.2,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Control and Stability Analysis of Grid-Connected Inverters in an Unbalanced and Distorted Weak Grid Using MDSOGI Based Selective Virtual Impedance 基于MDSOGI的选择性虚阻抗在不平衡和畸变弱电网中并网逆变器控制与稳定性分析

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-14 DOI: 10.1109/TIA.2025.3529630

Mehmet Emin Akdogan;Deepak Ramasubramanian;Sara Ahmed

{"title":"Control and Stability Analysis of Grid-Connected Inverters in an Unbalanced and Distorted Weak Grid Using MDSOGI Based Selective Virtual Impedance","authors":"Mehmet Emin Akdogan;Deepak Ramasubramanian;Sara Ahmed","doi":"10.1109/TIA.2025.3529630","DOIUrl":"https://doi.org/10.1109/TIA.2025.3529630","url":null,"abstract":"Increasing the penetration of grid-connected inverters and integration of single-phase microgrids (MG) and unbalanced loads into three-phase MGs result in power quality issues such as voltage harmonics and unbalance at the point of common coupling (PCC) under nonideal grid conditions. The grid impedance also increases in a weak grid and influences the system's stability. This paper proposes a novel PCC voltage feed-forward control method using selective virtual impedance loops (SVIL) based on multiple dual second-order generalized integrators (MDSOGI) for unbalanced MGs in distorted weak grids. The comprehensive development of the proposed SVIL including virtual positive/negative-sequence impedance (VPI/VNI) loops at the fundamental frequency and a virtual variable harmonic impedance (VVHI) loop at harmonic frequencies is presented. VPI and VVHI improve low-order voltage harmonics while VNI regulates the unbalanced voltage at the PCC terminal. In addition, the system stability with the proposed control is evaluated. The effectiveness of the proposed approach is validated using control hardware-in-the-loop (CHIL) for an unbalanced MG in distorted and weak grid, demonstrating improved power quality and better performance compared to existing methods.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"2182-2192"},"PeriodicalIF":4.2,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Phasor-Based Identification of CVT Ferroresonance With Divergent Density Distribution of Intrinsic Modes 基于相量的本征模态密度分布发散的CVT铁磁共振辨识

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-14 DOI: 10.1109/TIA.2025.3529800

Shaily Singh;Ravi Yadav;Ashok Kumar Pradhan

{"title":"Phasor-Based Identification of CVT Ferroresonance With Divergent Density Distribution of Intrinsic Modes","authors":"Shaily Singh;Ravi Yadav;Ashok Kumar Pradhan","doi":"10.1109/TIA.2025.3529800","DOIUrl":"https://doi.org/10.1109/TIA.2025.3529800","url":null,"abstract":"Theincreased operational stresses and the aging effect have increased the instances of device malfunctions and failures in the grid. The malfunction/ failure of critical devices such as instrument transformers, breakers, etc cause unwanted supply disruptions and composite system outages. These device-level malfunctions produce unique dynamic signatures, which can be detected/segregated at phasor measurement units (PMUs) using localized data analytics with low processing delays. This work focuses on the detection and identification of ferroresonance (FR) type failures in capacitive voltage transformers (CVTs) in high-voltage transmission systems at the PMU level. For this, firstly the effect of CVT-FR on phasor measurements through frequency response characterization and sensitivity analysis is observed. Thereafter, a divergent density estimation supported intrinsic mode function method is proposed to distinguish FR events from system-level disturbances like faults, generation loss, etc., in the phasor measurements. The divergent density estimation captures the statistical distribution of intrinsic mode functions (IMFs) under perturbation and acquires unique mode signatures corresponding to FR. IMFs are obtained by applying empirical mode decomposition on the raw phasor trends. The proposed method is tested with simulated cases for different CVT models in Matlab/Simulink and real system data in the Eastern region of the India grid.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"2835-2845"},"PeriodicalIF":4.2,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of the Floating Capacitor Voltage on the Torque-Speed Characteristic of an Open-End Winding Synchronous Reluctance Motor Drive 浮电容电压对开放式绕组同步磁阻电机驱动转矩-转速特性的影响

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-14 DOI: 10.1109/TIA.2025.3528879

Jacopo Riccio;Filippo Gemma;Luca Rovere;Giulia Tresca;Mauro Di Nardo;Shafiq Odhano;Michele Degano;Pericle Zanchetta

{"title":"Effects of the Floating Capacitor Voltage on the Torque-Speed Characteristic of an Open-End Winding Synchronous Reluctance Motor Drive","authors":"Jacopo Riccio;Filippo Gemma;Luca Rovere;Giulia Tresca;Mauro Di Nardo;Shafiq Odhano;Michele Degano;Pericle Zanchetta","doi":"10.1109/TIA.2025.3528879","DOIUrl":"https://doi.org/10.1109/TIA.2025.3528879","url":null,"abstract":"This manuscript investigates the torque-speed characteristics of a synchronous reluctance motor drive with an open-end winding (OEW) configuration. The machine is powered by standard two-level voltage source inverters (VSI), one supplied by a DC power source while the other connected to a floating capacitor (FC). The analysis considers the flux maps of a synchronous reluctance motor identified through experiments to account for the effect of the self-and cross-saturation phenomenon. The study reveals that the dual-inverter (DI) configuration with a FC can significantly extend the constant torque speed range and achieve unity power factor. In addition, the analysis demonstrates that the torque in the constant power speed range can be noticeably increased compared to the standard single-inverter (SI) configuration. With the full model of the OEW drive plant, the FC voltage can be purposefully selected to modify the drive torque speed characteristic to benefit the specific application. The advantages of the investigated synchronous drive architecture have been experimentally validated in different operating conditions with a purposely built set-up.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"3269-3278"},"PeriodicalIF":4.2,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143808933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Probabilistic Feasible Region Characterization of Active Distribution Networks Driven by Data-Model Fusion 数据模型融合驱动的有源配电网概率可行域表征

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-14 DOI: 10.1109/TIA.2025.3529796

Anni Hu;Gengyin Li;Tiance Zhang;Ming Zhou;Jianxiao Wang

{"title":"Probabilistic Feasible Region Characterization of Active Distribution Networks Driven by Data-Model Fusion","authors":"Anni Hu;Gengyin Li;Tiance Zhang;Ming Zhou;Jianxiao Wang","doi":"10.1109/TIA.2025.3529796","DOIUrl":"https://doi.org/10.1109/TIA.2025.3529796","url":null,"abstract":"With the large-scale intergration of distributed energy resources (DERs) into distribution networks, the traditional paradigm of regarding the distribution networks as a static parameter load has become increasingly obsolete. However, this shift has highlighted the necessity of characterizing the equivalent model of active distribution network (ADN) amidst profound uncertainty. Therefore, the concept of probabilistic feasible region (PFR) considering the stochastic characteristics and temporal-coupling characteristics of DERs is proposed in this paper, enabling ADN to provide equivalent models with different confidence levels for power system operators (PSOs). Based on chance constraints programming and feasible region projection theory, we theoretically derive the characterization method of PFR, which can be characterized as a constraint set formed by the extreme points of the dual space of the ADN optimization model under different confidence interval. To overcome the inefficiency of analytical methods, an intelligent method driven by data-model fusion is proposed to accurately and efficiently characterize PFR. Furthermore, a fused neural network algorithm is employed to map the relationship between operational data and security constraints, and the loss function is improved according to the results of the theoretical algorithms to correct the model, which avoids the problem of violating security constraints due to overgeneralization. Case studies based on a modified IEEE 33-bus distribution system validate the effectiveness and computational efficiency of the proposed method.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"2791-2802"},"PeriodicalIF":4.2,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Synthesis of Low-Voltage Minimum Switch-Count DC Bus Second-Harmonic Hybrid Filters 低压最小开关计数直流母线二次谐波混合滤波器的合成

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-14 DOI: 10.1109/TIA.2025.3529809

Anwesha Mukhopadhyay;Vinod John

{"title":"Synthesis of Low-Voltage Minimum Switch-Count DC Bus Second-Harmonic Hybrid Filters","authors":"Anwesha Mukhopadhyay;Vinod John","doi":"10.1109/TIA.2025.3529809","DOIUrl":"https://doi.org/10.1109/TIA.2025.3529809","url":null,"abstract":"Active Power Decoupling (APD) has emerged as an attractive technique to eliminate large DC bus filter capacitors in single-phase power conversion. For space-constrained circuits with reliable operation, DC capacitor elimination is an advantage as long as the added component count, rating, and control complexities do not outweigh the benefits. The present work focuses on adding a minimum number of active components of low voltage ratings to alleviate bulk DC bus filter capacitors from single-phase power converters. Thus, the driving circuits and control efforts also get proportionally scaled down while yielding the benefits of bulk capacitor reduction. Apart from the minimum component count, the use of low-voltage devices ensures reduced switching and conduction losses, improving the active filter efficiency. A generalized topology synthesis framework is presented that yields a family of low voltage, minimum switch-count APD filter derivatives with identical operational objectives. The control and operational trade-offs of the derived filter topologies are compared and a design-oriented ripple analysis is performed to maximize capacitor utilization. The significant attributes of the derived filters are compared with the state-of-the-art active and hybrid filters. The operations of the synthesized three unique topologies are experimentally validated using laboratory hardware at a 500 W power level. Above 90% reduction in the DC bus second-harmonic ripple is achieved by the action of the proposed filters. With the proposed control, the boost-based SC-BOHF topology exhibits better filtering performance than SC-BUHF and SC-BBHF.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"3279-3292"},"PeriodicalIF":4.2,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143808928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Physics Informed Data-Driven Oscillation Stabilization Strategy for Renewable-Dominant Power Systems Based on Koopman Operator 基于Koopman算子的可再生电力系统振荡稳定策略

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-14 DOI: 10.1109/TIA.2025.3529806

Zihan Wang;Gengyin Li;Ziyang Huang;Xiaonan Zhang;Yanhui Xu;Le Zheng

{"title":"Physics Informed Data-Driven Oscillation Stabilization Strategy for Renewable-Dominant Power Systems Based on Koopman Operator","authors":"Zihan Wang;Gengyin Li;Ziyang Huang;Xiaonan Zhang;Yanhui Xu;Le Zheng","doi":"10.1109/TIA.2025.3529806","DOIUrl":"https://doi.org/10.1109/TIA.2025.3529806","url":null,"abstract":"With the high penetration of volatile renewable energy generations (REGs), oscillations have emerged frequently worldwide. Unlike the low-frequency oscillations in conventional power systems, oscillations in renewable-dominant power systems exhibit higher frequencies, involve more nonlinearities, and seriously threaten the stable operation. The main technical challenges of oscillation stabilization design are the nonlinearity, the complexity and the difficulty in obtaining models of renewable-dominant power systems. To cope with the paradigm shift, this paper proposes a physics informed data-driven oscillation stabilization (PDOS) strategy based on Koopman operator (KO), which offers the merits of strong interpretability and high computational efficiency. Firstly, the global linearization of the nonlinear dynamics is captured based on KO. Subsequently, a physics informed data-driven KO predictor is proposed, with the construction of basis functions adapted to power systems and introduction of physical constraints. This predictor can more accurately characterize the nonlinear oscillation behavior. Finally, using the KO-based linear quadratic regulator informed by physics, PDOS can online stabilize oscillations by regulating the control references of REG inverters. Case studies illustrate that the proposed strategy can stabilize oscillations effectively, adaptively and robustly, and the introduction of physics can enhance the control performance.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"2632-2645"},"PeriodicalIF":4.2,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Decentralized Modular Nonlinear Physics-Informed Neural Network (mnPINN) for Synchrophasor Data Anomaly Detection 用于同步数据异常检测的分散模块化非线性物理信息神经网络（mnPINN）

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-13 DOI: 10.1109/TIA.2025.3529822

P. Banerjee;V. Sivaramakrishnan;A. K. Srivastava

{"title":"Decentralized Modular Nonlinear Physics-Informed Neural Network (mnPINN) for Synchrophasor Data Anomaly Detection","authors":"P. Banerjee;V. Sivaramakrishnan;A. K. Srivastava","doi":"10.1109/TIA.2025.3529822","DOIUrl":"https://doi.org/10.1109/TIA.2025.3529822","url":null,"abstract":"Digital automation and advanced sensors providing high resolution measurements are enabling reliable and efficient operation of the electric grid. Inaccurate measurements caused by anomalies can deteriorate the performance of grid operation. It is critical to detect these anomalies in the sensor measurement and flag or replace them to maintain the data integrity. The source of anomalies may include sensor failures, communication failures, firmware problems, database corruption, software bugs, and cyber intrusions. Given large amount of sensor data, decentralized approaches reduce the burden of data transfer for long distances and may run faster on edge devices. Relying solely on data-driven approaches with no system context may lead to inaccuracies in the anomaly detection results. This can be significantly improved by exploiting the knowledge of the underlying physic of the system. In this paper, we have proposed a decentralized approach involving overlapping Physics Informed Neural Networks (PINNs) covering different key components of the power system. Detailed generator dynamics, network power flow, load models, solar cells, and wind turbines are implemented in the PINN along with a deep learning layer to complement known dynamics with supplemental data driven computations. Both linear and nonlinear models of generator dynamics are implemented in modular nonlinear PINNs (mnPINNs) for approximating different generators as Single Machine Infinite Bus (SMIB) models with varying details. The performance of the mnPINN is evaluated using specific metrics for changing levels of anomalies in the presence of physical events like load change, and faults. Results demonstrate the superior performance of the proposed mnPINNs.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"2490-2503"},"PeriodicalIF":4.2,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Two-Stage Approach for PV Inverter Engagement in Power Factor Correction and Voltage Regulation 光伏逆变器功率因数校正和电压调节的两阶段方法

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-13 DOI: 10.1109/TIA.2025.3529827

Shiva Poudel;Tylor E. Slay;Monish Mukherjee;Alexander A. Anderson;Daniel Kopin;Cyril Brunner;Kevin P. Schneider;Peter Christensen

{"title":"A Two-Stage Approach for PV Inverter Engagement in Power Factor Correction and Voltage Regulation","authors":"Shiva Poudel;Tylor E. Slay;Monish Mukherjee;Alexander A. Anderson;Daniel Kopin;Cyril Brunner;Kevin P. Schneider;Peter Christensen","doi":"10.1109/TIA.2025.3529827","DOIUrl":"https://doi.org/10.1109/TIA.2025.3529827","url":null,"abstract":"Rapid integration of distributed energy resources, such as solar photovoltaic (PV), can lead to overvoltage challenges in distribution feeders due to reverse power flow and low power factor at the substation interface. While existing literature extensively explores the utilization of smart inverter capabilities for reactive power flexibility using volt-var curve (VVC), obtaining time-varying operating points of such curves in real-time is challenging due to computational demands and communications requirements. Similarly, employing optimization-based approaches for reactive power control and active voltage regulation in large-scale distribution feeders is difficult due to the complexity of the problem and the challenges in effectively engaging customer-owned resources. This paper proposes a two-stage strategy to harness smart inverters for reactive power support. The first stage formulates short-term planning by optimally designing VVCs (sub-daily basis) for large-scale solar PVs based on projected system needs and communicating optimal curves to smart inverters in advance. Subsequently, the second stage employs a transactive-based method to involve customer-owned PVs for reactive power support, effectively enhancing overall system performance and addressing real-time demands. The efficacy of this approach will be demonstrated using real-world distribution circuits provided by Vermont Electric Power Company (VELCO) and Vermont Electric Cooperative (VEC).","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"2527-2537"},"PeriodicalIF":4.2,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neural Networks in RSCAD: Enhancing MMC-Based HVDC Simulation With Advanced Machine Learning 神经网络在RSCAD中的应用：用先进的机器学习增强基于mmc的HVDC仿真

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-13 DOI: 10.1109/TIA.2025.3529804

Bara Masalmeh;Rashmi Prasad;Vaibhav Nougain;Aleksandra Lekić

{"title":"Neural Networks in RSCAD: Enhancing MMC-Based HVDC Simulation With Advanced Machine Learning","authors":"Bara Masalmeh;Rashmi Prasad;Vaibhav Nougain;Aleksandra Lekić","doi":"10.1109/TIA.2025.3529804","DOIUrl":"https://doi.org/10.1109/TIA.2025.3529804","url":null,"abstract":"The potential of advanced neural networks (NNs) has yet to be explored in the field of HVDC transmission. Implementing such intelligent computational techniques on a real-time digital simulator (RTDS) is challenging due to the need for rapid computation and the risk of overfitting with extensive data generated at tiny time steps. To overcome these limitations, different NN techniques are studied using a supervised and reinforced imitation learning method to mimic the suggested controller with labeled data for real-time applications. Furthermore, the NN component does not necessarily just take a label, and therefore, the authors propose a more advanced approach by incorporating reinforced learning through an error-tracking mechanism into the NN, apart from its loss function. The initial offline processing identifies the best-suited NN technique for online computational feasibility. Both online and offline training methods as well as online adjustments are showcased to provide a robust control solution that is easy to implement. This work deals with developing an intuitive and versatile Toolbox installed on a real-time simulator platform that can integrate complex NN-based control strategies. Extensive simulations on the RTDS platform and experimental investigations of the four terminal HVDC systems validate the interest and viability of the proposed design methodology.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"2515-2526"},"PeriodicalIF":4.2,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0