{"title":"Leveraging LLMs and Knowledge Graphs to Design Secure Automation Systems","authors":"Ali M. Hosseini;Wolfgang Kastner;Thilo Sauter","doi":"10.1109/OJIES.2025.3545811","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3545811","url":null,"abstract":"The digital transformation of Industrial Control Systems (ICSs) within the Industry 4.0 paradigm is essential for industrial organizations to remain competitive, while cybersecurity is an enabler. However, security measures, often implemented late in the engineering process, lead to costly and complicated implementations. Thus, this article is concerned with the “security by design” principle in ICSs and facilitates compliance with ICS security standards, which can be legally mandated for some critical systems or adopted by asset owners to protect their assets. Current methods for compliance demand manual efforts from security experts, making the compliance process time-consuming and costly. To address this, we propose a framework for leveraging large language models (LLMs) combined with knowledge graphs to automate the interpretation of security requirements and system architecture as two main elements of the design phase. Our knowledge graph-augmented LLM framework converts system architectures into human natural language, enhancing the automation of various security analyses, especially those that need to handle textual requirements. The framework enables validating applicable security requirements provided by IEC 62443-3-3 (a widely-used ICS security standard) concerning system designs through a question-and-answer interface. To evaluate the framework, various questions with reference responses from human experts were prepared in the context of a use case, and the quality of the LLMs' responses was measured across various metrics. Moreover, we compared the framework with a baseline approach based on formal queries. The results show that the proposed framework effectively automates security tasks and offers a user-friendly interface accessible to nonexperts.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"380-395"},"PeriodicalIF":5.2,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10904297","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Nonlinear Modeling and Identification of Doubly Fed Induction Machines Under Varying Grid Conditions","authors":"Andre Thommessen;Christoph M. Hackl","doi":"10.1109/OJIES.2025.3543683","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3543683","url":null,"abstract":"Historically, grid-connected synchronous machines have formed the grid voltage and frequency. Today, the high penetration of inverter-based resources poses challenges to grid stability, as conventional grid-following control methods do not provide grid-forming capabilities. New grid-forming control methods need to stabilize the grid. Therefore, electromagnetic transient modeling is essential for control design and stability analysis in future power systems. This article proposes a novel reduced-order modeling and identification approach for doubly fed induction machines (DFIMs) with a grid-connected stator and inverter-connected rotor. The proposed generic modeling remains valid under varying grid or stator conditions. Consequently, the modeling approach is also applicable to induction machines with an inverter-connected stator. In this article, DFIM measurements identify a holistic current-to-flux mapping to model nonlinear magnetic saturation effects. A virtual current injection method is introduced to identify all differential inductances without additional measurements. Various simplified and holistic nonlinear modeling approaches are compared, and measurements validate the proposed holistic flux dynamics model under varying grid conditions.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"535-547"},"PeriodicalIF":5.2,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10892244","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bilevel Optimization Framework for Multiregional Integrated Energy Systems Considering 6G Network Slicing and Battery Energy Storage Capacity Sharing","authors":"Kun Cui;Ming Chi;Yong Zhao;Zhi-Wei Liu","doi":"10.1109/OJIES.2025.3542262","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3542262","url":null,"abstract":"Amidst the escalating challenges of global warming and energy crises, the rapid development of distributed renewable energy resources has emerged as a critical strategy. Regional integrated energy systems (RIESs) have garnered significant attention for their potential to integrate and optimize both distributed renewable energy resources and conventional energy facilities. This article presents a bilevel optimization framework for the electricity-storage coupling market in multi-RIES, considering the integration of 6G network slicing technology and battery energy storage (BES) capacity sharing. The upper-level model maximizes the profit of generation units by optimizing their bidding strategies, while the lower-level model aims to maximize social welfare through market clearing. The proposed line search-based global Levenberg–Marquardt algorithm addresses the limitations of existing algorithms with necessary and innovative improvements to tackle the challenge of global convergence in nonsmooth optimization problems. Numerical case studies validate the effectiveness of the proposed framework, demonstrating enhanced BES utilization, increased renewable energy generation, and improved social welfare. The results also highlight the sensitivity of social welfare to communication costs, underscoring the importance of careful cost calibration.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"396-414"},"PeriodicalIF":5.2,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10890923","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
João Marcus S. Callegari;Lucas S. Chaves;Lucas S. Araujo;Braz J. Cardoso Filho;Danilo I. Brandao
{"title":"Centralized Strategies for Grid-Connected Microgrids Integrating Multicontrol Actions to Enhance the Dynamic Response","authors":"João Marcus S. Callegari;Lucas S. Chaves;Lucas S. Araujo;Braz J. Cardoso Filho;Danilo I. Brandao","doi":"10.1109/OJIES.2025.3541880","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3541880","url":null,"abstract":"Feedback, feedforward, and disturbance decoupling control actions are commonly addressed to the well-known current control of distributed energy resources (DERs). This article extends these control actions to centralized grid-connected microgrids (MGs) aiming to improve the dynamics at their point of common coupling (PCC). Three strategies are comprehensively compared considering 1) feedback action (<italic>F</i> control); 2) feedforward and disturbance decoupling actions (<italic>fD</i> control); and 3) all three actions (<italic>FfD</i> control). Time-varying experimental results obtained using an experimental laboratory-scale single-phase MG show the feasibility of these centralized control schemes in real-field applications. Comparison is carried out regarding the PCC power reference tracking, MG control dynamic stiffness, and stability evaluation related to communication link nonidealities. Among the strategies, <italic>F</i> and <italic>fD</i> controls show lower susceptibility to communication latency. The proposed complete strategy, i.e., <italic>FfD</i>, shows wider reference tracking bandwidth and increased low-frequency dynamic stiffness to load and communication disturbances. These enhanced capabilities are attained by properly applying the well-established control actions at the MG firmware level, without requiring any MG hardware retrofit.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"331-344"},"PeriodicalIF":5.2,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10884821","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cooperative Optimization-Based Frequency-Domain Curve Fitting: Enhancing Accuracy and Efficiency","authors":"Shimpei Sato;Yoshihiro Maeda","doi":"10.1109/OJIES.2025.3542073","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3542073","url":null,"abstract":"The frequency-domain curve fitting of dynamic system models in modal summation form is an essential process in mechatronics control, and it is widely used in various industries. However, as the fitting problem often results in a nonconvex optimization problem, gradient-based methods, such as the nonlinear least-squares (NLSs) method, tend to become trapped in local optima owing to sensitivity to initial parameters, whereas metaheuristics-based methods, such as the genetic algorithm (GA), are hindered by extensive parameter search times. This article presents a novel curve fitting method based on a cooperative optimization approach that combines the GA and least-squares method. The proposed method efficiently and accurately identifies (quasi)global optimal parameters for nonconvex fitting problems without requiring complex initial parameter settings. Experimental results on a galvanometer scanner demonstrated that the proposed method outperforms conventional NLS-based and GA-based methods in terms of accuracy and efficiency.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"309-319"},"PeriodicalIF":5.2,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10887076","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143564179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiang Yin;Jinhua She;Jingcheng Guo;Wei Guo;Gang Su
{"title":"Composite Nonlinear Feedback-Based $N$-Order Equivalent-Input-Disturbance Approach","authors":"Xiang Yin;Jinhua She;Jingcheng Guo;Wei Guo;Gang Su","doi":"10.1109/OJIES.2025.3539343","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3539343","url":null,"abstract":"The equivalent-input-disturbance (EID) approach is effective to suppress the influences of disturbances. However, an EID-based control system suffers from severe fluctuations when an exogenous disturbance appears and disappears, which degrades the transient performance. This article uses the composite nonlinear feedback (CNF) to deal with such a problem and is the first time to do that. Moreover, an <inline-formula><tex-math>$n$</tex-math></inline-formula>-order low-pass filter is designed for the EID approach to improving the disturbance-rejection performance. Combining the <inline-formula><tex-math>$n$</tex-math></inline-formula>-order EID estimator with the CNF, a CNF-based <inline-formula><tex-math>$n$</tex-math></inline-formula>-order EID approach is presented, which not only improves the disturbance-rejection performance but also degrades the fluctuations of the system output when the disturbance appears and disappears. Analyzing the configuration of the <inline-formula><tex-math>$n$</tex-math></inline-formula>-order low-pass filter, this article finds and proves its general mathematical express using the mathematical induction method. Next, the stability analysis is broken into stability conditions of two subsystems. Then, the design of the <inline-formula><tex-math>$n$</tex-math></inline-formula>-order EID estimator is transformed into an optimization problem based on the stability conditions. Finally, the simulation results show the validity and superiority of the presented method.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"320-330"},"PeriodicalIF":5.2,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10876605","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Strategic Placement of Grid-Forming Inverters Considering Spatiotemporal Dynamics and Composite Stability Index","authors":"Chalitha Liyanage;Lasantha Meegahapola;Inam Nutkani;Mahdi Jalili","doi":"10.1109/OJIES.2025.3538480","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3538480","url":null,"abstract":"The strategic deployment of grid-forming inverters (GFMIs) is imperative to fully leverage their potential to stabilise the grid. Otherwise, poorly planned spatial allocation of GFMIs could threaten the overall system stability under network disturbances. There is an urgent need to develop a robust and multidimensional framework for GFMI placement and evaluation, considering various stability and spatiotemporal aspects of modern power systems. This article addresses this need by introducing a new GFMI placement framework considering spatiotemporal aspects of converter-interfaced renewables and a newly proposed GFMI placement index. The practical range of spatiotemporal aspects with a high probability of occurrence is captured by a reduced number of scenarios derived from a novel hybrid scenario reduction algorithm. Furthermore, the proposed composite GFMI placement index encapsulates distinct aspects of network stability, precisely, frequency and voltage stiffness/stability represented by the frequency deviation index (FDI) and the damping ratio index (DRI), respectively. The performance of the proposed GFMI placement strategy is validated through dynamic simulations by deploying GFMIs at strategic locations in a modified IEEE-39 bus network with converter-interfaced wind generators. The dynamic simulation results revealed that the proposed GFMI ranking system effectively identifies the best GFMI positions in contrast to relying solely on FDI or DRI and, thereby, can assist in preserving the stability of modern power systems with high RE penetration levels.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"290-308"},"PeriodicalIF":5.2,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10872818","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143496577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Hidden Surveillant Transmission Line Protection Layer for Cyber-Attack Resilience of Power Systems","authors":"Hossein Ebrahimi;Sajjad Golshannavaz;Amin Yazdaninejadi;Edris Pouresmaeil","doi":"10.1109/OJIES.2025.3534588","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3534588","url":null,"abstract":"This article proposes a framework to enhance the resilience of cyber-physical power systems (CPPSs) against cyber-attacks that are capable of bypassing the cyber-based defense mechanisms. To do so, a hidden and local surveillant protection layer is introduced that utilizes isolated measurement devices. Since this surveillance layer relies on local measurements, cyber-attackers cannot affect its performance. However, it requires highly accurate fault detection and classification units (FDCUs) which means requiring additional expenses. Therefore, at the outset, this article employs a deep-learning-based fault detection and classification method using a bidirectional long short-term memory (Bi-LSTM) model to achieve high accuracy with only local transmission line current measurements. The insight and knowledge of the FDCUs are also shared across their neighboring buses through the power-line-carrier communication system. Owing to the need for additional hardware, this system is modeled within a techno-economic framework. The established framework is applied to the CPPS through the evaluation based on distance from average solution (EDAS) method. The EDAS method allows for dynamic adjustments to the integration level of FDCUs based on an analysis of potential cascading failures from various cyber-attack target sets. Extensive simulations conducted on the IEEE 30-bus testbed validate the effectiveness of the proposed framework. The conducted evaluations show that the Bi-LSTM model achieves an impressive accuracy level exceeding 99.66%. This result highlights the robust performance of the proposed surveillant layer and demonstrates its superiority over existing fault detection and classification methods. The scalability of the proposed framework is also confirmed on the IEEE 118-bus testbed.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"170-180"},"PeriodicalIF":5.2,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10858390","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143361017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mahajan Sagar Bhaskar;Seshagiri Rao Vemparala;Dhafer Almakhles;Kumaravel S.;Mahmoud F. Elmorshedy
{"title":"A Scalable High-Voltage Gain DC/DC Converter With Reduced Voltage Stress for DC Microgrid Integration","authors":"Mahajan Sagar Bhaskar;Seshagiri Rao Vemparala;Dhafer Almakhles;Kumaravel S.;Mahmoud F. Elmorshedy","doi":"10.1109/OJIES.2025.3536032","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3536032","url":null,"abstract":"The conventional quadratic boost converter produces a high voltage gain. However, it has drawbacks, like switch voltage stress equal to the output voltage of the converter. This research introduced a novel approach: a scalable high-voltage gain converter strategically designed to address the voltage stress experienced by the switch and achieve a noteworthy reduction. This voltage stress reduction is applicable to all the stages of the proposed converter. It is worth highlighting that the converter ensures continuous input current and is configured with a common input and output ground, further enhancing its practicality. This study delves into an exhaustive steady-state analysis covering both the continuous and discontinuous conduction modes and the nonideal model. Furthermore, a comprehensive comparative analysis is presented, pitting the design and performance of the proposed converter against their recent high-gain counterparts. To evaluate dynamic performance, a small signal model is created. To confirm the dynamic and steady-state performance, a prototype of the proposed converter configuration is fabricated and tested, achieving a 48- to 650-V conversion and delivering 500 W of output power.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"277-289"},"PeriodicalIF":5.2,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10857397","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automated Cattle Monitoring System for Calving Time Prediction Using Trajectory Data Embedded Time Series Analysis","authors":"Wai Hnin Eaindrar Mg;Thi Thi Zin;Pyke Tin;Masaru Aikawa;Kazayuki Honkawa;Yoichiro Horii","doi":"10.1109/OJIES.2025.3533663","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3533663","url":null,"abstract":"This research introduces an automated system for cattle monitoring and calving time prediction, utilizing trajectory data embedded with time-series analysis. Designed for large-scale farms, our system offers continuous 12-h monitoring, ensuring precise capture of cattle movements. By utilizing time series analysis on the trajectory data, our system predicts calving events in advance, effectively distinguishing between abnormal (requiring human assistance) and normal (not requiring assistance) for each cow. We utilized 360° surveillance cameras to provide comprehensive coverage without disturbing the cattle's natural behavior. We employed tailored versions of the Detectron2 and YOLOv8 models to achieve efficient and precise cattle detection, comparing their performance in terms of missed detections and false detections. For tracking, we used our customized tracking algorithm, which minimizes ID switching and ensures continuous identification even in challenging conditions such as occlusions. While some ID switching errors still occur over extended tracking periods, we integrated tracking and identification to further optimize the handling of track IDs and global IDs. Our system incorporates a 4-h forecasting of cattle movement using Euclidean fluctuating summation (EFS) feature combined with our custom long short-term memory model. Experimental results demonstrate a detection accuracy of 98.70%, tracking and identification accuracy of 99.18%, and forecasting with an average error rate of 14.07%. Furthermore, the system accurately classifies cattle as either normal or abnormal and predicts calving events a 4-h in advance using the EFS feature, comparing its performance with various machine learning algorithms. The system's seamless integration significantly enhances farm management and animal welfare.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"216-234"},"PeriodicalIF":5.2,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10856329","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143388645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}