Iet Generation Transmission & Distribution最新文献

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148097315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing Resilience and Efficiency in Low-Voltage Resistive AC Microgrids Through Distributed Control Strategies","authors":"Afshin Hasani,&nbsp;Hossein Heydari,&nbsp;Mohammad Sadegh Golsorkhi","doi":"10.1049/gtd2.70217","DOIUrl":"https://doi.org/10.1049/gtd2.70217","url":null,"abstract":"<p>This study focuses on islanded AC microgrids and addresses the dynamic stability challenges caused by renewable energy variability and uncertain load demand. The work specifically targets the secondary control layer, which plays a critical role in restoring voltage and frequency while ensuring accurate power sharing among distributed generators (DG). The primary control relies on conventional voltage–current (V–I) droop characteristics to provide decentralized operation, but this approach alone leads to steady-state deviations and limited power-sharing accuracy. To overcome these limitations, we propose an advanced distributed secondary control strategy based on consensus algorithms. At this layer, the two fundamental parameters of the droop characteristic—its slope and offset—are dynamically tuned in a coordinated manner. Active power sharing is improved by adjusting both the slope and the offset of the d-axis droop, while reactive power control is refined through modifications to the q-axis slope. This dual-parameter adaptation ensures robust proportional power sharing, precise voltage regulation at the point of common coupling, and resilience against communication delays. The effectiveness of the proposed secondary control scheme is validated through detailed simulations in MATLAB/Simulink, demonstrating enhanced stability, faster transient recovery, and improved power quality under varying load conditions.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70217","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145891567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148097314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Novel Model-Free Defense Scheme for Power Systems Stability Under Cyber Attacks","authors":"Soroush Oshnoei,&nbsp;Rasool Peykarporsan,&nbsp;Jalal Heidari,&nbsp;Esmaeil Mahboubi-Moghaddam,&nbsp;Tek Tjing Lie,&nbsp;Mohammad-Hassan Khooban","doi":"10.1049/gtd2.70218","DOIUrl":"https://doi.org/10.1049/gtd2.70218","url":null,"abstract":"<p>The load frequency control (LFC) scheme, as a vital application in power systems' stability, makes the power system susceptible to cyber-attacks due to its dependence on information technologies and communication networks. This paper studies the LFC performance of Kundur's 4-unit-12-bus power system under false data injection (FDI) attacks. The available defence schemes are either based on the system's model or data-driven. The effectiveness of these schemes depends on the precise mathematical modelling or the extensive historical data of the power system. Therefore, it is necessary to design a defence strategy without depending on the mathematical model and the historical data of the system. To this end, this paper proposes a model-free resilient defence strategy, comprising a model-free detection scheme and an event-triggered mechanism. The presented detection scheme accomplishes the manipulated signal estimation using the measurement and control signals and compares the difference between the estimated and observed signals with a predefined threshold value. When the difference exceeds the threshold value, the detection scheme announces that an attack has occurred on the system. After detecting an attack, the event-triggered mechanism is activated to mitigate the attack's effect on the system frequency response. Accordingly, the event-triggered mechanism blocks the falsified signal and submits the estimated signal to the LFC controller. The presented scheme is independent of the system's mathematical model and historical data and can be employed in any cyber-physical power system. The design process of this strategy is simple and independent of the size and complexity of the power system. A deep reinforcement learning algorithm is also employed to tune the adjustable parameters of the proposed method. The real-time results obtained by the OPAL-RT simulator show that the developed scheme can timely identify FDI attacks and completely mitigate the attack's effect on the system's dynamic performance.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70218","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145891670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148098119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Distributionally Robust Optimization Economic Dispatch for Power Systems With High Wind Penetration Under Extreme Cold Waves","authors":"Weixin Yang,&nbsp;Hongshan Zhao,&nbsp;Shiyu Lin,&nbsp;Heyang Zhou","doi":"10.1049/gtd2.70224","DOIUrl":"https://doi.org/10.1049/gtd2.70224","url":null,"abstract":"<p>The increasing frequency of extreme cold waves exacerbates wind power uncertainty, intensifying the trade-off between robustness and economy in high wind penetration power systems. To address the problem, this paper proposes a DRO method based on distributionally robust Bayesian inference (DRBI). An ambiguity set defined by the Wasserstein metric is first constructed utilising historical wind data. Secondly, the likelihood distribution of wind power output is predicted using an XGB-transformer model. To accurately characterise wind power output during cold waves, a posterior distribution is then constructed using the proposed DRBI framework. Next, a DRO dispatch model is constructed to ensure operational robustness while minimising total operating cost. Constraints include power balance, wind power uncertainty and system security requirements. The model is solved based on strong duality theory. Finally, the model is validated on a regional 30-bus system and a modified IEEE 118-bus system. Experimental results show that, compared to stochastic optimisation and robust optimisation models, the proposed model effectively balances robustness and economy under cold waves. Besides, accounting for wind power uncertainty, experimental results suggest maintaining wind power penetration at 10–20%. Moreover, the economic efficiency of the optimal schedule can be further improved by adjusting the sample size of cold-wave scenarios.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70224","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145887753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148098120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Shielding of Unconventional High Surge Impedance Loading Transmission Lines","authors":"Saikat Chowdhury,&nbsp;Mona Ghassemi","doi":"10.1049/gtd2.70203","DOIUrl":"https://doi.org/10.1049/gtd2.70203","url":null,"abstract":"<p>The ever-increasing demand for electricity necessitates constant innovation in the electric utility sector. In this regard, high surge impedance loading (HSIL) transmission lines can be a promising technology. While conventional HSIL designs rely on more subconductors located symmetrically on circular bundles with a larger radius, unconventional HSIL lines can achieve even more natural power by optimally positioning subconductors in space. This paper focuses on determining the optimal location and number of shield wires for a newly designed 500 kV unconventional HSIL line, whose surge impedance is reduced to 141.5<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mspace></mspace>\u0000 <mi>Ω</mi>\u0000 </mrow>\u0000 <annotation>$nobreakspace Omega$</annotation>\u0000 </semantics></math>, resulting in a 74% increase in SIL compared to a conventional configuration (996 MW). New equations for calculating line inductance and capacitance, considering transposition for both phase and bundle arrangements, are developed. The shielding design aims to maintain an SFFOR of 0.05 flashovers per 100 km-years. Numerical analysis indicates that placing the shield wire at <span></span><math>\u0000 <semantics>\u0000 <mi>x</mi>\u0000 <annotation>$x$</annotation>\u0000 </semantics></math> = 7.2 m yields SFFOR = 0.047 under high lightning activity (Td = 30), while <span></span><math>\u0000 <semantics>\u0000 <mi>x</mi>\u0000 <annotation>$x$</annotation>\u0000 </semantics></math> = 6.35 m maintains SFFOR &lt; 0.05 under low activity (Td = 5). These results are validated through geometric circle diagrams, demonstrating effective shielding for all three phases without increasing tower height. This study presents a practical shielding method for unconventional HSIL lines that have the potential to revolutionize bulk power transmission.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70203","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145887295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148090354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Robust Energy Forecasting in Combined Cycle Power Plants: Mitigating Cyberattacks on Machine Learning Models","authors":"Najmul Alam,&nbsp;Md. Abdur Rahman,&nbsp;Md. Rashidul Islam,&nbsp;Md. Arafat Hossain,&nbsp;Mohammad Ashraf Hossain Sadi,&nbsp;M. J. Hossain","doi":"10.1049/gtd2.70216","DOIUrl":"https://doi.org/10.1049/gtd2.70216","url":null,"abstract":"<p>The utilization of data for generation output forecasting in combined cycle power plants (CCPPs) makes room for attackers to exploit and degrade the performance of machine learning models. This work investigates the potential impacts of cyberattacks on energy generation forecasting models for CCPPs. Attacks are implemented on the four top-performing forecasting models: gradient boosting, extreme gradient boosting, Random Forest, and CatBoost, identified through a comparative analysis of 12 models, including various tree-based methods, support vector machines, deep learning models, and linear regression techniques. Scaling, denial of service, fast gradient sign method, and basic iterative method attacks are employed with diverse attack volumes and perturbations to investigate the vulnerability of these models. To counteract these vulnerabilities, a two-layer defence scheme employing ensemble adversarial training is proposed, aimed at mitigating the adverse effects of these cyberattacks. The findings underscore the significance of the proposed robust defence strategy in ensuring the reliability of forecasting models in the presence of cyberattacks.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70216","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145825043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}