Iet Generation Transmission & Distribution最新文献

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IF 2.6 4区 工程技术
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引用次数: 0
Front Cover: Multi-Dimensional Stability Constrained Bi-Level Topology Optimisation Method for HVDC Systems Embedded in Dense AC Grids 前盖:密集交流电网中HVDC系统的多维稳定性约束双级拓扑优化方法
IF 2.6 4区 工程技术
Iet Generation Transmission & Distribution Pub Date : 2026-03-20 DOI: 10.1049/gtd2.70281
Mingxin Yan, Ying Huang, Guoteng Wang, Hui Cai, Zheng Xu, Xingning Han
{"title":"Front Cover: Multi-Dimensional Stability Constrained Bi-Level Topology Optimisation Method for HVDC Systems Embedded in Dense AC Grids","authors":"Mingxin Yan,&nbsp;Ying Huang,&nbsp;Guoteng Wang,&nbsp;Hui Cai,&nbsp;Zheng Xu,&nbsp;Xingning Han","doi":"10.1049/gtd2.70281","DOIUrl":"https://doi.org/10.1049/gtd2.70281","url":null,"abstract":"<p>The cover image is based on the article <i>Multi-Dimensional Stability Constrained Bi-Level Topology Optimisation Method for HVDC Systems Embedded in Dense AC Grids</i> by Ying Huang et al., https://doi.org/10.1049/gtd2.70249.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70281","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147567645","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}
引用次数: 0
Two-Stage Load Transfer Strategy for Multi-Energy Multi-Microgrids Based on Energy Hub Modelling 基于能量枢纽建模的多能多微电网两阶段负荷转移策略
IF 2.6 4区 工程技术
Iet Generation Transmission & Distribution Pub Date : 2026-03-16 DOI: 10.1049/gtd2.70208
Hui Wang, Xin Li, Li Liu, Yingying Zheng
{"title":"Two-Stage Load Transfer Strategy for Multi-Energy Multi-Microgrids Based on Energy Hub Modelling","authors":"Hui Wang,&nbsp;Xin Li,&nbsp;Li Liu,&nbsp;Yingying Zheng","doi":"10.1049/gtd2.70208","DOIUrl":"https://doi.org/10.1049/gtd2.70208","url":null,"abstract":"<p>In the face of sudden load fluctuations or energy shortages, load transfer in multi-energy multi-microgrid (MMG) plays a critical role in ensuring energy supply security. Traditional MMG load transfer strategies typically prioritise minimising load shedding while often neglecting inter-multi-energy microgrid (MG) coordination and the regulation burden on energy devices. To address these limitations, this paper proposes a load transfer strategy for MMG systems based on the energy hub (EH) model. First, a comprehensive energy hub-based modelling framework is established for the MMG. Then, a two-stage load transfer strategy is introduced: the first stage addresses local energy shortages within individual MGs by leveraging internal resources; the second stage is activated when local resources are insufficient, enabling coordinated energy transfer across microgrids to alleviate multi-energy shortages from a system-wide perspective. Furthermore, energy flow path analysis is conducted to explore optimal energy routing and inter-MG interactions under different load scenarios. Simulation results demonstrate that, compared with conventional strategies, the proposed approach reduces operational cost variation by 10.06% and 7.63%, respectively, decreases the regulation burden on internal devices, and enables effective inter-MG load coordination. These results confirm the proposed method's effectiveness in enhancing the economic efficiency and operational stability of MMG.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70208","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653349","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}
引用次数: 0
IF 2.6 4区 工程技术
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引用次数: 0
Mechanical Fault Feature Extraction and Diagnosis of SF6 High-Voltage Circuit Breakers Based on Shell Vibration Signals 基于壳体振动信号的SF6高压断路器机械故障特征提取与诊断
IF 2.6 4区 工程技术
Iet Generation Transmission & Distribution Pub Date : 2026-02-27 DOI: 10.1049/gtd2.70267
Yaqi Nie, Youyuan Wang
{"title":"Mechanical Fault Feature Extraction and Diagnosis of SF6 High-Voltage Circuit Breakers Based on Shell Vibration Signals","authors":"Yaqi Nie,&nbsp;Youyuan Wang","doi":"10.1049/gtd2.70267","DOIUrl":"https://doi.org/10.1049/gtd2.70267","url":null,"abstract":"<p>To address the issues of sensor loosening and significant signal interference when vibration sensors are installed near the operating mechanism of SF<sub>6</sub> circuit breakers, this study proposes relocating sensors to the breaker enclosure. To overcome signal attenuation at the enclosure, the ZF series 252 kV SF<sub>6</sub> circuit breaker was investigated, with sensor placement optimised according to contact engagement positions and moving direction. Linear and nonlinear features were extracted across time-domain, frequency-domain, and time-frequency-domain analyses to characterise vibration signals under typical mechanical faults, including inadequate closing spring energy storage, pin detachment, and insufficient contact finger gripping force. A fault diagnosis model based on feature fusion of enclosure vibration signals was constructed using the Random Forest algorithm. Experimental results demonstrate that compared to mechanism-mounted solutions, this approach significantly improves recognition accuracy for diverse fault types, providing an innovative solution for circuit breaker condition monitoring and intelligent maintenance.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70267","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148012235","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}
引用次数: 0
Analytical Frameworks and Theories of Electric Power in Non-Linear Circuits 非线性电路中电力的分析框架和理论
IF 2.6 4区 工程技术
Iet Generation Transmission & Distribution Pub Date : 2026-02-26 DOI: 10.1049/gtd2.70268
Rafael Escudero, Luis Ibarra
{"title":"Analytical Frameworks and Theories of Electric Power in Non-Linear Circuits","authors":"Rafael Escudero,&nbsp;Luis Ibarra","doi":"10.1049/gtd2.70268","DOIUrl":"https://doi.org/10.1049/gtd2.70268","url":null,"abstract":"<p>Electrical signals, especially currents, have significant distortions in modern power grids, mainly due to the increased inclusion of non-linear components and the shift towards decentralized power grids. Hence, the traditional power decomposition—active, reactive, apparent—becomes invalid, encouraging the pursuit of a generalized electrical power theory, one capable of providing both a mathematical formulation and a formal definition of power. Several theories have been proposed, but no consensus has been reached. Even the IEEE 1459 standard, devoted to this matter, recognizes the nonagreement among the different approaches. Consequently, a major challenge arises: What are the suitable definitions and methods for assessing power in grids with distorted signals? This study conducts a comprehensive systematic review of the literature to situate key developments in power theories. A deep analysis is provided, focusing on the mathematical nature of each seminal theory, their practical implementation directions, suitability for online applications, validity challenges, and reasons for their divergence. Furthermore, it identifies which theories have become the most popular within the time-domain approaches and the frequency-domain approaches. Despite the importance and maturity of this topic, the findings suggest that consensus will not be reached in the immediate future. There is a considerable ongoing debate about the definition of electrical power, which stems from the fact that each proposed power theory is currently challenged and undergoing rigorous scrutiny.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70268","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147315618","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}
引用次数: 0
Predicting the Fault-Ride-Through Probability of Inverter-Dominated Power Grids Using Machine Learning 利用机器学习预测逆变器主导电网的故障通过概率
IF 2.6 4区 工程技术
Iet Generation Transmission & Distribution Pub Date : 2026-02-24 DOI: 10.1049/gtd2.70264
Christian Nauck, Anna Büttner, Sebastian Liemann, Frank Hellmann, Michael Lindner
{"title":"Predicting the Fault-Ride-Through Probability of Inverter-Dominated Power Grids Using Machine Learning","authors":"Christian Nauck,&nbsp;Anna Büttner,&nbsp;Sebastian Liemann,&nbsp;Frank Hellmann,&nbsp;Michael Lindner","doi":"10.1049/gtd2.70264","DOIUrl":"https://doi.org/10.1049/gtd2.70264","url":null,"abstract":"<p>Assessing and mitigating risks in future power grids requires comprehensive analysis of their dynamic behaviour. Probabilistic stability analyses, which evaluate large ensembles of disturbances, are well-suited for this purpose and became mandatory for many grid operators. However, the computational costs of simulations impose strict limits on the number of configurations that can be evaluated. This study demonstrates how machine learning (ML) can address this challenge by enabling efficient prioritization of scenarios for detailed analysis in probabilistic dynamic stability assessments. We apply fault-ride-through probability—a practical metric measuring the likelihood of all grid components remaining within operational bounds after a fault—to show how ML can bridge the gap to real-world applications. A new dataset comprising thousands of dynamic simulations of synthetic power grids is generated to train ML models. Results reveal that ML models not only accurately predict fault-ride-through probabilities but also effectively rank the criticality of buses, identifying components most likely to destabilize the system and requiring further analysis. Importantly, the models generalize well to the IEEE-96 Test System, underscoring their robustness and scalability. This work highlights the transformative potential of ML in enabling efficient, scalable probabilistic stability studies, paving the way for integration into contingency screening for real-world grid operations.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70264","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147315542","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}
引用次数: 0
Metaheuristic-Based Load Frequency Control of Multi-Source Renewable Systems With SMES and AC-DC Parallel Tie-Lines 基于元启发式的中小企业交直流并联可再生能源系统负荷频率控制
IF 2.6 4区 工程技术
Iet Generation Transmission & Distribution Pub Date : 2026-02-23 DOI: 10.1049/gtd2.70266
Md. Shahan Sarker
{"title":"Metaheuristic-Based Load Frequency Control of Multi-Source Renewable Systems With SMES and AC-DC Parallel Tie-Lines","authors":"Md. Shahan Sarker","doi":"10.1049/gtd2.70266","DOIUrl":"https://doi.org/10.1049/gtd2.70266","url":null,"abstract":"<p>Maintaining frequency stability in interconnected, renewable-rich power systems is challenging due to low inertia and stochastic generation. This paper introduces a hybrid evolutionary exploration algorithm (HEEA) that combines the genetic algorithm (GA) and grey wolf optimiser (GWO) to co-tune PID controller gains and superconducting magnetic energy storage (SMES) parameters in a two-area, multi-source system linked by parallel AC–DC tie-lines. Compared to a triple-PID controller without SMES (best classical baseline), HEEA with SMES reduces the settling time by 84.4% in Area 1 (6.8813 to 1.0732 s), 64.6% in Area 2 (5.6571 to 2.0008 s) and 53.0% for tie-line power (5.0692 to 2.3798 s). Against contemporary metaheuristics (PSO, GA, GWO, SCA, ABC, WOA, DBOA and HHO), HEEA achieves the lowest ITAE (0.0003797) with faster convergence and improved overshoot/undershoot across 70 runs. Sensitivity tests variations of the parameter and renewable fluctuations under <span></span><math>\u0000 <semantics>\u0000 <mo>±</mo>\u0000 <annotation>$pm$</annotation>\u0000 </semantics></math> 25% and <span></span><math>\u0000 <semantics>\u0000 <mo>±</mo>\u0000 <annotation>$pm$</annotation>\u0000 </semantics></math> 50% confirm robustness. This approach enables grid operators to achieve faster recovery and tighter frequency regulation in renewable-dominated multi-area systems using AC–DC tie-lines and SMES.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70266","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147315538","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}
引用次数: 0
Scenario Generation Approach of Regional Wind Power Driven by Meteorological Data 基于气象数据的区域风电情景生成方法
IF 2.6 4区 工程技术
Iet Generation Transmission & Distribution Pub Date : 2026-02-23 DOI: 10.1049/gtd2.70244
Qian Kai, M. X. Wang, Heng Yan, Shengyuan Zhou
{"title":"Scenario Generation Approach of Regional Wind Power Driven by Meteorological Data","authors":"Qian Kai,&nbsp;M. X. Wang,&nbsp;Heng Yan,&nbsp;Shengyuan Zhou","doi":"10.1049/gtd2.70244","DOIUrl":"https://doi.org/10.1049/gtd2.70244","url":null,"abstract":"<p>Regarding the time-series scenario generation of regional wind power, conventional methods face challenges in accurately characterizing the variation patterns of the wind power under installed capacity expansion. To address this issue, this paper presents a historical meteorological data-driven regional wind power scenario generation approach, which can generate time-series regional wind power scenarios under historical weather conditions and expected wind power capacity expansion. First, wind power aggregation points (WPAPs) in the study region are selected based on the consistency of the wind turbine models and wind speeds among wind farms. Then, the wind speed spatial distribution in the study region is classified into several patterns, and a dual-layer convolutional neural network (DCNN) is designed to model the dependence of the regional wind power on wind speeds and installed capacities at WPAPs for each pattern. Finally, the expected installed capacities of wind power are aggregated to WPAPs to enable the trained DCNN models to generate regional wind power scenarios driven by the historical weather data. By means of the meteorological reanalysis data, the proposed approach can provide time-series regional wind power scenarios with heterogeneity and a high degree of credibility for long-term planning. Case studies in Shandong Province, China, are carried out to verify the effectiveness of the proposed approach.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70244","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147320917","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}
引用次数: 0
Impact of P2P Trading on the Dynamic Performance of Transmission Grids P2P交易对输电网动态性能的影响
IF 2.6 4区 工程技术
Iet Generation Transmission & Distribution Pub Date : 2026-02-20 DOI: 10.1049/gtd2.70263
Ekaterina Dudkina, Emanuele Crisostomi, Federico Milano
{"title":"Impact of P2P Trading on the Dynamic Performance of Transmission Grids","authors":"Ekaterina Dudkina,&nbsp;Emanuele Crisostomi,&nbsp;Federico Milano","doi":"10.1049/gtd2.70263","DOIUrl":"https://doi.org/10.1049/gtd2.70263","url":null,"abstract":"<p>Peer-to-peer (P2P) markets facilitate the integration of distributed energy resources, reduce distance between generation and consumption, and provide a convenient opportunity to reduce congestion on the transmission grid. In this context, P2P markets are usually investigated under the assumption that P2P trades are limited in size and number, thus ignoring the possible impact of the transmission network and its dynamic performance. However, the transmission grid is required to accommodate all the transactions that can not be satisfied in P2P markets, for example, due to local high prices or low generation. Accordingly, as P2P markets gain momentum, there is an increasing interest in assessing their potential impact on the transmission grid dynamic performance. This paper evaluates through extensive realistic simulations, the sensitivity of the frequency of the transmission grid to different parameters related to the P2P markets, such as variations in price, number of market participants, frequency of market clearance, and proposes a countermeasure to mitigate such an impact. The results show that P2P trading indeed affects system dynamics and an increasing number of P2P transactions may even lead to instability of the transmission system, but the proposed market price strategies are able to mitigate such undesirable effects.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70263","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147315632","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}
引用次数: 0
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