Iet Generation Transmission & Distribution最新文献_第2页

A Two-Stage Preference-Aware Model for Electric Vehicle Spatiotemporal Charging Scheduling 电动汽车时空充电调度的两阶段偏好感知模型

IF 2.6 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2026-02-13 DOI: 10.1049/gtd2.70261

Yueben Zheng, Ronghui Liu, Gaiping Sun

{"title":"A Two-Stage Preference-Aware Model for Electric Vehicle Spatiotemporal Charging Scheduling","authors":"Yueben Zheng, Ronghui Liu, Gaiping Sun","doi":"10.1049/gtd2.70261","DOIUrl":"https://doi.org/10.1049/gtd2.70261","url":null,"abstract":"The popularity of electric vehicles (EVs) is driving the electrification of transportation. However, the high penetration of EVs may lead to road congestion and overload of the distribution network (DN). With the overall goal of optimising the spatiotemporal distribution of EV charging load and reducing the charging navigation cost, a two-stage spatiotemporal scheduling method considering different user preferences is proposed. In Stage I, a multi-agent cooperative framework and an improved Dijkstra algorithm are proposed. To effectively perceive user preferences, this method incorporates dynamic traffic flow, DN information and the value preferences of EV users to improve the charging station (CS) utility function, and sets the search area to reduce the time complexity of the Dijkstra algorithm. In Stage II, variable time-scale charging scheduling is performed for EVs with different charging requirements to optimise the temporal distribution of EV loads. The simulation case verifies the effectiveness of the two-stage EV spatiotemporal scheduling model. The results show that this method provides a low-cost and fast-response charging navigation solution, effectively alleviating traffic congestion and the peak-to-valley difference of DN is reduced by 23.4%.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70261","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147280933","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

Regional Cooperative Control Method of Reactive Voltage in Distribution Network Containing Distributed Power Sources 分布式电源配电网无功电压区域协同控制方法

IF 2.6 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2026-02-11 DOI: 10.1049/gtd2.70259

Bo Yang, Chongchong Xu, Xinhui Shi, Chen Wang, Bin Zhao, Yonghai Xu, Yutong Wu, Lei Tan, Yang Li, Jianyong Zhao

{"title":"Regional Cooperative Control Method of Reactive Voltage in Distribution Network Containing Distributed Power Sources","authors":"Bo Yang, Chongchong Xu, Xinhui Shi, Chen Wang, Bin Zhao, Yonghai Xu, Yutong Wu, Lei Tan, Yang Li, Jianyong Zhao","doi":"10.1049/gtd2.70259","DOIUrl":"https://doi.org/10.1049/gtd2.70259","url":null,"abstract":"With the rapid increase in penetration of distributed generation predominantly based on renewable energy sources within distribution networks, the inherent volatility and intermittency of distributed generation exacerbate voltage fluctuations and uneven voltage profiles. Concurrently, insufficient coordination mechanisms for diverse controllable devices lead to frequent limit violations of automatic voltage control actions at substations, causing significant voltage control challenges. To address these issues, this study proposes a reactive power voltage control method for distribution networks based on a ‘network partitioning and distributed scheduling’ process. First, the affinity propagation clustering algorithm is employed to partition the network based on the reactive power-voltage sensitivity matrix. Subsequently, a Markov game model is formulated for voltage control within each partition and the twin delayed deep deterministic policy gradient algorithm is utilised for a distributed solution, outputting target reactive power setpoints for both distributed generators and static Var compensators. Compared to conventional real-time control methods, the proposed approach significantly reduces the dependence on centralised communication infrastructures and achieves autonomous regional control of reactive power and voltage. Consequently, it effectively minimises the frequency of automatic voltage control corrective actions and enhances the robustness of voltage control. Finally, the effectiveness of the proposed methodology is validated through simulation case studies utilising the IEEE 33-bus test system and a real-world network model based on the Beijing distribution grid.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70259","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147268955","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

Energy Management for Low-Carbon Distribution System With Smart Building Prosumers and EVs Interaction 基于智能建筑、产客和电动汽车互动的低碳配电系统能源管理

IF 2.6 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2026-02-11 DOI: 10.1049/gtd2.70240

Armin Mohajeri Avval, Abdolmajid Dejamkhooy

{"title":"Energy Management for Low-Carbon Distribution System With Smart Building Prosumers and EVs Interaction","authors":"Armin Mohajeri Avval, Abdolmajid Dejamkhooy","doi":"10.1049/gtd2.70240","DOIUrl":"https://doi.org/10.1049/gtd2.70240","url":null,"abstract":"This paper develops a model for energy management in low-carbon distribution systems that considers multiple goals: reducing costs, cutting emissions, and keeping the grid reliable. The framework links the distribution system operator (DSO) with prosumers such as buildings equipped with solar panels, batteries, and smart parking lots. Parking lots play an essential role since electric vehicles (EVs) can act as mobile batteries, charging when demand is low and returning power to the grid at peak times. A risk-averse method is applied to handle uncertainty in renewable generation, demand, and market prices rather than relying only on fixed forecasts. The model shows that coordinated interaction between DSOs and prosumers can lower costs and emissions while improving system stability. It also highlights the economic opportunities for prosumer owners and EV participants in transitioning toward low-carbon distribution networks. Over a 24 h horizon, the proposed framework reduced operating costs by 13.9%, emissions by 18.1%, and network losses by approximately 2%.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70240","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147288412","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

Optimized Nonlinear Grid-Forming Controller Based on Feedback Linearization 基于反馈线性化的优化非线性网格成形控制器

IF 2.6 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2026-02-11 DOI: 10.1049/gtd2.70253

Bingwei Jiang, Yongning Chi, Weifang Lin, Yiwen Fan

引用次数: 0

Case Study of Vehicle-to-Grid Incentive Design Under Multiple Scenarios: A Policy-Making Perspective 基于决策视角的多情景下车辆入网激励设计案例研究

IF 2.6 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2026-02-08 DOI: 10.1049/gtd2.70254

Muchun Wan, Lin Xia, Yingning Huo, Yuzhong Gong, Guangchao Geng, Quanyuan Jiang

{"title":"Case Study of Vehicle-to-Grid Incentive Design Under Multiple Scenarios: A Policy-Making Perspective","authors":"Muchun Wan, Lin Xia, Yingning Huo, Yuzhong Gong, Guangchao Geng, Quanyuan Jiang","doi":"10.1049/gtd2.70254","DOIUrl":"https://doi.org/10.1049/gtd2.70254","url":null,"abstract":"The commercialization of vehicle-to-grid (V2G) technology is critically hindered by the absence of a cost-effective and user-acceptable incentive mechanism, which limits electric vehicles (EVs) users' willingness to participate in grid dispatch. To address this issue, this paper thoroughly designs the optimal V2G incentive from a policy-making perspective, based on real-world data from Zhejiang Province, China. The methodology involves: 1) defining the lower and upper limits of V2G incentive from user and utility perspectives; 2) categorizing V2G application scenarios (industrial parks, residential communities, public parking lots) and designing each business schemes; 3) constructing optimization models and performing Monte Carlo simulations; 4) conducting a social experiment in Zhejiang Province, China, to modeling user participation willingness based on real data. The quantitative results indicate that the optimal V2G incentives are 0.71 CNY/kWh for industrial parks, 0.77 CNY/kWh for residential communities and 0.32 CNY/kWh for public parking lots. A unified policy incentive is derived as 0.75 CNY/kWh through welfare weighting. Sensitivity analysis reveals that while the power source mix and V2G technology cost have limited impacts, advancements in power battery technology, higher time-of-use tariff differentials and increased subsidies can enhance overall welfare. Furthermore, improved power supply reliability and larger EVs numbers can reduce the optimal V2G incentive, projecting a decline to 0.30 CNY/kWh by 2029.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70254","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147268870","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

Operation of Microgrids Under Uncertainty With Critical Loads 临界负荷不确定条件下微电网的运行

IF 2.6 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2026-02-05 DOI: 10.1049/gtd2.70237

Abolfazl Mokhtari, Amir Mahdi Heydari Tafreshi

{"title":"Operation of Microgrids Under Uncertainty With Critical Loads","authors":"Abolfazl Mokhtari, Amir Mahdi Heydari Tafreshi","doi":"10.1049/gtd2.70237","DOIUrl":"https://doi.org/10.1049/gtd2.70237","url":null,"abstract":"Ensuring reliable operation of active microgrids with critical loads, such as emergency infrastructure or energy-sensitive industries, under uncertain conditions such as unplanned grid power outages, introduces a significant challenge to electric power system operators. This paper proposes an optimization framework to address the operational complexities of an active microgrid that participates in the day-ahead and real-time electricity markets while prioritizing uninterrupted power supply to mission-critical loads during unplanned utility grid power outages. Given the constraints of the electrical power grid, this paper utilizes a customized stochastic adaptive robust optimization method to handle various uncertainties that such a microgrid faces, including electricity prices, duration and time of unplanned grid power outages, and renewable energy sources output. This customized method enables the microgrid operator to consider unintentional islanding events rationally using a modified uncertainty budget allocation logic. In order to investigate the effectiveness of the proposed management framework, case studies were conducted using an IEEE base case model. Results have shown that, utilizing the proposed method, the microgrid operator is able to reduce total system costs by 27% while lowering the instances of critical load curtailment by 71% compared to the deterministic approach. In addition, results of assessments demonstrate that using the proposed method, the microgrid is able to operate safely under at least 98% of the simulated days, securing the safe power supply for the critical loads using the proposed framework.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70237","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147280914","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

A Constrained Online Convex Optimisation Approach for Setpoint Tracking and Deviation Compensation 一种设定值跟踪与偏差补偿的约束在线凸优化方法

IF 2.6 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2026-02-05 DOI: 10.1049/gtd2.70250

Zhong Wang, Jianping Zhang

{"title":"A Constrained Online Convex Optimisation Approach for Setpoint Tracking and Deviation Compensation","authors":"Zhong Wang, Jianping Zhang","doi":"10.1049/gtd2.70250","DOIUrl":"https://doi.org/10.1049/gtd2.70250","url":null,"abstract":"Price-based demand response has been widely implemented by load aggregators to guide end-users to optimise power usage patterns. However, a key problem in practical implementation is that the current values of user price elasticity cannot be known before the current price is announced to users. To address this issue, we propose a constrained online convex optimisation (OCO) pricing strategy, which utilises the previous price adjustment and the corresponding user price elasticity to make the current price adjustment, schedule the uncertain load to track the power setpoint and combine energy storage to compensate for the tracking deviations in each round. The proposed OCO approach incorporates adversarial loss functions and adversarial constraints. Notably, these constraints are revealed only after making decisions and can tolerate instantaneous violations, yet they must be satisfied in the long term on average. Besides, dynamic Regret and dynamic Violation are introduced to guarantee the performance of the proposed approach. Finally, step and sinusoidal fluctuations are tested to validate the tracking performance. The findings highlight great application potential of the proposed constrained OCO pricing strategy in EV charging stations.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70250","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147320751","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

Power Line Communication as a Sensor: Medium Voltage Cable Diagnostics 电力线通信作为传感器：中压电缆诊断

IF 2.6 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2026-02-05 DOI: 10.1049/gtd2.70248

Lukas Benesl, Petr Mlynek, Michal Krbal, Martin Rusz, Petr Musil, Jiri Misurec, Jan Slacik

{"title":"Power Line Communication as a Sensor: Medium Voltage Cable Diagnostics","authors":"Lukas Benesl, Petr Mlynek, Michal Krbal, Martin Rusz, Petr Musil, Jiri Misurec, Jan Slacik","doi":"10.1049/gtd2.70248","DOIUrl":"https://doi.org/10.1049/gtd2.70248","url":null,"abstract":"This article explores the secondary use of power line communication (PLC) technology, specifically broadband power line (BPL), as a diagnostic tool for medium voltage (MV) cable lines. Through experimental measurements, it was confirmed that selected communication parameters of BPL modems exhibit measurable deviations in the presence of partial discharge (PD) activity. Specifically, the parameters considered are throughput, signal-to-noise ratio (SNR), link capacity, bit load estimate (BLE), transmission amplitude map, Tonemap (modulation scheme), and Tonemask. In particular, BPL throughput decreased by approximately 10 Mbps for 100 pC PD and by around 50% for 1,000 pC PD. Since partial discharges are an early indicator of insulation system degradation, their detection supports predictive maintenance and contributes to improving the operational reliability of distribution networks. The results demonstrate that PLC/BPL technology–originally designed for communication and automation of distribution transformer stations (DTS)–can also serve as a cost-effective and readily deployable sensor system for real-time monitoring of cable health, without the need for dedicated diagnostic equipment. Experiments employing both inductive and capacitive couplers confirm the effectiveness of this secondary application in detecting insulation-related anomalies.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70248","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146162416","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

Multi-Information Fusion Diagnosis of High-Voltage Circuit Breakers via Newton–Raphson Optimised Transformer and Meta-Transfer Learning 基于Newton-Raphson优化变压器和元迁移学习的高压断路器多信息融合诊断

IF 2.6 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2026-02-04 DOI: 10.1049/gtd2.70252

Zhengrun Zhang, Yanxin Wang, Jing Yan, Qianzhen Jing, Jianhua Wang, Yingsan Geng, Dipti Srinivasan

{"title":"Multi-Information Fusion Diagnosis of High-Voltage Circuit Breakers via Newton–Raphson Optimised Transformer and Meta-Transfer Learning","authors":"Zhengrun Zhang, Yanxin Wang, Jing Yan, Qianzhen Jing, Jianhua Wang, Yingsan Geng, Dipti Srinivasan","doi":"10.1049/gtd2.70252","DOIUrl":"https://doi.org/10.1049/gtd2.70252","url":null,"abstract":"Mechanical fault diagnosis of high-voltage circuit breakers (HVCBs) remains challenging due to the complex and nonstationary nature of vibration signals, scarcity of fault samples, and the limited feature-extraction capacity of existing few-shot learning models. To address these challenges, this paper proposes a multi-information fusion diagnostic framework that integrates a Newton-Raphson optimised Transformer with meta-transfer learning (MTL). Specifically, entropy-weighted fusion is introduced to suppress conflicting channels and aggregate multi-directional vibration measurements into an informative representation. To improve training stability and reduce sensitivity to manual trial-and-error under limited data, a Newton–Raphson-based optimiser is employed offline to select key Transformer hyperparameters. For data-scarce and cross-scenario diagnosis, a meta-transfer learning scheme with a lightweight scale-shift adaptation module enables fast adaptation while mitigating overfitting. The proposed framework is validated on a self-developed multimodal vibration acquisition platform and compared with representative baselines. Experimental results show that the proposed approach achieves the highest diagnostic accuracy (98.45%) and F1-score (98.26%) under 5-way 5-shot settings, outperforming conventional baselines by 2.0%–5.5%. The method exhibits strong interpretability and adaptability to variable operating conditions, providing a reliable solution for intelligent mechanical fault diagnosis of HVCBs.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"20 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70252","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146176155","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 Robust Security-Constrained Unit Commitment for Wind Power Reserve Provision Optimisation Under Decision-Dependent Uncertainty 决策依赖不确定性下风电备用配置优化的两阶段鲁棒安全约束机组承诺

IF 2.6 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2026-02-03 DOI: 10.1049/gtd2.70251

Yuzheng Liu, Tao Ding, Yujie Ding, Biyuan Zhang, Shengjie Wang, Xuebin Wang

引用次数: 0