Iet Generation Transmission & Distribution最新文献

{"title":"Real-Time Tracking of Fault Development and Faulty Feeder Identification Method for Resonant Grounding System Based on Transient Information During Arc Suppression","authors":"Zhuang Jiang,&nbsp;Zixiong Wan,&nbsp;Xiangjun Zeng,&nbsp;Baowen Liu","doi":"10.1049/gtd2.70136","DOIUrl":"10.1049/gtd2.70136","url":null,"abstract":"<p>The existing fault development tracking and detection technology in resonant grounding system is independent of the arc suppression process, which is mainly reflected in the aspects that the use of arc suppression state information is ignored in the fault detection and the transition resistance fluctuation is unable to be accurately identified and tracked during the process of arc suppression. In order to solve the problem of coordination between fast arc suppression and sensitive fault detection in resonant grounding system, a real-time fault tracking and fast faulty feeder identification method based on arc suppression state information after full compensation of arc suppression coil is proposed in this paper. A dynamic circuit analysis model is established to characterise the tuning action of arc suppression coil, and the changing law of zero-sequence parameters under different transition resistances during the transient process of arc suppression is revealed. The rapid identification of transition resistance, real-time tracking of fault degree and faulty feeder identification methods are proposed based on the transient components of zero-sequence voltage and current. Simulation result proves that the method is effective, which provides an original idea for fault tracking and detection in resonant grounding system.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70136","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145128932","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":"Accelerated Dual Ascent Based Distributed Voltage Control for PV and BESS Coordination of Distribution Networks","authors":"Yong Li,&nbsp;Xiren Zhang,&nbsp;Yanjian Peng,&nbsp;Shuai Xiao,&nbsp;Xingyu Shi,&nbsp;Ling Liu,&nbsp;Yijia Cao","doi":"10.1049/gtd2.70129","DOIUrl":"10.1049/gtd2.70129","url":null,"abstract":"<p>The development of distributed photovoltaic (PV) power generation has been significantly promoted in recent years. With the increasing penetration of PVs, severe voltage violations may occur in distribution networks due to the intermittency and fluctuation of PV power output. Reactive power compensation by PV and active power charging/discharging by battery energy storage systems (BESS) are effective solutions. This paper proposes an accelerated dual ascent (ADA)-based distributed voltage control framework for PV and BESS coordination of distribution networks to alleviate the voltage violation. To maximise PV utilisation, the strategy prioritises PV reactive power control, while BESS active power rapidly responds to voltage deviations if the voltage exceeds predefined limits. The proposed voltage control strategy can effectively ensure distribution network security. Furthermore, to enhance the convergence speed of the traditional dual ascent (DA) algorithm, this paper incorporates an additional momentum term into the DA algorithm to obtain the ADA algorithm. To address the limitation of traditional voltage control, which requires iterative convergence before voltage control can be performed, an online voltage control strategy has been designed. The online implementation of ADA-based distributed voltage control leverages instantaneous voltage measurement to effectively handle rapid fluctuations of distribution networks. Moreover, the proposed method only requires information exchange between adjacent PVs and BESSs, thereby reducing the complexity of communication. Simulation based on an IEEE 123-bus distribution network and a typical rural distribution network demonstrated the proposed control strategy has a faster convergence speed and better voltage regulation effect.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70129","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144751265","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":"Joint Generation and Water Desalination Expansion Planning","authors":"Mahdi Alsaffar,&nbsp;Mostafa Ardakani,&nbsp;Yousef M Al-Abdullah","doi":"10.1049/gtd2.70133","DOIUrl":"10.1049/gtd2.70133","url":null,"abstract":"<p>Infrastructure expansion planning is the process of deciding what, where, and when to build to meet the future needs. In some arid regions, with severe freshwater scarcity, water is produced via desalination. Since desalination is an energy intensive process, this leads to a high level of interdependence between the water and energy systems. Traditionally, the two systems are planned for separately and sometimes even operated with little to no coordination. The lack of coordination leads to inefficiencies that can be eliminated with better models. This paper contributes in developing a joint generation-water expansion planning model that incorporates the interdependence between the two systems, and thus finds a superior plan. To develop the model, power and water operational constraints are implemented linking both system in planning and operations levels. The paper quantifies energy consumption needs of both thermal and membrane desalination processes. Furthermore, the paper establishes a water consumption duration curve to model the correlation between water and power demand. Simulation studies are presented on a modified IEEE RTS system. This proposed joint planning and operations model was compared to a separate generation-water planning and operations modeling method to show the out performance the joint model offers.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70133","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144740365","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":"Stabilizing Renewable-Rich Microgrids and Avoiding Load Shedding by Minimum Size of Energy Storages as Virtual Inertia With Optimum Droop Coefficients: A Realistic Case of Broome City","authors":"Hormoz Mehrkhodavandi,&nbsp;Ali Arefi,&nbsp;Amirmehdi Yazdani,&nbsp;Ashkan Najmizadeh,&nbsp;Sanaz Nouri,&nbsp;Elyas Fathi","doi":"10.1049/gtd2.70122","DOIUrl":"10.1049/gtd2.70122","url":null,"abstract":"<p>This paper proposes a novel method to tackle the growing problem of system instability in microgrids, which is brought on by the widespread adoption of renewable energy sources (RESs) and distributed generators (DGs). Connecting RESs and DGs to microgrids through power electronic interfaces leads to a decrease and fluctuation in the system's inertia. This reduction in inertia leads to increased uncertainty and instability in the system, necessitating either load shedding or the curtailment of renewable generation, which are undesirable for both utilities and customers. To address these challenges, this paper provides a novel approach for enhancing inertia in microgrids to avoid any instability or load shedding. This approach introduces a multi-objective optimization algorithm based on the non-dominated sorting genetic algorithm II (NSGA-II), implemented in a co-simulation platform combining MATLAB and DIgSILENT PowerFactory. The algorithm simultaneously determines the minimum required capacity of battery energy storage systems (BESSs) acting as virtual inertia and their optimum droop coefficients to stabilize the grid and prevent load shedding. The proposed approach is formulated within the context of a multi-objective optimization algorithm, by utilizing the NSGA-II in an integrated DIgSILENT and MATLAB framework. The simulation results show the positive results of the proposed approach in stabilizing the microgrid of Broome city and avoiding any load shedding. The method is validated under three critical scenarios: a 0.97 MW step load increase, a cloud event reducing PV output by 49%, and a synchronous generator outage. Results show that the optimized BESS configuration successfully maintains frequency stability and avoids any load shedding. The minimum sizing of BESSs and their optimum droop coefficient are obtained for different scenarios including step load change, cloud event, and synchronous generator outage. Compared to conventional approaches, the proposed method significantly reduces the required BESS capacity while ensuring compliance with frequency nadir and RoCoF constraints. This approach provides a cost-effective and scalable decision-making tool for microgrid operators to enhance system resilience and customer satisfaction. The outcome of this research is a critical decision-making tool for the microgrid owner to cost-effectively decide the virtual inertia sizing and their parameters for stabilization of microgrid and to improve customer satisfaction by avoiding load shedding. This contribution bridges the gap between academic research and field-level implementation, offering a scalable and adaptable strategy for future renewable-rich microgrids.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70122","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144716928","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":"Multi-Objective Configuration and Economic Dispatch of Hybrid Distribution Network Using Energy Router","authors":"Xiaomei Wu,&nbsp;Junbin Chen,&nbsp;Xiangrui Tong,&nbsp;Ruitao Wu,&nbsp;Huaijia Zhang,&nbsp;Ning Tong","doi":"10.1049/gtd2.70135","DOIUrl":"10.1049/gtd2.70135","url":null,"abstract":"<p>The AC/DC hybrid distribution network flexibly accommodates various power sources and loads, adapting to the growing penetration of distributed photovoltaic (PV) and electric vehicles (EVs). An Energy Router (ER), a device with multiple electrical energy ports, enables bi-directional AC/DC conversion, active energy flow management, and multi-port interconnection. This paper proposes an ER-based configuration and economic dispatch (ED) criterion for Distribution Transformer Area (DTA) with EVs, distributed PV, and energy storage. It includes an upper-level model for enhancing PV absorption, reducing transformer Peak-to-Valley Differences (PVD), and determining required capacities of Energy Storage System (ESS), rectifiers, and DC transformers, and a lower-level model for minimising annual costs and deciding charging/discharging powers for both ESS and EVs. The model is solved using the Normalised Normal Constraint (NNC) method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, yielding a uniformly distributed Pareto front to balance the security and cost. Case studies demonstrate that the proposed method exhibits significant advantages in reducing the PVD in transformer loading, enhancing the absorption rate of distributed PV, and decreasing the overall annual integrated cost at a substation level.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70135","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144714653","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":"Distributed Energy Resource Behavior During Faults: Navigating Voltage Ride-Through Compliance Within the Realm of EN 50549","authors":"Hussain Sarwar Khan,&nbsp;Muhammad Kamran Khan,&nbsp;Kimmo Kauhaniemi","doi":"10.1049/gtd2.70131","DOIUrl":"10.1049/gtd2.70131","url":null,"abstract":"<p>This paper presents a comprehensive investigation into the effects of increasing inverter-based renewable energy resources (RERs) on fault-level propagation in medium voltage (MV) distribution networks (DNs). The study aims to ensure compliance with European grid codes EN 50549-1 and EN 50549-2, particularly regarding low-voltage ride-through (LVRT) requirements for distributed energy resources (DERs). A two step ahead finite control set model predictive (FCS-MPC) current control strategy for two-level inverters, along with an LVRT control algorithm and a secondary power controller to align with the grid code, is implemented. To demonstrate real-world implications, a detailed MATLAB/Simulink model of the Sundom Smart Grid in Vaasa, Finland, is developed, employing available data to replicate the actual network configuration with high fidelity. Subsequently, various penetration levels of power-electronics converter (PEC)-based generation are integrated to assess fault propagation under both weak and strong grid conditions. Results explain how higher shares of DERs can alter network fault dynamics and voltage profiles, emphasizing the importance of grid-code-compliant control schemes in managing operational and safety margins. The proposed approach provides a robust framework for utilities and operators to optimize DER integration, ensuring grid stability and reliability.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70131","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695891","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":"Optimal Operation of BESS for Maximum Use of Its Energy in Power System Load Frequency Control Considering Economic and Technical Objectives","authors":"Mohsen Darabian,&nbsp;Brahim Mohamed Mrabet,&nbsp;Abdeljelil Chammam","doi":"10.1049/gtd2.70123","DOIUrl":"10.1049/gtd2.70123","url":null,"abstract":"<p>The primary objective of this study is to propose a methodology for setting the frequency of an automatic generation control system when integrating battery energy storage systems (BESS) and wind turbines. The introduced approach leverages an energy management system (EMS) designed to minimize the operational costs of thermal units while optimizing the state of charge (SOC) levels within BESS. This EMS framework ensures optimal energy distribution between thermal units and BESS across different <b>areas</b> of the power system, enhancing SOC management and reducing associated fluctuations. To mitigate inter-area power system fluctuations, a linear quadratic controller (LQC) is employed to adjust the zero points of the proportional–integral (PI) controller finely. This two-level design begins by minimizing the state errors of the PI controller through the integral squared error approach, followed by the application of LQC as an upper-level controller to optimize the PI setpoints. Given the challenge of limited state variable availability due to measurement noise, a Kalman filter is utilized to estimate these unmeasured states. The objective functions of the EMS for economic operation and frequency adjustment are optimized using the firefly algorithm implemented in MATLAB.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70123","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695890","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":"Enhancing Wind Power Forecasting in Power Grids With Dual Attention-based LSTM Mechanism","authors":"Muhammad Naveed,&nbsp;Kaleem Ullah,&nbsp;Syed Zarak Shah,&nbsp;Waseem Akram,&nbsp;Zahid Ullah,&nbsp;Bilal Khan","doi":"10.1049/gtd2.70134","DOIUrl":"10.1049/gtd2.70134","url":null,"abstract":"<p>Power grid operators must deal with sustainable energy integration challenges because wind power supply and demand patterns show natural variability. The precise prediction of wind power supplies is critical to grid efficiency because it controls how renewable energy sources join the network system. Using long short-term memory (LSTM) networks within deep learning techniques shows high effectiveness for predicting short-term wind power forecasting. The paper presents a sophisticated dual-attention LSTM system that enhances wind power prediction accuracy. The model uses LSTM networks to detect temporal patterns and dual attention mechanisms to choose essential features that lead to improved wind power predictions during times of variable conditions. The proposed dual-attention LSTM model outperforms the current models of forecasting regarding one-step and multi-step wind power prediction. Trained and tested on Texas Wind Turbine dataset released publicly, the model produced an RMSE of 140.79 and 155.23 in single-step and multi-step forecasting, respectively, and consistently lower values of both MAE and MAPE, as compared to all baseline models. These findings reveal the value of the dual attention mechanism to manage the variable wind conditions and future directions are expected to be domain adaptation and transfer learning to enable real-time deployment, multi-site operation.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70134","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144705351","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":"Coordinated Optimization of Active Distribution Network and Multi-Microgrids Considering Voltage Robustness and Economic Efficiency: A Distributed Model Predictive Control Method","authors":"Daoxin Han,&nbsp;Wei Deng,&nbsp;Zhenxing Zhao,&nbsp;Wei Pei,&nbsp;Hao Xiao","doi":"10.1049/gtd2.70130","DOIUrl":"10.1049/gtd2.70130","url":null,"abstract":"<p>With the high penetration of renewable energy, the active distribution network (ADN) and multi-microgrids (MMGs), as emerging multi-layered energy management systems, face challenges such as voltage violations and conflicts of interest among multiple agents. To address these distributed coordinating optimization issues in the ADN-MMGs system, this paper proposes a coordinating optimization method for ADN-MMGs systems that balances voltage robustness and system economics. In the day-ahead stage, the method considers MMGs' participation in the voltage regulation ancillary service market and decentralized peer-to-peer (P2P) trading market, and baseline plans are developed for voltage stability and economic operation. In the intra-day stage, ADN and MMGs are treated as subsystems. Using voltage sensitivity matrices and consensus algorithms, a state-space-based distributed model predictive control (Di-MPC) coordination model is constructed, effectively mitigating short-term power fluctuations from renewable energy and load variability. An analysis on a modified IEEE 33-bus system demonstrates that the proposed method enhances economic efficiency and voltage robustness by coordinating subsystem energy flows. Compared to the distributed economic model predictive control (MPC) scheme, the proposed method reduces the state of charge (SOC) tracking error of MMGs by 51.21% and ensures that the deviation in planned daily operating cost for the ADN-MMGs system does not exceed 1%.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70130","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657708","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":"New Power Balance Equations for Modelling Electric Arc Furnace","authors":"Zahra Babaei,&nbsp;Haidar Samet,&nbsp;Vladimir Alexandrovich Serikov","doi":"10.1049/gtd2.70116","DOIUrl":"10.1049/gtd2.70116","url":null,"abstract":"<p>Electric arc furnaces (EAFs) are electrical networks' most significant single loads. On the other hand, harmful voltage flicker and harmonics are produced by the time-varying and nonlinear voltage-current properties of EAF. A precise EAF model is necessary to investigate the adverse effects of EAFs on power quality and potential solutions. The power balance equation is used in one of the recognised EAF models. However, this equation only includes the arc radius, not the arc length. Here, two new power balance equations are proposed, including arc radius and length. Four new EAF models are derived from the two suggested power balance equations. The proposed models are more accurate than the original power balance model. In the proposed model, in every half-cycle, the parameters are altered. Autoregressive moving average (ARMA) models are utilised to model time variations of the power balance equation parameters. The accuracy of the suggested models is assessed by evaluating the results obtained from actual EAF records at the Mobarakeh steel company in Isfahan, Iran, with their corresponding model outputs. A MATLAB code is provided to produce the time-variant model parameters.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70116","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144647310","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}