Iet Generation Transmission & Distribution最新文献_第6页

Investigating Disturbance-Induced Misoperation of Grid-Following Inverter-Based Resources 基于电网跟踪逆变器的资源干扰误操作研究

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2025-03-18 DOI: 10.1049/gtd2.70046

Negar Karimipour, Mohammadreza F. M. Arani, Amir Abiri Jahromi

{"title":"Investigating Disturbance-Induced Misoperation of Grid-Following Inverter-Based Resources","authors":"Negar Karimipour, Mohammadreza F. M. Arani, Amir Abiri Jahromi","doi":"10.1049/gtd2.70046","DOIUrl":"https://doi.org/10.1049/gtd2.70046","url":null,"abstract":"The rapid integration of grid-following inverter-based resources (GFL-IBRs) has increased the importance of their dynamic behaviour during disturbances. Simultaneously, there are increasing number of reports about the misoperation or inadvertent disconnection of GFL-IBRs during disturbances. This paper attempts to shed light on one of the potential root causes of disturbance-induced misoperations of GFL-IBRs. A framework is presented to quantify voltage drop and voltage phase angle jump that appear at the terminals of GFL-IBRs immediately after the inception of various events in the grid such as faults, and tripping of generators and transmission lines. We demonstrate voltage drop and voltage phase angle jump in the upstream grid due to various disturbances may transform into severe voltage drop and voltage phase angle jump at the terminals of GFL-IBRs. The combination of voltage drop and voltage phase angle jump that appear at the terminals of GFL-IBRs is identified as one of the root causes of their misoperation. Therefore, system-wide studies are required to evaluate the dynamic performance of GFL-IBRs rather than sole compliance with standards. The importance of system-wide studies is demonstrated through IEEE 39-bus test system. The impact of voltage drop and voltage phase angle jump in the upstream grid on the dynamic performance of GFL-IBRs is demonstrated using electromagnetic transient studies.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70046","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143638697","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

Probabilistic Optimization of a Nordic Smart Local Energy System: Cost and Emission Insights From 2020 to 2023 北欧智能地方能源系统的概率优化：2020 - 2023年成本和排放洞察

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2025-03-18 DOI: 10.1049/gtd2.70037

Vilppu Eloranta, Eero Inkeri, Mikko Ropo, Ville Sihvonen, Ahti Jaatinen-Värri, Mika Luoranen, Markus Salmelin, Nashmin Hosseinpour, Aki Grönman

{"title":"Probabilistic Optimization of a Nordic Smart Local Energy System: Cost and Emission Insights From 2020 to 2023","authors":"Vilppu Eloranta, Eero Inkeri, Mikko Ropo, Ville Sihvonen, Ahti Jaatinen-Värri, Mika Luoranen, Markus Salmelin, Nashmin Hosseinpour, Aki Grönman","doi":"10.1049/gtd2.70037","DOIUrl":"https://doi.org/10.1049/gtd2.70037","url":null,"abstract":"Smart local energy systems (SLESs) are central to enhancing localization and decentralization of the energy sector. Although these systems are widely studied in literature, Nordic conditions and probabilistic approaches have remained out of the spotlight. This study analyzes economically optimized configurations for a Nordic SLES. We define the cost levels at which various technologies become feasible to invest in. We also evaluate the life cycle emission reductions achievable from these systems. Our case study utilizes Monte Carlo optimization with integrated economic and emission models. The results of the 2000 cost-optimized SLES configurations for the years 2020–2023 indicated that compared to the baseline, the levelized cost of electricity reduced in 98% of the cases, while the specific greenhouse gas emissions reduced in 97% of the cases. The mean positive carbon handprint was 44%. Maximum costs to deploy technologies were 30 €/MWh for wind power, 500 €/kW for solar power, and 120 €/kWh for battery storage. Thermal energy storage was commonly utilized. The outcomes highlight the importance of sector integration in the context of SLESs, as the optimized cases achieved large emission reductions especially in the heat carrier. The results indicate that Nordic SLESs could be economically viable for emission mitigation.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70037","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143645914","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 Physics-Data Driven Approach for Identifying Leakage Users in Low-Voltage Distribution Systems 低压配电系统漏电用户识别的物理数据驱动方法

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2025-03-17 DOI: 10.1049/gtd2.70040

Bin Li, Xiaofei Feng, Sheng Su, Peijun Zhong, Hao Xiao

{"title":"A Physics-Data Driven Approach for Identifying Leakage Users in Low-Voltage Distribution Systems","authors":"Bin Li, Xiaofei Feng, Sheng Su, Peijun Zhong, Hao Xiao","doi":"10.1049/gtd2.70040","DOIUrl":"https://doi.org/10.1049/gtd2.70040","url":null,"abstract":"Wiring errors, caused by improper connections between neutral lines and protective earth (PE) lines due to negligence by electrical technicians, are a prevalent type of earth fault in low-voltage distribution systems (LVDS). These errors can cause the load current of affected users to flow back to the transformer's neutral point via the PE line as residual current, leading to nuisance tripping of residual current devices (RCDs). To maintain normal power supply, users may disable RCDs, which compromises safety and can result in severe hazards such as electric shocks and electrical fires. This paper proposes a method to locate users with wiring errors by leveraging abundant metering data within LVDS and utilising leakage fault analysis devices. We construct a linear model of residual current considering multiple error scenarios. Based on this model, a multiple linear regression (MLR) approach is developed to identify and locate anomalous users by analysing the correlation between their load currents and the residual current of the LVDS. Experimental results under various scenarios validate the performance of the proposed method.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70040","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632835","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

Blind Source Separation in Sustainable Energy Systems Using Free Component Analysis Considering Power-usage Interdependence 基于自由分量分析的可持续能源系统的盲源分离

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2025-03-17 DOI: 10.1049/gtd2.70035

Shuyan Ma, Xing He, Yechen Han, Qian Ai, Robert Qiu

引用次数: 0

RETRACTION: Fixed head hydrothermal scheduling considering uncertainty of load demand and renewable energy sources 缩回：考虑负荷需求不确定性和可再生能源的固定水头热液调度

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2025-03-16 DOI: 10.1049/gtd2.70044

{"title":"RETRACTION: Fixed head hydrothermal scheduling considering uncertainty of load demand and renewable energy sources","authors":"","doi":"10.1049/gtd2.70044","DOIUrl":"https://doi.org/10.1049/gtd2.70044","url":null,"abstract":"RETRACTION: M. Basu, S. Das, C. Jena, J. Ogale, A. Ali, and B. Khan: Fixed head hydrothermal scheduling considering uncertainty of load demand and renewable energy sources. IET Generation, Transmission & Distribution. 18, 4180–4191 (2024). https://doi.org/10.1049/gtd2.12914The above article, published online on 24th June 2023 in Wiley Online Library (wileyonlinelibrary.com) has been retracted by agreement between the journal's Editors-in-Chief; Christian Rehtanz and Federico Milano; the Institution of Engineering and Technology; and John Wiley & Sons Ltd.This article was published as part of a guest-edited special issue. Following an investigation, the IET, John Wiley & Sons Ltd and the journal have determined that the article was not reviewed in line with the journal's peer review standards and there is evidence that the peer review process of the article underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content and have taken the decision to retract the article. The authors were informed of the decision and the corresponding author disagreed with the retraction.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70044","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632948","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

RETRACTION: Tolerable random interruption duration based reliability estimation of stand alone hybrid renewable energy system by network reduction and sequential Monte Carlo simulation 摘要：基于网络约简和序贯蒙特卡罗仿真的独立混合可再生能源系统可容忍随机中断时间可靠性估计

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2025-03-16 DOI: 10.1049/gtd2.70043

{"title":"RETRACTION: Tolerable random interruption duration based reliability estimation of stand alone hybrid renewable energy system by network reduction and sequential Monte Carlo simulation","authors":"","doi":"10.1049/gtd2.70043","DOIUrl":"https://doi.org/10.1049/gtd2.70043","url":null,"abstract":"RETRACTION: A. S. Koshti, A. Verma, R. Arya, C. Roy, L. D. Arya, S. C. Choube, and B. Khan: Tolerable random interruption duration based reliability estimation of stand alone hybrid renewable energy system by network reduction and sequential Monte Carlo simulation. IET Generation, Transmission & Distribution. 18, 4168–4179 (2024). https://doi.org/10.1049/gtd2.12910The above article, published online on 27th June 2023 in Wiley Online Library (wileyonlinelibrary.com) has been retracted by agreement between the journal's Editors-in-Chief; Christian Rehtanz and Federico Milano; the Institution of Engineering and Technology; and John Wiley & Sons Ltd.This article was published as part of a guest-edited special issue. Following an investigation, the IET, John Wiley & Sons Ltd and the journal have determined that the article was not reviewed in line with the journal's peer review standards and there is evidence that the peer review process of the article underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content and have taken the decision to retract the article. The authors were informed of the decision and the corresponding author disagreed with the retraction.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632993","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

RETRACTION: Cross-country high impedance fault diagnosis scheme for unbalanced distribution network employing detrended cross-correlation 摘要：利用去趋势相互关的不平衡配电网跨国高阻抗故障诊断方案

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2025-03-16 DOI: 10.1049/gtd2.70045

{"title":"RETRACTION: Cross-country high impedance fault diagnosis scheme for unbalanced distribution network employing detrended cross-correlation","authors":"","doi":"10.1049/gtd2.70045","DOIUrl":"https://doi.org/10.1049/gtd2.70045","url":null,"abstract":"RETRACTION: P. Sinha, K. Paul, S. Chatterjee, F. P. García Márquez, J. Ogale, A. Ali, and B. Khan: Cross-country high impedance fault diagnosis scheme for unbalanced distribution network employing detrended cross-correlation. IET Generation, Transmission & Distribution\u0000. 18, 4192–4208 (2024). https://doi.org/10.1049/gtd2.12911The above article, published online on 24th June 2023 in Wiley Online Library (wileyonlinelibrary.com) has been retracted by agreement between the journal's Editors-in-Chief; Christian Rehtanz and Federico Milano; the Institution of Engineering and Technology; and John Wiley & Sons Ltd.This article was published as part of a guest-edited special issue. Following an investigation, the IET, John Wiley & Sons Ltd and the journal have determined that the article was not reviewed in line with the journal's peer review standards and there is evidence that the peer review process of the article underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content and have taken the decision to retract the article. The authors were informed of the decision and the corresponding author disagreed with the retraction.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70045","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632947","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

Harmonic Resonance Monitoring in Distribution Networks Considering Load Variation and Possible Network Configurations 考虑负荷变化和可能网络配置的配电网谐波谐振监测

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2025-03-13 DOI: 10.1049/gtd2.70042

Hossein Ansari, Saeid Esmaeili, Sina Shakeri, Mohammad Hossein Rezaeian Koochi

{"title":"Harmonic Resonance Monitoring in Distribution Networks Considering Load Variation and Possible Network Configurations","authors":"Hossein Ansari, Saeid Esmaeili, Sina Shakeri, Mohammad Hossein Rezaeian Koochi","doi":"10.1049/gtd2.70042","DOIUrl":"https://doi.org/10.1049/gtd2.70042","url":null,"abstract":"In this paper, three methods based on harmonic resonance mode analysis are proposed for placing PQMs to monitor all harmonic resonance conditions in a power system. These methods compute the optimal number and sites of PQMs for varied load profiles and network configurations such that all harmonic resonance conditions would be monitored. This paper introduces the harmonic resonance severity index that enables electric network owners to place PQMs in a way to monitor only worst-case harmonic resonance conditions. Also, in this paper, the harmonic resonance observability index is introduced, enabling electrical owners to afford suitable numbers of PQMs based on their budget limitations. The efficiency of the proposed methods has been examined on test systems. The results indicate that using the proposed approach, all harmonic resonance conditions can be captured with an optimal number of PQMs. The proposed approaches also operate with system uncertainties present, which overcomes one of the major weaknesses of the prior approaches. It observes the bus voltage if either this bus or one of the adjacent buses is equipped with at least one PMQ, reduces the number of PQMs, and rearranges their locations to develop a cost-effective strategy, addressing a long-standing challenge.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70042","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612555","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

Robust Clustering and Anomaly Detection of User Electricity Consumption Behavior Based on Correntropy 基于相关熵的用户用电行为鲁棒聚类与异常检测

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2025-03-10 DOI: 10.1049/gtd2.70027

Teng Zhang, XuSheng Qian, Yu Zhou, GaoJun Xu, Ming Wu

{"title":"Robust Clustering and Anomaly Detection of User Electricity Consumption Behavior Based on Correntropy","authors":"Teng Zhang, XuSheng Qian, Yu Zhou, GaoJun Xu, Ming Wu","doi":"10.1049/gtd2.70027","DOIUrl":"https://doi.org/10.1049/gtd2.70027","url":null,"abstract":"Anomaly detection in power systems is crucial for ensuring the safety and stability of electrical grids. Traditional methods struggle to extract meaningful features from electricity consumption data due to significant differences in usage patterns across various user types, such as residential and industrial users. Applying a single model for all user categories increases feature complexity and computational demands. Additionally, non-Gaussian outliers caused by equipment and measurement noise can significantly deviate from normal data patterns, making them difficult to filter using standard methods. To address these challenges, this paper proposes a robust, user-type-specific anomaly detection method. After data preprocessing, a correntropy-based K-means clustering method is used to separate users with noisy data. A two-stage detection framework combining fuzzy logic and a convolutional neural network (CNN)-long short-term memory (LSTM) model enhances both detection efficiency and accuracy. The experiments were conducted using open-source datasets, and the results demonstrated that our method achieved an accuracy of 95%, which is approximately 4% higher than the traditional Isolation Forest method. This indicates that our approach effectively balances efficiency and accuracy in anomaly detection, with its generalizability further validated on an additional dataset.","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70027","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594907","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

Review of Modelling and Optimal Control Strategy for Virtual Energy Storage 虚拟储能系统建模与最优控制策略研究进展

IF 2 4区工程技术

Iet Generation Transmission & Distribution Pub Date : 2025-03-10 DOI: 10.1049/gtd2.70031

Bowen Zhou, Yichen Jiang, Yanhui Zhang, Guangdi Li, Peng Gu, Boyu Liu

引用次数: 0