Iet Generation Transmission & Distribution最新文献

{"title":"A Multi-Stage Security Constrained Coordinated Expansion Planning of Transmission System and Energy Hubs","authors":"Sajad Davtalab,&nbsp;Behrouz Tousi,&nbsp;Yousef Allahvirdizadeh","doi":"10.1049/gtd2.70029","DOIUrl":"https://doi.org/10.1049/gtd2.70029","url":null,"abstract":"<p>This paper presents a security constrained coordinated decision-making process for optimal long-term and short-term scheduling of the transmission system (TS) and energy hubs (EHs). Energy users (EUs) across the transmission system (TS) minimize their energy costs by investing in the EHs. A three-level approach using the diagonalization algorithm is employed to evaluate the benefits of cooperation between the transmission system operator (TSO) and energy users (EUs). The proposed framework is modeled using both static and multi-stage optimization approaches to minimize the total costs of the planning, operation, emission, and expected energy not served (EENS) simultaneously for the TSO and EUs at the first and second levels, respectively. The TSO expansion planning is optimized at the first level to meet the TS capacity requirements. At the second level, the EUs at different nodes invest in the EHs based on the calculated locational marginal prices (LMPs). Once the expansion planning of the EUs is optimized, the net electrical demands at the TS nodes are updated. Then, the electrical market is cleared by the independent system operator (ISO) at the third level to update the LMPs. Finally, the strategical expansion planning of the TSO is updated at the first level.</p><p>The security of the TS and EHs is modeled considering the possibility of failure occurrence in the TS lines and energy sources in the EHs. The output power of the renewable energy resources (RESs), multi-carrier load demands, district market prices, operation cost of the thermal units, and equipment availability have uncertain nature. These uncertainties are applied to the proposed framework by a stochastic optimization framework. For evaluating the performance of the proposed model, it is implemented on the modified IEEE 30 bus and 118 bus test systems, considering a common model of the EH, consisting of photovoltaic panels (PVs), wind turbines (WTs), combined heat and power generation (CHP) units boilers, and absorption chillers. Numerical results indicate that the proposed method significantly reduces EENS and overall system costs under both static and multi-stage approaches, demonstrating its effectiveness.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689262","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":"An advanced generalized PWM strategy for the control of a 3 × n matrix converter","authors":"Mohamed Mounir Rezaoui,&nbsp;Mohamed Elbar,&nbsp;Mohamed Chaouli,&nbsp;Prabhu Paramasivam,&nbsp;Mahrous Ahmed,&nbsp;Leliso Hobicho Dabelo,&nbsp;Sherif S. M. Ghoneim","doi":"10.1049/gtd2.70016","DOIUrl":"https://doi.org/10.1049/gtd2.70016","url":null,"abstract":"<p>This work presents the essence of a scholarly effort aimed at harnessing the benefits of multi-phase induction motors in industrial sections stimulated by the rapid evolution of power electronics. The main point in this work is the adoption of matrix converters featuring a “n” phase output configuration, necessitating the development of novel control algorithms to govern the intricate switching mechanisms inherent in these converters. Among the array of algorithms under consideration, the PWM three intervals strategy emerges as a promising technique for modification and generalization to meet the needs of the 3 × n matrix converter paradigm. A comprehensive theoretical framework is demonstrated in its initial part, characterized by a meticulous exposition of formulations, mathematical derivations, and graphical representations. In this framework, the optimized output voltages designed to vary output phase configurations emanating from the specified triple input phases are used helpfully in the generalized PWM three-s intervals strategy. Subsequently, the article presents a practical demonstration focusing on the field-oriented control of multi-phase induction motors energized by multi-phase matrix converters. A rigorous analytical was performed to enhance the efficacy of the proposed generalized strategy, particularly in closed-loop control scenarios. The study undertakes a comprehensive validation process to confirm the theoretical hypotheses, thorough simulation-based assessments and experimental validation. The provided output results affirm the operational efficiency and efficacy of the proposed control strategy in its transformative potential in industrial motor control. Finally, the article confirms the intersection of power electronics and motor control in developing and validating a robust control strategy tailored to harness the advantages of multi-phase induction motors within industrial settings.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70016","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143646188","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 distributed energy resources accommodation with techno-economic benefits using cheetah optimizer","authors":"Muhammad Shaarif,&nbsp;Muhammad Yousif,&nbsp;Muhammad Numan,&nbsp;Muhammad Zubair Iftikhar,&nbsp;Izhar Us Salam,&nbsp;Thamer A. H. Alghamdi","doi":"10.1049/gtd2.13322","DOIUrl":"https://doi.org/10.1049/gtd2.13322","url":null,"abstract":"<p>The planning and operation of radial distribution networks face increasing challenges such as active power losses and voltage instability, prompting a focus on integrating renewable energy resources to mitigate these issues. This study presents a techno-economic optimization framework leveraging the cheetah optimizer, a recently introduced metaheuristic technique, to optimize the accommodation of distributed energy resource units within the IEEE 33-bus radial distribution networks utilizing MATLAB environment. Both single and multi-objective perspectives are explored, demonstrating significant reductions in active power losses, minimized voltage deviation, improved stability, and maximized economic benefits. The cheetah optimizer efficacy is showcased through notable achievements, including a 94.20% reduction in active power losses and annual savings of up to $77,933 for optimal power factor mode in multi-objective optimization, surpassing existing literature. Additionally, reliability analysis conducted with ETAP software underscores the effectiveness of distributed energy resource integration, particularly with wind turbine systems, in enhancing network reliability.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13322","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689167","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":"GAT-OPF: Robust and Scalable Topology Analysis in AC Optimal Power Flow With Graph Attention Networks","authors":"Jiale Zhang,&nbsp;Xiaoqing Bai,&nbsp;Peijie Li,&nbsp;Zonglong Weng","doi":"10.1049/gtd2.70039","DOIUrl":"https://doi.org/10.1049/gtd2.70039","url":null,"abstract":"<p>As power systems rapidly grow in scale and complexity, existing data-driven methods are limited when applied to large-scale networks due to issues with low prediction accuracy and constraint violations. This paper proposes an innovative hybrid framework, GAT-OPF, which, for the first time, combines graph attention networks (GAT) with deep neural networks (DNN) to form the GAT-DNN model, designed to dynamically adapt to topology changes in the AC optimal power flow (AC-OPF) problem. A hybrid loss function is also developed, combining prediction error with a constraint violation penalty term and incorporating a dynamic Lagrange multiplier adjustment mechanism to ensure constraint compliance throughout training. The model was tested under topology changes on the IEEE 30-bus system and validated for scalability on larger systems, including IEEE 300-bus, 1354-bus, and 9241-bus systems. The results show that the proposed model significantly enhances the computational efficiency of large-scale power systems while effectively balancing high prediction accuracy and low constraint violations without post-processing, highlighting its potential for real-time optimization in large-scale power systems.</p>","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/gtd2.70039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143638696","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":"Investigating Disturbance-Induced Misoperation of Grid-Following Inverter-Based Resources","authors":"Negar Karimipour,&nbsp;Mohammadreza F. M. Arani,&nbsp;Amir Abiri Jahromi","doi":"10.1049/gtd2.70046","DOIUrl":"https://doi.org/10.1049/gtd2.70046","url":null,"abstract":"<p>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.</p>","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}

{"title":"Probabilistic Optimization of a Nordic Smart Local Energy System: Cost and Emission Insights From 2020 to 2023","authors":"Vilppu Eloranta,&nbsp;Eero Inkeri,&nbsp;Mikko Ropo,&nbsp;Ville Sihvonen,&nbsp;Ahti Jaatinen-Värri,&nbsp;Mika Luoranen,&nbsp;Markus Salmelin,&nbsp;Nashmin Hosseinpour,&nbsp;Aki Grönman","doi":"10.1049/gtd2.70037","DOIUrl":"https://doi.org/10.1049/gtd2.70037","url":null,"abstract":"<p>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.</p>","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}

{"title":"A Physics-Data Driven Approach for Identifying Leakage Users in Low-Voltage Distribution Systems","authors":"Bin Li,&nbsp;Xiaofei Feng,&nbsp;Sheng Su,&nbsp;Peijun Zhong,&nbsp;Hao Xiao","doi":"10.1049/gtd2.70040","DOIUrl":"https://doi.org/10.1049/gtd2.70040","url":null,"abstract":"<p>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.</p>","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}

{"title":"Blind Source Separation in Sustainable Energy Systems Using Free Component Analysis Considering Power-usage Interdependence","authors":"Shuyan Ma,&nbsp;Xing He,&nbsp;Yechen Han,&nbsp;Qian Ai,&nbsp;Robert Qiu","doi":"10.1049/gtd2.70035","DOIUrl":"https://doi.org/10.1049/gtd2.70035","url":null,"abstract":"<p>Blind source separation is crucial for improving situational awareness in modern energy systems, particularly a sustainable one with extensive integration of distributed energy resources (DERs). DER power-usage patterns, shaped by climate and social factors, exhibit significant interdependence. This poses challenges for traditional methods such as independent component analysis, which rely on assumptions of independence. In this context, our work proposes a free component analysis (FCA) framework. FCA, rooted in free probability and random matrix theory, employs (free) non-commutative matrix variables, departing from traditional (independent) scalar variables. This approach effectively captures spatial-temporal correlations, offering deeper insights into DER cluster behaviours and further informing decision-making within sustainable energy systems featuring coupled DERs. Case studies using both simulated data and field data validate the effectiveness of the proposed framework.</p>","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/gtd2.70035","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632968","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":"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":"<p><b>RETRACTION</b>: 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. <i>IET Generation, Transmission &amp; Distribution</i>. 18, 4180–4191 (2024). https://doi.org/10.1049/gtd2.12914</p><p>The above article, published online on 24^th 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 &amp; Sons Ltd.</p><p>This article was published as part of a guest-edited special issue. Following an investigation, the IET, John Wiley &amp; 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.</p>","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}

{"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":"<p><b>RETRACTION</b>: 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. <i>IET Generation, Transmission &amp; Distribution</i>. 18, 4168–4179 (2024). https://doi.org/10.1049/gtd2.12910</p><p>The above article, published online on 27^th 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 &amp; Sons Ltd.</p><p>This article was published as part of a guest-edited special issue. Following an investigation, the IET, John Wiley &amp; 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.</p>","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}