Iet Generation Transmission & Distribution最新文献

{"title":"Design and evaluation of multidimensional CNN simulation framework against synchrophasor data spoofing attacks and correction for cyber-resiliency in power system","authors":"Robert Nobili Britto Thomas,&nbsp;Venkatesh Thirugnanasambandam,&nbsp;Manikandan Senthur,&nbsp;Manusri Rekshana","doi":"10.1049/gtd2.13348","DOIUrl":"https://doi.org/10.1049/gtd2.13348","url":null,"abstract":"<p>The increasing demand on synchronized measurements obtained from phasor measurement units (PMUs) has further increased potential threats, including data spoofing attacks. Such attacks on the synchronized measurements might greatly undermine the dynamic state estimation and important power system applications. This work proposes an integrated framework consisting of cyber physical testbed and multidimensional convolutional neural network (CNN) simulation framework to classify the data spoofing attacks on the generated real world synchrophasor data. This work uses a source authentication-based detection technique by extracting the spatial fingerprint information from PMU data. This information is provided as inputs to the multi-dimensional CNN (MD CNN) simulation framework. Finally, a robust correction algorithm using generative adversarial network (GAN) for reconstruction of spoofed PMU signal is proposed to eliminate bad measurements and enhance the integrity and reliability of synchrophasor data. Finally, the results of the proposed MD CNN classification framework and GAN based signal reconstruction algorithm are validated against the results obtained using traditional methods to validate the effectiveness of the proposed approach. Thus, the proposed framework aims at ensuring the cyber resilience of power grids to ensure its safe and reliable operation.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13348","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741662","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":"Impact Analysis of Power Based Tariff-Driven Peak Load Shaving on Electricity Distribution Networks and Distribution Business","authors":"Jouni Haapaniemi,&nbsp;Ville Tikka,&nbsp;Otto Räisänen,&nbsp;Juha Haakana,&nbsp;Jukka Lassila","doi":"10.1049/gtd2.70036","DOIUrl":"https://doi.org/10.1049/gtd2.70036","url":null,"abstract":"<p>The present distribution grid tariffs are under a major renewal process, or a renewal is in consideration, as the traditional tariffs do not reflect well enough the cost structure of the distribution grids. Power-based tariffs (PBTs) have been proposed as an alternative that could lead to the more efficient use of energy resources and the whole energy system. In this paper, an analysis is made to estimate the electricity distribution grid impacts of PBT-based customer-side peak load shaving on the tariff development. The effects are estimated under different PBT pricing schemes. The effects are simulated on a real distribution network using customers' hourly automatic meter reading consumption data. The effects of PBT-incentivised peak load shaving are analysed at different levels of the distribution grid. The results show that power-based tariffs can provide a significant incentive to customers to invest in a peak-shaving battery energy storage system (BESS), but the benefits from reduced distribution network peak loads can be lower than the efforts required from the customers. On the other hand, if BESSs are purchased for other purposes, PBT-based peak shaving can reduce DSOs' risks, and the benefits for grid load rates can be gained with less effort.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70036","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143717226","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":"Reliability Evaluation Method for Power Distribution Systems With Renewable Distributed Generations and Adjustable Loads","authors":"Gengfeng Li,&nbsp;Dingmao Zhang,&nbsp;Shaohua Sun,&nbsp;Zhaohong Bie","doi":"10.1049/gtd2.70038","DOIUrl":"https://doi.org/10.1049/gtd2.70038","url":null,"abstract":"<p>With the continuous development of distribution systems, the integration of various distributed generations (DGs) and adjustable loads has increased system uncertainty, placing higher demands on distribution system reliability evaluation. The accuracy of traditional reliability evaluation methods is poor when assessing the reliability of distribution systems that incorporate renewable DGs and adjustable loads. To address this issue, this paper proposes a reliability evaluation method for distribution systems that include multiple types of DGs and adjustable loads. Initially, models for lines, renewable DGs, and loads are established. Then, adjustable loads are classified and their impact on system reliability is analysed. Subsequently, based on the Monte Carlo simulation method, a framework for reliability evaluation of the distribution system considering multiple DGs and adjustable loads is proposed and reliability indices reflecting the influence of adjustable loads on the system reliability are also proposed. Finally, a case study is conducted using the modified IEEE 123-node test system to verify the effectiveness of the proposed method, showing that the integration of renewable DGs and adjustable loads can enhance the reliability of the distribution system.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70038","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707533","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 Innovative Approach for Inertia Estimation in Power Grids: Integrating ANN and Equal Area Criterion","authors":"Shiva Amini,&nbsp;Hêmin Golpîra,&nbsp;Hassan Bevrani,&nbsp;Jamal Moshtagh","doi":"10.1049/gtd2.70041","DOIUrl":"https://doi.org/10.1049/gtd2.70041","url":null,"abstract":"<p>The integration of renewable energy sources (RESs) into power grids presents significant challenges to system stability, primarily due to the reduced inertia typically supplied by synchronous generators (SG). This study addresses the urgent need for accurate and real-time inertia estimation methods to ensure reliable grid operation amid evolving dynamic conditions. An advanced algorithm is proposed, which fuses artificial neural networks with the Modified Equal Area Criterion and concepts of kinetic energy. By incorporating the maximum mechanical power as a novel input feature, the methodology enhances the accuracy of inertia estimation. Additionally, a new index for identifying optimal fault locations is introduced, further refining precision. This research potentially revolutionises grid monitoring and control by delivering robust, noise-resistant and computationally efficient real-time inertia estimates. Key applications include real-time frequency management and contingency planning within modern power systems characterised by high RES penetration. Validation of the proposed approach is conducted through extensive simulations on the IEEE 39-bus New England test system, demonstrating consistently low estimation errors (less than 1%) and superior performance compared to traditional methodologies.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70041","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689349","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":"Parameterising Local Reactive Power Control Characteristics of Distributed Energy Resources Through Time Series Based Optimal Power Flow Calculations","authors":"Manuel Schwenke,&nbsp;Jutta Hanson","doi":"10.1049/gtd2.70048","DOIUrl":"https://doi.org/10.1049/gtd2.70048","url":null,"abstract":"<p>This paper presents a method for determining local reactive power control characteristics for distributed energy resources. Based on historical time series, an optimal reactive power dispatch is calculated. The optimal reactive power dispatch minimises a multi-criteria objective function that allows the reduction of grid losses while complying with a desired vertical reactive power exchange with the overlaid grid and with operational constraints. From the resulting optimal operating points, individual reactive power control characteristics can be determined by piecewise linear regression and then be clustered to reduce the complexity of the grid planning process. The method thus allows the integration of the information contained in the historical time series on the volatile power flow behaviour and offers the possibility of systematic parameter determination. In contrast, conventional grid planning uses empirical values or conservative estimates. In contrast to offline or online optimisations during operation; however, no real-time capable information and communication infrastructure is required. To validate the performance of the method, operation with the cluster control characteristics is compared with offline optimisation and simple parameterisation approaches for local reactive power control characteristics.</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/gtd2.70048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689261","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 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}