IET Smart Grid最新文献_第2页

Advances in non-intrusive type I load monitoring using R-statistic steady-state detection and subtractive clustering 利用 R 统计稳态检测和减法聚类的非侵入式 I 类负荷监测进展情况

IF 2.4

IET Smart Grid Pub Date : 2025-01-02 DOI: 10.1049/stg2.12205

Luigi Pio Savastio, Elia Brescia, Enrico Elio De Tuglie, Massimo Tipaldi, Giuseppe Leonardo Cascella, Michele Surico, Giovanni Conte, Andrea Polichetti

{"title":"Advances in non-intrusive type I load monitoring using R-statistic steady-state detection and subtractive clustering","authors":"Luigi Pio Savastio, Elia Brescia, Enrico Elio De Tuglie, Massimo Tipaldi, Giuseppe Leonardo Cascella, Michele Surico, Giovanni Conte, Andrea Polichetti","doi":"10.1049/stg2.12205","DOIUrl":"https://doi.org/10.1049/stg2.12205","url":null,"abstract":"This paper introduces a novel unsupervised method that uses advanced clustering techniques based on power and time features to identify Type 1 electrical load profiles within aggregated power measurements. The adoption of the R-statistic algorithm for the detection of ON/OFF events enhances the algorithm's performance, enabling it to capture and accurately reconstruct both slow and fast dynamic loads. A double clustering approach also guarantees that signals exhibiting identical power levels but different durations are distinctly recognised, allowing for accurate identification of individual appliances within aggregated power data. This way, the combination of clustering techniques with R-statistic improves the granularity of load profile analysis and overcomes traditional barriers in power consumption monitoring. Both simulation and experimental results are presented to evaluate and compare the performance of the proposed method to existing approaches from the literature.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12205","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143396871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Clean generations in sub-synchronous resonance damping: Mathematical modelling, control, and analysis of tidal power generation

IF 2.4

IET Smart Grid Pub Date : 2024-12-30 DOI: 10.1049/stg2.12204

Maghsoud Mokhtari, Iraj Faraji Davoudkhani, Sajjad Golshannavaz, Amin Yazdaninejadi

{"title":"Clean generations in sub-synchronous resonance damping: Mathematical modelling, control, and analysis of tidal power generation","authors":"Maghsoud Mokhtari, Iraj Faraji Davoudkhani, Sajjad Golshannavaz, Amin Yazdaninejadi","doi":"10.1049/stg2.12204","DOIUrl":"https://doi.org/10.1049/stg2.12204","url":null,"abstract":"The increased deployment of doubly fed induction generator (DFIG)-based tidal power generation systems (TPGSs) offers a promising avenue for clean energy generation within smart grid frameworks. This technology not only contributes to renewable energy production but also can tackle the challenges associated with power system stability, particularly concerning sub-synchronous resonance (SSR). Therefore, the contribution of TPGSs on power system stability needs to be modelled and analysed in depth. Given a special emphasis on SSR damping, this article undertakes the mathematical modelling and control of energy system in conjunction with the utility-scale DFIG-based TPGS where the parameters of auxiliary SSR damping controller implemented on main control loops of TPGS are optimised. To evaluate the effectiveness of the proposed control strategies, two primary analytical methods are employed. The eigenvalue and fast Fourier transform analyses are used to assess the efficiency of the proposed control strategy on SSR suppression. Extensive simulation studies, performed on IEEE second benchmark test-system, are devised to interrogate the performance of DFIG-based TPGS on stability enhancement. Results are discussed in depth.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12204","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143397384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing power grid management and incident response mechanisms through consortium blockchain

IF 2.4

IET Smart Grid Pub Date : 2024-12-20 DOI: 10.1049/stg2.12203

Md. Mainul Islam, Rachad Atat, Muhammad Ismail, Katherine R. Davis, Erchin Serpedin

{"title":"Enhancing power grid management and incident response mechanisms through consortium blockchain","authors":"Md. Mainul Islam, Rachad Atat, Muhammad Ismail, Katherine R. Davis, Erchin Serpedin","doi":"10.1049/stg2.12203","DOIUrl":"https://doi.org/10.1049/stg2.12203","url":null,"abstract":"Enhancing the resilience and reliability of power grids is crucial amid rising cyber threats and system complexities. To address these challenges, this paper proposes an energy-efficient, consortium blockchain-based global alarm system for power grid management. Using smart contracts and the proof of-authority consensus algorithm, the alarm system triggers global alarms upon detecting local anomalies, ensuring a prompt response to partition the power grid and mitigate failures. The effectiveness is validated by simulating the Iberian power system with 15 providers from various regions. Key metrics, such as load shedding, damage reduction, energy consumption, latency, and transaction costs, are used to assess the performance. Through simulations, we show that the blockchain-based system effectively limits the damage propagation and the load shedding during cascading failures by delaying the onset of instability and maintaining lower damage levels compared to non-blockchain scenarios. Our investigations reveal that the proposed global alarm mechanism reduces the damage and load shedding by up to 29% and 87%, respectively, showcasing its potential for preventing widespread outages.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12203","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143397388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Do we need a data sharing infrastructure for the energy sector?

IF 2.4

IET Smart Grid Pub Date : 2024-12-20 DOI: 10.1049/stg2.12196

Furong Li, Nigel Turvey, Lewis Dale, John Scott, Julian Padget, Isaac Flower, Jennifer R. Fitzpatrick, Nico Ostler, Rob Oldaker, Simon Yeo

{"title":"Do we need a data sharing infrastructure for the energy sector?","authors":"Furong Li, Nigel Turvey, Lewis Dale, John Scott, Julian Padget, Isaac Flower, Jennifer R. Fitzpatrick, Nico Ostler, Rob Oldaker, Simon Yeo","doi":"10.1049/stg2.12196","DOIUrl":"https://doi.org/10.1049/stg2.12196","url":null,"abstract":"Diversifying and decarbonising energy production by investing in renewables and clean energy is the UK Government's blueprint to power Britain from Britain. Technological developments and deployment are progressing rapidly, however, the whole-system approach—bringing together organisations across the traditional boundaries to provide the country with an increasing capability to source affordable, clean and home-grown energy—is still lacking. A key barrier to the whole-system approach is lack of a data sharing infrastructure (DSI), which allows standardised and interoperable data to be securely shared between key stakeholders, helping to align giga watt, mega watt and kilo watt renewable and clean energy with end-user demand. Development of a DSI covering the entire problem and organisation space is a complex and costly undertaking. This paper advocates for a minimum viable product (MVP) that takes an early, continuous engagement of influencing and impacting stakeholders, facilitates the discovery of desired system functional properties at the earliest possible stage of system development to meet diverse users' needs, mitigate potential risks, and inform the future development. If an MVP offers genuine benefits for early adoptions and the opportunity to address mission critical challenges, it will propel mass collaboration and innovation to accelerate net zero transition and green growth.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12196","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143397389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep learning-based barrier-function super-twisting sliding mode control for integrating renewables in smart grid

IF 2.4

IET Smart Grid Pub Date : 2024-12-17 DOI: 10.1049/stg2.12201

Hammad Armghan, Yinliang Xu, Yixun Xue, Naghmash Ali

{"title":"Deep learning-based barrier-function super-twisting sliding mode control for integrating renewables in smart grid","authors":"Hammad Armghan, Yinliang Xu, Yixun Xue, Naghmash Ali","doi":"10.1049/stg2.12201","DOIUrl":"https://doi.org/10.1049/stg2.12201","url":null,"abstract":"This study presents a two-step controller design for integrating wind and photovoltaic energy systems into the smart grid. In the first stage, an enhanced deep neural network (DNN), optimised by particle swarm optimisation and a genetic algorithm, is employed to generate maximum power point (MPP) targets for both wind and solar systems. The DNN incorporates advanced features like hyperparameter tuning, softmax attention, dropout, and early stopping to improve prediction accuracy and prevent overfitting. In the second stage, a barrier-function-based adaptive super-twisting sliding mode controller is developed to track the MPP and maintain stable DC bus voltage. This controller effectively reduces chattering and operates without requiring detailed knowledge of disturbance limits. The proposed design aims to maximise power extraction, ensure DC bus voltage stability, and enable smooth power delivery to the grid. MATLAB simulations and real-time hardware testing validate the controller's performance, demonstrating significant improvements over traditional methods.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12201","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143396970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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 new approach to manage the connection queue

IF 2.4

IET Smart Grid Pub Date : 2024-12-12 DOI: 10.1049/stg2.12200

Nicolas Ostler, Furong Li, Lewis Dale

{"title":"A new approach to manage the connection queue","authors":"Nicolas Ostler, Furong Li, Lewis Dale","doi":"10.1049/stg2.12200","DOIUrl":"https://doi.org/10.1049/stg2.12200","url":null,"abstract":"The connection queue has seen unparalleled growth over the last 24 months. With the record number of connection agreement applications representing a pivotal time for system development as we drive investment that will enable us to transition into an electrified future. The authors look to address challenges posed to the connection queue through congestion management-based techniques. Conducting a top down approach, the authors first visualise the state of the queue. Observing highest growth in pure storage based applications distributed close to traditional load centres, followed by wind projects along the East Coast and Northern Scotland. Supporting close analysis is performed on the representative B6 boundary. The authors compare methodologies, validate a process for the attribution of congestion cost and quantify the value of investment given by unit power changes. Finding that most significant value of investment in storage lies in the Southeast of England and the North of Scotland. This reflects the identified current state of constraint and most efficient current utilisation of available capacity. These approaches have been aligned with current system thinking and progress towards a new industry data sharing standard, forming strategy by which we look to transition the energy system and country into a decarbonised future.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 6","pages":"1064-1073"},"PeriodicalIF":2.4,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12200","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143252489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Image processing-based noise-resilient insulator defect detection using YOLOv8x

IF 2.4

IET Smart Grid Pub Date : 2024-12-08 DOI: 10.1049/stg2.12199

Shagor Hasan, Md. Abdur Rahman, Md. Rashidul Islam, Animesh Sarkar Tusher

{"title":"Image processing-based noise-resilient insulator defect detection using YOLOv8x","authors":"Shagor Hasan, Md. Abdur Rahman, Md. Rashidul Islam, Animesh Sarkar Tusher","doi":"10.1049/stg2.12199","DOIUrl":"https://doi.org/10.1049/stg2.12199","url":null,"abstract":"Accurate and efficient insulator defect detection is critical for power grid reliability, but it can be affected by the presence of noises in captured images and can be difficult to employ for real-time operation due to the slow processing of the detection scheme. This paper proposes a novel framework based on the YOLOv8x object detection scheme, addressing the challenge of detecting small defects in complex aerial images and providing a noise mitigation scheme. A Gaussian blur and Laplacian sharpening-based hybrid scheme is proposed to mitigate the impacts of noises in insulator images. Experimental results indicate that the proposed framework can achieve a mean average precision (mAP) of 98.4% on noise-free images, surpassing benchmark models, such as YOLOv5x and YOLOv7 by 2.1% and 3.9%, respectively. Also, while the performance of a conventional system can decrease to a mAP of 93.3% in the worst case, the implementation of the proposed mitigation scheme ensures a mAP of 96.7% for that case. With an inference speed of 56.9 ms per image, this approach offers a promising solution for real-time power line inspection, contributing to enhanced power grid maintenance and safety.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 6","pages":"1036-1053"},"PeriodicalIF":2.4,"publicationDate":"2024-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12199","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143248956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent islanding detection in smart microgrids using variance autocorrelation function-based modal current envelope

IF 2.4

IET Smart Grid Pub Date : 2024-12-05 DOI: 10.1049/stg2.12197

Shanzah Naseem, Sadiq Ahmad, Saddam Aziz, Muhammad Ali, Kazi N. Hasan, Ayaz Ahmad, Abdullah Shoukat

{"title":"Intelligent islanding detection in smart microgrids using variance autocorrelation function-based modal current envelope","authors":"Shanzah Naseem, Sadiq Ahmad, Saddam Aziz, Muhammad Ali, Kazi N. Hasan, Ayaz Ahmad, Abdullah Shoukat","doi":"10.1049/stg2.12197","DOIUrl":"https://doi.org/10.1049/stg2.12197","url":null,"abstract":"Islanding detection is a critical issue in grid-connected distributed microgrid systems. Distributed generation in the current power system has caused many challenges. Consequently, detecting quick and effective islanding is the most critical issue to minimise equipment failure, avoid danger, and maintain grid safety. There are various techniques for islanding identification in microgrids. Three classifications have been applied to categorise these strategies, which are: active, passive, and hybrid. This paper proposes and demonstrates an efficient and accurate approach to islanding detection based on the Variance Autocorrelation Function of a Modal Current Envelope (VAMCE) technique. Demodulation techniques including synchronous real demodulation, square law demodulation, asynchronous complex square law demodulation, and the quadrature demodulation technique are employed to detect the envelope of the 3-phase current signal. The VAMCE methodology is better suited for islanding detection because of its response to current sensitivity under islanding scenarios but not under normal conditions. Several simulations under various settings, including normal and islanded scenarios are used to analyse this method. These simulations have demonstrated different situations, such as when the system works normally and when it does not. The VAMCE along with the quadrature demodulation technique outperforms the others. The proposed solution is not only more accurate but also much faster compared to other methods. The proposed approach can identify normal and islanded situations in just 0.4 s.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 6","pages":"1019-1035"},"PeriodicalIF":2.4,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12197","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143248619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Using assurance frameworks to manage the risks and uncertainties of an energy sector digital spine

IF 2.4

IET Smart Grid Pub Date : 2024-12-05 DOI: 10.1049/stg2.12195

Henry James Thraves, Anna Theoharis, Wai Yan Sonia Pang, Graham Faiz, Matthew Celnik

{"title":"Using assurance frameworks to manage the risks and uncertainties of an energy sector digital spine","authors":"Henry James Thraves, Anna Theoharis, Wai Yan Sonia Pang, Graham Faiz, Matthew Celnik","doi":"10.1049/stg2.12195","DOIUrl":"https://doi.org/10.1049/stg2.12195","url":null,"abstract":"The energy transition requires a profound transformation of the entire energy system. The adoption of diverse, distributed renewable energy sources into the energy mix requires many assets, actions, stakeholders, and decisions to communicate with each other. The digital spine can serve as the energy system's connective tissue, enabling secure data sharing and enhancing visibility across all energy stakeholders. This will promote collaboration, innovation, and informed decision-making within the UK's energy sector. However, significant risks accompany this shift, including data quality and security, organisational readiness, and the complexity and scalability of the digital infrastructure. This report will discuss these risks and suggest mitigation measures to promote trust in the digital spine. Only by achieving stakeholder buy-in through trust of the digital spine will this digital technology achieve widespread acceptance. Digital assurance helps to generate an ecosystem of trust built on transparent arguments about consequences and uncertainty for digital technologies, such as the digital spine. DNV believes that their suite of recommend practises can help to mitigate risks relating to the digital spine. The report concludes by outlining the next steps towards realising a digital spine, emphasising the role of independent assurance frameworks in achieving this goal.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 6","pages":"1054-1063"},"PeriodicalIF":2.4,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12195","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143248620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Open data for modelling the impacts of electric vehicles on UK distribution networks: Opportunities for a digital spine

IF 2.4

IET Smart Grid Pub Date : 2024-11-29 DOI: 10.1049/stg2.12193

Isaac Flower, Furong Li, Julian Padget

{"title":"Open data for modelling the impacts of electric vehicles on UK distribution networks: Opportunities for a digital spine","authors":"Isaac Flower, Furong Li, Julian Padget","doi":"10.1049/stg2.12193","DOIUrl":"https://doi.org/10.1049/stg2.12193","url":null,"abstract":"This paper provides a detailed overview of the current snapshot of available open data for modelling the impacts of electric vehicles (EVs) on the UK distribution network, highlighting opportunities for a digital spine. We are the first to review open data available for UK distribution networks, focusing on spatial data. We also explore data for census small geographies, vehicle ownership, EV charger locations and data on their usage. Several issues are identified, including inconsistencies in dataset availability, file naming conventions, feature definitions and geographic discrepancies. We specifically analyse EV charger connection data for secondary distribution substations from two UK Distribution Network Operators (DNOs). The validity of the data is assessed by comparing it to known public charger locations from OpenChargeMap. While one DNO provides data coverage for >95% of its substations, it is valid for only 24.1% of substations with at least one public charger. Conversely, the other DNO provides data coverage for 1% of its substations due to privacy-related obfuscation, with data valid for 98.3% of substations with at least one public charger. Addressing these challenges through standardised data-sharing practices and implementing a digital spine could enhance the accuracy and reliability of EV-grid integration models. These improvements are essential for facilitating the seamless integration of EVs into the grid and supporting the transition to a sustainable energy system.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 6","pages":"983-999"},"PeriodicalIF":2.4,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12193","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143253576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0