IET Smart Grid最新文献_第2页

Hierarchical formation control technology for multiple autonomous underwater vehicles 多自主潜水器的分层编队控制技术

IF 2.4

IET Smart Grid Pub Date : 2025-01-24 DOI: 10.1049/stg2.12209

Shibo Fan, Jie Jiao, Pengfeng Lin, Qingzuo Meng

引用次数: 0

Continuous monitoring of partial discharge activities in power cables and their stimulation due to the temperature rise

IF 2.4

IET Smart Grid Pub Date : 2025-01-13 DOI: 10.1049/stg2.12187

Denis Stanescu, Dragos Nastasiu, Angela Digulescu, Cornel Ioana, Cristina Despina-Stoian

{"title":"Continuous monitoring of partial discharge activities in power cables and their stimulation due to the temperature rise","authors":"Denis Stanescu, Dragos Nastasiu, Angela Digulescu, Cornel Ioana, Cristina Despina-Stoian","doi":"10.1049/stg2.12187","DOIUrl":"https://doi.org/10.1049/stg2.12187","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <p>With the development of the power distribution systems demands, the grid reliability becomes a strategic issue. Continuous monitoring of power transmission networks is a key component in addressing this issue. Partial discharge (PD) characterisation instruments provide a reliable solution and an important indicator of the state of cable insulation. An increase in the PD level usually indicates the development of a fault that affects the integrity of the cable and can lead to various problems related to the quality and quantity of the transmitted energy. In this context, the use of Internet of Things (IoT) systems for power networks monitoring can provide a significant improvement to the localisation and detection of faults. In this paper, the authors show the advantages of continuous monitoring of power grid cables using a new IoT based framework using an advanced signal processing technique, namely the phase diagram. Also, the authors show that variations in temperature can impact the initiation and progression of PD, affecting the reliability and lifespan of electrical insulation systems. Understanding this temperature dependence is crucial for accurate PD detection and effective maintenance of power cables. Our results show that higher temperatures can accelerate the PD activity, while lower temperatures may suppress it.</p>\u0000 </section>\u0000 </div>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12187","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143397157","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 risk assessment method for power internet of things information security based on multi-objective hierarchical optimisation

IF 2.4

IET Smart Grid Pub Date : 2025-01-11 DOI: 10.1049/stg2.12208

Yunxiao Sun, Ling Zhuang, Ting Jia, Dabei Cheng, Xindong Zhao, Jing Guo

{"title":"A risk assessment method for power internet of things information security based on multi-objective hierarchical optimisation","authors":"Yunxiao Sun, Ling Zhuang, Ting Jia, Dabei Cheng, Xindong Zhao, Jing Guo","doi":"10.1049/stg2.12208","DOIUrl":"https://doi.org/10.1049/stg2.12208","url":null,"abstract":"<p>Power Internet of Things (PIoT) relies on various smart sensors and edge devices to support the operational status of the power grid. To address the challenge of conducting a comprehensive information security risk assessment for communication among heterogeneous devices in PIoT, a reliable security risk assessment method is proposed. This method, based on the analytic hierarchy process (AHP), considers four key dimensions: the cloud platform, communication transmission, edge side and terminal side. It integrates information indexes, the asset loss and risk probability to construct a risk assessment scheme oriented towards PIoT information security. The judgement matrix of AHP which fails the consistency test, is modified by using an improved multi-objective particle swarm optimisation (IMPSO) algorithm, while minimising semantic offset distance. Verified through a case study, this method effectively reduces the consistency index to an average of 0.01 and achieves a correlation of 90.86% with traditional AHP assessment results.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12208","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143397102","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

Travelling wave-based fault detection and location in a real low-voltage DC microgrid 实际低压直流微电网中基于行波的故障检测与定位

IF 2.4

IET Smart Grid Pub Date : 2025-01-06 DOI: 10.1049/stg2.12207

Sajay Krishnan Paruthiyil, Ali Bidram, Miguel Jimenez Aparicio, Javier Hernandez-Alvidrez, Andrew R. R. Dow, Matthew J. Reno, Daniel Bauer

{"title":"Travelling wave-based fault detection and location in a real low-voltage DC microgrid","authors":"Sajay Krishnan Paruthiyil, Ali Bidram, Miguel Jimenez Aparicio, Javier Hernandez-Alvidrez, Andrew R. R. Dow, Matthew J. Reno, Daniel Bauer","doi":"10.1049/stg2.12207","DOIUrl":"https://doi.org/10.1049/stg2.12207","url":null,"abstract":"<p>This paper discusses a device-level implementation of a travelling wave (TW) protection device (PD) designed for a real low-voltage DC microgrid. The TWPD fault detection and location algorithm is executed on a commercial digital signal processor (DSP) board, involving signal sampling at 1 MHz via the DSP board's analog-to-digital converter (ADC). The analogue input card measures positive pole, negative pole and pole-to-pole voltages at the TWPD location. Upon a successful fault detection using a second-order high-pass filter, the voltage data is normalised and multi-resolution analysis (MRA) is performed on a 128-sample buffer around the TW arrival time. MRA employs the discrete wavelet transform (DWT) to capture high-frequency voltage patterns, and then the Parseval's energy theorem quantifies these TW characteristics by computing the energy of reconstructed wavelet coefficients. These energy values per decomposed frequency band are the basis for training a random forest classifier that predicts fault location and type. The TWPD is fully implemented and connected to a real DC microgrid in Albuquerque, NM, USA, for validation, and results are shown for field tests verifying the performance under faults.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12207","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143396780","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

Delay-dependent small-signal stability analysis of inverter-based islanded microgrids

IF 2.4

IET Smart Grid Pub Date : 2025-01-06 DOI: 10.1049/stg2.12206

Chaudhry Talha Hassan, Tariq Mahmood Jadoon, Anmar Arif

{"title":"Delay-dependent small-signal stability analysis of inverter-based islanded microgrids","authors":"Chaudhry Talha Hassan, Tariq Mahmood Jadoon, Anmar Arif","doi":"10.1049/stg2.12206","DOIUrl":"https://doi.org/10.1049/stg2.12206","url":null,"abstract":"<p>The stability of an inverter-based hierarchical microgrid is challenged by inverter controls, network dynamics, load models and communication delays among the interacting agents. Moreover, the adoption of non-dispatchable grid-following (GFL) inverters further lowers the system inertia in islanded Microgrids (MGs). Therefore, both grid-forming (GFM) and GFL inverters shall coordinate to perform frequency/voltage regulation through their grid-support function. This paper investigates the role of GFM-GFL coordination on the operational stability of real-world Microgrids (MGs) with communication delays. A complete non-linear state-space model is derived for the MG. The time-delayed system model is discretised in a system of ordinary differential equations to determine delay margins using spectral analysis. Later, the same model is linearised around an operating point to determine delay margins using time-domain analysis. The equilibrium point is disturbed by load perturbation and the system response is observed for different values of communication delays and control topology. The delay margins estimated theoretically are validated using the time-domain simulations in MATLAB/SIMULINK. Simulation results are compared to determine the efficacy of grid-support function in improving operational stability of islanded MGs. The developed evaluation scheme is tested on a multi-inverter islanded power system.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12206","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143396781","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

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":"<p>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.</p>","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":"<p>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.</p>","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":"<p>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.</p>","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":"<p>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.</p>","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":"<p>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.</p>","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