Transition toward a sustainable, low-carbon energy future requires innovative, integrated solutions. Hybrid solar-hydrogen systems (HSHSs), which combine solar energy harvesting and hydrogen production, have excellent prosepects to address challenges related to renewable energy generation, storage, and usage. This article presents an overview of the research on the technical and economic feasibility of HSHSs, aimed at comprehensively articulating their current state, notable advancements, and future research directions. It begins by elucidating solar energy principles and conversion methods and emphasizing the potential of solar energy for hydrogen production. This study then explores the definitions, components, and synergistic integration of HSHSs. Optimized energy conversion and storage methods for efficient hydrogen production and storage are also highlighted. This study reviews the techniques employed for techno-economic evaluations over the last six years, addressing challenges such as the intermittency of solar energy and the efficiency of hydrogen production technologies. This review of the ongoing research provides helpful insights into the technological and economic feasibility of HSHSs. This underscores the necessity of continuous research and development efforts to overcome existing challenges and unlock their full potential. These systems can play a vital role in achieving a cleaner and more resilient energy future by optimizing the system performance, reducing costs, and fostering supportive policy frameworks.
{"title":"Assessing the techno-economic feasibility of hybrid solar-hydrogen systems: A review of recent studies","authors":"Emmanuel Akono Sarsah;Albert Kojo Sunnu;Abdul-Rahim Bawa","doi":"10.23919/IEN.2024.0004","DOIUrl":"https://doi.org/10.23919/IEN.2024.0004","url":null,"abstract":"Transition toward a sustainable, low-carbon energy future requires innovative, integrated solutions. Hybrid solar-hydrogen systems (HSHSs), which combine solar energy harvesting and hydrogen production, have excellent prosepects to address challenges related to renewable energy generation, storage, and usage. This article presents an overview of the research on the technical and economic feasibility of HSHSs, aimed at comprehensively articulating their current state, notable advancements, and future research directions. It begins by elucidating solar energy principles and conversion methods and emphasizing the potential of solar energy for hydrogen production. This study then explores the definitions, components, and synergistic integration of HSHSs. Optimized energy conversion and storage methods for efficient hydrogen production and storage are also highlighted. This study reviews the techniques employed for techno-economic evaluations over the last six years, addressing challenges such as the intermittency of solar energy and the efficiency of hydrogen production technologies. This review of the ongoing research provides helpful insights into the technological and economic feasibility of HSHSs. This underscores the necessity of continuous research and development efforts to overcome existing challenges and unlock their full potential. These systems can play a vital role in achieving a cleaner and more resilient energy future by optimizing the system performance, reducing costs, and fostering supportive policy frameworks.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"3 1","pages":"28-38"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10488348","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140340084","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}
Among various power system disturbances, cascading failures are considered the most serious and extreme threats to grid operations, potentially leading to significant stability issues or even widespread power blackouts. Simulating power systems' behaviors during cascading failures is of great importance to comprehend how failures originate and propagate, as well as to develop effective preventive and mitigative control strategies. The intricate mechanism of cascading failures, characterized by multi-timescale dynamics, presents exceptional challenges for their simulations. This paper provides a comprehensive review of simulation models for cascading failures, providing a systematic categorization and a comparison of these models. The challenges and potential research directions for the future are also discussed.
{"title":"A Review on Simulation Models of Cascading Failures in Power Systems","authors":"Zhenping Guo;Kai Sun;Xiaowen Su;Srdjan Simunovic","doi":"10.23919/IEN.2023.0039","DOIUrl":"10.23919/IEN.2023.0039","url":null,"abstract":"Among various power system disturbances, cascading failures are considered the most serious and extreme threats to grid operations, potentially leading to significant stability issues or even widespread power blackouts. Simulating power systems' behaviors during cascading failures is of great importance to comprehend how failures originate and propagate, as well as to develop effective preventive and mitigative control strategies. The intricate mechanism of cascading failures, characterized by multi-timescale dynamics, presents exceptional challenges for their simulations. This paper provides a comprehensive review of simulation models for cascading failures, providing a systematic categorization and a comparison of these models. The challenges and potential research directions for the future are also discussed.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"284-296"},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10376472","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139060084","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}
While lithium-ion batteries are widely deployed to large-scale applications, such as electric vehicles and stationary energy storage plants, the gradual degradation of batteries impose significant influence on their safety and efficiency during operation. Thus, an accurate method needs to be developed to estimate the battery state of health (SOH). Existing SOH estimation methods in recent literature mainly fall into two categories: model-based and datadriven methods. Model-based methods attempt to expand the original battery model by taking into account various factors affecting the battery degradation. Data-driven methods aim to characterize the relation between battery SOH and various health indicators by machine learning. Once the training process has been completed, such data-driven methods are less complex to implement than model-based methods, making them more promising for practical applications.
{"title":"An Accurate Battery State of Health Estimation Method Easy to Imlement After Charging","authors":"Weiji Han;Changyou Geng","doi":"10.23919/IEN.2023.0043","DOIUrl":"10.23919/IEN.2023.0043","url":null,"abstract":"While lithium-ion batteries are widely deployed to large-scale applications, such as electric vehicles and stationary energy storage plants, the gradual degradation of batteries impose significant influence on their safety and efficiency during operation. Thus, an accurate method needs to be developed to estimate the battery state of health (SOH). Existing SOH estimation methods in recent literature mainly fall into two categories: model-based and datadriven methods. Model-based methods attempt to expand the original battery model by taking into account various factors affecting the battery degradation. Data-driven methods aim to characterize the relation between battery SOH and various health indicators by machine learning. Once the training process has been completed, such data-driven methods are less complex to implement than model-based methods, making them more promising for practical applications.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"257-257"},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10376445","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139060264","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}
The United States (US)-China Scientific Workshop on Carbon Neutrality and Climate Change was successfully held at Harvard University on December 1 and 2, 2023 (see Figure 1). Top scholars and experts from China and the US came together to deeply explore seven key issues related to carbon neutrality and climate change to promote cooperation and exchange in this vital area between the two countries.
{"title":"The US-China Scientific Workshop on Carbon Neutrality and Climate Change","authors":"Jin Lin;Ning Zhang","doi":"10.23919/IEN.2023.0040","DOIUrl":"10.23919/IEN.2023.0040","url":null,"abstract":"The United States (US)-China Scientific Workshop on Carbon Neutrality and Climate Change was successfully held at Harvard University on December 1 and 2, 2023 (see Figure 1). Top scholars and experts from China and the US came together to deeply explore seven key issues related to carbon neutrality and climate change to promote cooperation and exchange in this vital area between the two countries.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"252-253"},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10376443","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139060066","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}
In the background of the large-scale development and utilization of renewable energy, the joint operation of a variety of heterogeneous energy sources has become an inevitable development trend. However, the physical characteristics of different power sources and the inherent uncertainties of renewable energy power generation have brought difficulties to the planning, operation and control of power systems. For now, the utilization of multi-energy complementarity to promote energy transformation and improve the consumption of renewable energy has become a common understanding among researchers and the engineering community. This paper makes a review of the research on complementarity of new energy high proportion multi-energy systems from uncertainty modeling, complementary characteristics, planning and operation. We summarize the characteristics of the existing research and provide a reference for the further work.
{"title":"Research on Complementarity of Multi-Energy Power Systems: A Review","authors":"Wei Hu;Yu Dong;Lei Zhang;Yiting Wang;Yunchao Sun;Kexi Qian;Yuchen Qi","doi":"10.23919/IEN.2023.0042","DOIUrl":"10.23919/IEN.2023.0042","url":null,"abstract":"In the background of the large-scale development and utilization of renewable energy, the joint operation of a variety of heterogeneous energy sources has become an inevitable development trend. However, the physical characteristics of different power sources and the inherent uncertainties of renewable energy power generation have brought difficulties to the planning, operation and control of power systems. For now, the utilization of multi-energy complementarity to promote energy transformation and improve the consumption of renewable energy has become a common understanding among researchers and the engineering community. This paper makes a review of the research on complementarity of new energy high proportion multi-energy systems from uncertainty modeling, complementary characteristics, planning and operation. We summarize the characteristics of the existing research and provide a reference for the further work.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"275-283"},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10376471","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139060065","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}
The fourth issue of iEnergy in 2023 has arrived, with 11 papers published, including 2 news and views, 2 highlights, 1 letter, 3 review articles, and 3 original research articles.
{"title":"Empowering the grid: Unveiling innovations shaping the future of new-type power systems","authors":"","doi":"10.23919/IEN.2023.0045","DOIUrl":"10.23919/IEN.2023.0045","url":null,"abstract":"The fourth issue of iEnergy in 2023 has arrived, with 11 papers published, including 2 news and views, 2 highlights, 1 letter, 3 review articles, and 3 original research articles.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"251-251"},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10376475","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139060263","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}
One quarter of the green house gas (GHG) emissions is attributed to the transport sector. As the world moves to a low-carbon economy, electrification and efficiency improvements of transport has become one of the primary policy targets. As a result, the charging infrastructure is expanding fast in many parts of the world. According to the IEA World Energy Outlook report, 2.7 million public charging points are installed worldwide at the end of 2022, while more than 900000 of them were installed in that year, which is about a 55% increase on 2021 stock. The development of a vast charging network is expected to considerably increase the energy demand for electric vehicle (EV) charging (“slow” chargers at home range from 3.3 kW to 22 kW compared to a typical home demand of 2 kW, and fast chargers capacity is up to 350 kW), posing great challenges to the safe, stable and economic operation of the power grid.
{"title":"The Interaction of Electric Vehicles with the Power Grid-Challenges and Solutions","authors":"Nikos Hatziargyriou","doi":"10.23919/IEN.2023.0044","DOIUrl":"10.23919/IEN.2023.0044","url":null,"abstract":"One quarter of the green house gas (GHG) emissions is attributed to the transport sector. As the world moves to a low-carbon economy, electrification and efficiency improvements of transport has become one of the primary policy targets. As a result, the charging infrastructure is expanding fast in many parts of the world. According to the IEA World Energy Outlook report, 2.7 million public charging points are installed worldwide at the end of 2022, while more than 900000 of them were installed in that year, which is about a 55% increase on 2021 stock. The development of a vast charging network is expected to considerably increase the energy demand for electric vehicle (EV) charging (“slow” chargers at home range from 3.3 kW to 22 kW compared to a typical home demand of 2 kW, and fast chargers capacity is up to 350 kW), posing great challenges to the safe, stable and economic operation of the power grid.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"254-255"},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10376444","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139060206","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}
Xinting Liu;Shilin Wu;Haoyu Ma;Huiquan Zhang;Ran Bi;Bing Tian;Qiancheng Lv;Jun Hu
Electric field measurement holds immense significance in various domains. The power supply and signal acquisition units of the sensor may be coupled with ground wire interference, which could result in reduced measurement accuracy. Moreover, this problem is often ignored by researchers. This paper investigated the origin of ground coupling interference in electric field sensors and its impact on measurement accuracy. A miniature undistorted electric field sensor with wireless transmission was compared with existing D-dot, microelectromechanical systems (MEMS), and optical sensors. The results indicate that MEMS and D-dot exhibit diminished accuracy in measuring electric fields under uniform conditions, owing to interference from ground wires. In the case of transmission lines with non-uniform conditions, the wireless sensor exhibited a measurement error of 5%, whereas the optical sensor showed an error rate of approximately 8%. However, the D-dot sensor displayed a measurement error exceeding 50%, whereas the MEMS sensor yielded an error as high as 150%. This means that the wireless sensor isolates the ground-coupled interference signal and realizes the distortion-free measurement of the electric field. The wireless sensors will find extensive applications in new power systems for intelligent equipment status perception, fault warning, and other scenarios.
电场测量在各个领域都具有重要意义。传感器的电源和信号采集单元可能会受到地线干扰，从而降低测量精度。此外，这一问题往往被研究人员忽视。本文研究了电场传感器中地线耦合干扰的起源及其对测量精度的影响。将无线传输的微型无失真电场传感器与现有的 D 点、微机电系统 (MEMS) 和光学传感器进行了比较。结果表明，由于地线的干扰，微机电系统和 D 点传感器在均匀条件下测量电场的精度有所降低。在非均匀条件下的传输线中，无线传感器的测量误差为 5%，而光学传感器的误差率约为 8%。然而，D 点传感器的测量误差超过 50%，而 MEMS 传感器的误差则高达 150%。这说明无线传感器隔离了地面耦合干扰信号，实现了无失真电场测量。无线传感器将广泛应用于新型电力系统中的智能设备状态感知、故障预警等场景。
{"title":"Impact of Coupled Ground Wire Interference on the Precision of Electric Field Sensors","authors":"Xinting Liu;Shilin Wu;Haoyu Ma;Huiquan Zhang;Ran Bi;Bing Tian;Qiancheng Lv;Jun Hu","doi":"10.23919/IEN.2023.0038","DOIUrl":"10.23919/IEN.2023.0038","url":null,"abstract":"Electric field measurement holds immense significance in various domains. The power supply and signal acquisition units of the sensor may be coupled with ground wire interference, which could result in reduced measurement accuracy. Moreover, this problem is often ignored by researchers. This paper investigated the origin of ground coupling interference in electric field sensors and its impact on measurement accuracy. A miniature undistorted electric field sensor with wireless transmission was compared with existing D-dot, microelectromechanical systems (MEMS), and optical sensors. The results indicate that MEMS and D-dot exhibit diminished accuracy in measuring electric fields under uniform conditions, owing to interference from ground wires. In the case of transmission lines with non-uniform conditions, the wireless sensor exhibited a measurement error of 5%, whereas the optical sensor showed an error rate of approximately 8%. However, the D-dot sensor displayed a measurement error exceeding 50%, whereas the MEMS sensor yielded an error as high as 150%. This means that the wireless sensor isolates the ground-coupled interference signal and realizes the distortion-free measurement of the electric field. The wireless sensors will find extensive applications in new power systems for intelligent equipment status perception, fault warning, and other scenarios.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"314-322"},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10365719","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139060081","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}
The holomorphic embedding method (HEM) stands as a mathematical technique renowned for its favorable convergence properties when resolving algebraic systems involving complex variables. The key idea behind the HEM is to convert the task of solving complex algebraic equations into a series expansion involving one or multiple embedded complex variables. This transformation empowers the utilization of complex analysis tools to tackle the original problem effectively. Since the 2010s, the HEM has been applied to steady-state and dynamic problems in power systems and has shown superior convergence and robustness compared to traditional numerical methods. This paper provides a comprehensive review on the diverse applications of the HEM and its variants reported by the literature in the past decade. The paper discusses both the strengths and limitations of these HEMs and provides guidelines for practical applications. It also outlines the challenges and potential directions for future research in this field.
全形嵌入法（HEM）是一种数学技术，因其在求解涉及复变量的代数系统时具有良好的收敛特性而闻名于世。HEM 背后的主要思想是将求解复杂代数方程的任务转换为涉及一个或多个嵌入复变量的级数展开。这种转换有助于利用复杂分析工具有效解决原始问题。自 2010 年代以来，HEM 已被应用于电力系统中的稳态和动态问题，与传统的数值方法相比，HEM 表现出更优越的收敛性和鲁棒性。本文全面回顾了过去十年中文献报道的 HEM 及其变体的各种应用。本文讨论了这些 HEM 的优势和局限性，并为实际应用提供了指导。本文还概述了该领域未来研究的挑战和潜在方向。
{"title":"A Review on Applications of Holomorphic Embedding Methods","authors":"Kaiyang Huang;Kai Sun","doi":"10.23919/IEN.2023.0037","DOIUrl":"10.23919/IEN.2023.0037","url":null,"abstract":"The holomorphic embedding method (HEM) stands as a mathematical technique renowned for its favorable convergence properties when resolving algebraic systems involving complex variables. The key idea behind the HEM is to convert the task of solving complex algebraic equations into a series expansion involving one or multiple embedded complex variables. This transformation empowers the utilization of complex analysis tools to tackle the original problem effectively. Since the 2010s, the HEM has been applied to steady-state and dynamic problems in power systems and has shown superior convergence and robustness compared to traditional numerical methods. This paper provides a comprehensive review on the diverse applications of the HEM and its variants reported by the literature in the past decade. The paper discusses both the strengths and limitations of these HEMs and provides guidelines for practical applications. It also outlines the challenges and potential directions for future research in this field.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"264-274"},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10365718","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139060083","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}
Xianhao Fan;Hanhua Luo;Fangwei Liang;Jun Hu;Weidong Liu;Chuanyang Li;Jinliang He
The requirements for the construction of a new power system inevitably pose significant challenges and changes to the operation and maintenance of the power grid. To ensure the safe and stable operation of ultra-high voltage (UHV) transmission equipment, this work reports on the principles and preliminary results of using electroluminescence (EL)-based photon counting (PC) methods for early detection of micro-defects in GIS/GIL insulation spacer. In this study, the impact of voltage, gas pressure, and gas composition on the photon response of insulation is examined. Furthermore, the corresponding relationship between defect status and photon response characteristics is explored, along with the discussion of the EL mechanism and its evolution induced by defects. The research results demonstrate that PC measurement exhibits high sensitivity to variations in millimeter-scale defect size, position, and morphology at lower electric fields before partial discharge (PD) initiation. With this regard, this paper reveals promising prospects for the early detection of micro-defects in UHV transmission equipment using PC measurement-based methods.
新电力系统的建设要求必然会给电网的运行和维护带来巨大的挑战和变化。为确保特高压输电设备的安全稳定运行，本研究报告了基于电致发光（EL）的光子计数（PC）方法用于 GIS/GIL 绝缘间隔微缺陷早期检测的原理和初步结果。本研究探讨了电压、气体压力和气体成分对绝缘层光子响应的影响。此外，还探讨了缺陷状态与光子响应特性之间的相应关系，以及缺陷诱发的电致发光机制及其演变。研究结果表明，在局部放电 (PD) 开始之前的较低电场中，PC 测量对毫米级缺陷尺寸、位置和形态的变化具有很高的灵敏度。因此，本文揭示了使用基于 PC 测量的方法对超高压输电设备中的微缺陷进行早期检测的广阔前景。
{"title":"Photon Count Technique as a Potential Tool for Insulation Micro-Defect Detection: Principles and Primary Results","authors":"Xianhao Fan;Hanhua Luo;Fangwei Liang;Jun Hu;Weidong Liu;Chuanyang Li;Jinliang He","doi":"10.23919/IEN.2023.0036","DOIUrl":"10.23919/IEN.2023.0036","url":null,"abstract":"The requirements for the construction of a new power system inevitably pose significant challenges and changes to the operation and maintenance of the power grid. To ensure the safe and stable operation of ultra-high voltage (UHV) transmission equipment, this work reports on the principles and preliminary results of using electroluminescence (EL)-based photon counting (PC) methods for early detection of micro-defects in GIS/GIL insulation spacer. In this study, the impact of voltage, gas pressure, and gas composition on the photon response of insulation is examined. Furthermore, the corresponding relationship between defect status and photon response characteristics is explored, along with the discussion of the EL mechanism and its evolution induced by defects. The research results demonstrate that PC measurement exhibits high sensitivity to variations in millimeter-scale defect size, position, and morphology at lower electric fields before partial discharge (PD) initiation. With this regard, this paper reveals promising prospects for the early detection of micro-defects in UHV transmission equipment using PC measurement-based methods.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"258-263"},"PeriodicalIF":0.0,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10352432","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139060265","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}
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