iEnergyPub Date : 2023-12-01DOI: 10.23919/IEN.2023.0041
George Chen
{"title":"Conventionally Indiscoverable Electrical Degradation in Polymer Insulation is Now Seen with Naked Eye","authors":"George Chen","doi":"10.23919/IEN.2023.0041","DOIUrl":"https://doi.org/10.23919/IEN.2023.0041","url":null,"abstract":"With the rapid development of energy technology, the reliability and durability of electrical insulation is becoming more and more important. In many critical systems, such as new energy systems, aerospace systems, power transmission and transformation systems, and rail transit systems, electrical degradation of dielectric polymers occurs frequently under harsh operating conditions. It will lead to electrical breakdown of key equipment if the risk is not identified and eliminated in time, resulting in huge economic losses. Unfortunately, electrical degradation usually initiates in a tiny area and does not cause significant changes in electrical properties of the material at the beginning, therefore it is extremely difficult to detect and has long been a major hidden danger threatening the safe operation of electrical and electronic equipment.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"256-256"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10378844","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139081199","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}
iEnergyPub Date : 2023-11-30DOI: 10.23919/IEN.2023.0035
Ning Zhang;Yuxiao Liu;Fangyuan Si;Qingchun Hou;Audun Botterud;Chongqing Kang
{"title":"Topology and Admittance Estimation: Precision Limits and Algorithms","authors":"Ning Zhang;Yuxiao Liu;Fangyuan Si;Qingchun Hou;Audun Botterud;Chongqing Kang","doi":"10.23919/IEN.2023.0035","DOIUrl":"10.23919/IEN.2023.0035","url":null,"abstract":"Distribution grid topology and admittance information are essential for system planning, operation, and protection. In many distribution grids, missing or inaccurate topology and admittance data call for efficient estimation methods. However, measurement data may be insufficient or contaminated with large noise, which will fundamentally limit the estimation accuracy. This work explores the theoretical precision limits of the topology and admittance estimation (TAE) problem with different measurement devices, noise levels, and numbers of measurements. On this basis, we propose a conservative progressive self-adaptive (CPS) algorithm to estimate the topology and admittance. The results on IEEE 33 and 141-bus systems validate that the proposed CPS method can approach the theoretical precision limits under various measurement settings.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"297-307"},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10336732","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139060262","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}
iEnergyPub Date : 2023-11-10DOI: 10.23919/IEN.2023.0034
Xinhong Feng;Yongzhi Zhang;Rui Xiong;Aihua Tang
{"title":"Estimating Battery State of Health with 10-Min Relaxation Voltage Across Various Charging States of Charge","authors":"Xinhong Feng;Yongzhi Zhang;Rui Xiong;Aihua Tang","doi":"10.23919/IEN.2023.0034","DOIUrl":"10.23919/IEN.2023.0034","url":null,"abstract":"Battery capacity assessment is a crucial research direction in the field of lithium-ion battery applications. In the previous research, a novel data-driven state of health (SOH) estimation method based on the voltage relaxation curve at full charging is developed. The experimental results have shown the evidence of the superiority of accurate battery SOH estimation based on physical features derived from equivalent circuit models (ECMs). However, the earlier research has limitations in estimating battery capacity with a diversity of battery charging states of charge. This study represents an extension of the previous work, aiming to investigate the feasibility of this technology for battery degradation evaluation under various charging states so that the application capability in practice is enhanced. In this study, six ECM features are extracted from 10-min voltage relaxation data across varying charging states to characterize the battery degradation evolution. Gaussian process regression (GPR) is employed to learn the relationship between the physical features and battery SOH. Experimental results under 10 different state of charge (SOC) ranges show that the developed methodology predicts accurate battery SOH, with a root mean square error being 0.9%.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"308-313"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10315081","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135610936","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}
{"title":"Major strategies for improving the performance of perovskite solar cells","authors":"Lixiu Zhang;Hang Li;Kai Zhang;Wenzhe Li;Chuantian Zuo;George Omololu Odunmbaku;Jingde Chen;Cong Chen;Luozheng Zhang;Ru Li;Yuping Gao;Baomin Xu;Jiangzhao Chen;Yongsheng Liu;Yang Wang;Yanlin Song;Jianxin Tang;Feng Gao;Qing Zhao;Yong Peng;Mingzhen Liu;Lei Tao;Yuelong Li;Zhimin Fang;Ming Cheng;Kuan Sun;Dewei Zhao;Yixin Zhao;Shihe Yang;Chenyi Yi;Liming Ding","doi":"10.23919/IEN.2023.0026","DOIUrl":"https://doi.org/10.23919/IEN.2023.0026","url":null,"abstract":"Metal halide perovskite solar cell (PSC) has successfully distinguished itself in optoelectronic field by virtue of the sharp rise in power conversion efficiency over the past decade. The remarkable efficiency breakthrough at such a fast speed can be mainly attributed to the comprehensive study on film deposition techniques, especially the effective management of surface and interfacial defects in recent works. Herein, we summarized the current trends in performance enhancement for PSCs, with a focus on the generally applicable strategies in high-performance works, involving deposition methods, compositional engineering, additive engineering, crystallization manipulation, charge transport material selection, interfacial passivation, optical coupling effect and constructing tandem solar cells. Promising directions and perspectives are also provided.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 3","pages":"172-199"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71903498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iEnergyPub Date : 2023-09-01DOI: 10.23919/IEN.2023.0033
Haoxiang Zhu;Haiwang Zhon
{"title":"Climate simulation resolutions impact on future system reliability assessment","authors":"Haoxiang Zhu;Haiwang Zhon","doi":"10.23919/IEN.2023.0033","DOIUrl":"https://doi.org/10.23919/IEN.2023.0033","url":null,"abstract":"Climate change has emerged as one of the most pressing global concerns, and the energy sector plays a pivotal role in facilitating decarbonization. Nevertheless, climate change also exerts significant challenges on the energy sector, including ensuring the availability of energy resources, accommodating the expansion of electricity demand, and enhancing the power grid resilience. With the increasing penetration of renewable energy sources, the interdependence between energy and climate systems has become even stronger. To address these challenges and ensure a sustainable and resilient future for our energy system, it is crucial to develop a reliable and rigorous approach to model and assess the impacts of climate change on power systems. Researchers in the field of climate- energy research have analyzed the impact of climate change on energy networks in multiple aspects, and they rely heavily on reliable climate projections.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 3","pages":"164-164"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71903496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iEnergyPub Date : 2023-09-01DOI: 10.23919/IEN.2023.0023
Heqing Huang;Yuzhang Lin;Yifan Zhou;Yue Zhao;Peng Zhang;Lingling Fan
{"title":"Data-driven modeling of power system dynamics: Challenges, state of the art, and future work","authors":"Heqing Huang;Yuzhang Lin;Yifan Zhou;Yue Zhao;Peng Zhang;Lingling Fan","doi":"10.23919/IEN.2023.0023","DOIUrl":"https://doi.org/10.23919/IEN.2023.0023","url":null,"abstract":"With the continual deployment of power-electronics-interfaced renewable energy resources, increasing privacy concerns due to deregulation of electricity markets, and the diversification of demand-side activities, traditional knowledge-based power system dynamic modeling methods are faced with unprecedented challenges. Data-driven modeling has been increasingly studied in recent years because of its lesser need for prior knowledge, higher capability of handling large-scale systems, and better adaptability to variations of system operating conditions. This paper discusses about the motivations and the generalized process of data-driven modeling, and provides a comprehensive overview of various state-of-the-art techniques and applications. It also comparatively presents the advantages and disadvantages of these methods and provides insight into outstanding challenges and possible research directions for the future.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 3","pages":"200-221"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71903499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iEnergyPub Date : 2023-09-01DOI: 10.23919/IEN.2023.0030
{"title":"Explore the positioning, connotation and characteristics of new-type power system","authors":"","doi":"10.23919/IEN.2023.0030","DOIUrl":"https://doi.org/10.23919/IEN.2023.0030","url":null,"abstract":"The third issue in 2023 of iEnergy comes, which published 12 papers, including 3 news and views, 3 highlights, 1 letter, 2 review articles, and 3 original research articles.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 3","pages":"155-156"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71903505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iEnergyPub Date : 2023-09-01DOI: 10.23919/IEN.2023.0031
Yao Zhou;Qing Wang
{"title":"High-temperature dielectric polymers with tailored structural units","authors":"Yao Zhou;Qing Wang","doi":"10.23919/IEN.2023.0031","DOIUrl":"https://doi.org/10.23919/IEN.2023.0031","url":null,"abstract":"The rapid expansion of renewable energy, electrified transportation and advanced electromagnetic power systems requires electronic devices that can operate stably at harsh temperatures (e.g., 150 to 250 °C). However, as one of the critical components of electronic devices and power systems, film capacitors can currently only operate at temperatures below 105 °C because conventional polymer dielectric materials suffer from high conduction loss at high temperature and high electric field, resulting in severe heat accumulation and thermal runaway of film capacitors.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 3","pages":"162-162"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71903429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iEnergyPub Date : 2023-09-01DOI: 10.23919/IEN.2023.0029
Rui Xiong;Chenxu Wang;Fengchun Sun
{"title":"A novel thermal runaway warning method of lithium-ion batteries","authors":"Rui Xiong;Chenxu Wang;Fengchun Sun","doi":"10.23919/IEN.2023.0029","DOIUrl":"https://doi.org/10.23919/IEN.2023.0029","url":null,"abstract":"To improve the safety of electric vehicles and battery energy storage systems, early prediction of thermal runaway (TR) is of great significance. This work proposes a novel method for early warning and short-term prediction of the TR. To give warning of TR long time in advance, a variety of battery models are established to extract key features, such as Pauta feature and Shannon entropy of voltage deviation, and then local outlier factor algorithm is used for feature fusion to detect abnormal cells. For the short-term pre-diction, the predefined threshold and variation rates are used. By measuring the real-time signals, such as voltage and temperature, their variation rates are calculated, based on which TR can be predicted exactly. The real data including TR from an electric vehicle are used to verify the method that it can give a warning on TR long time before it happens up to 74 days. This is remarkable for providing replacement recommendations for abnormal cells. It can also predict the occurrence of TR 33 seconds in advance to ensure the safe use of batteries.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 3","pages":"165-171"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71903497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iEnergyPub Date : 2023-09-01DOI: 10.23919/IEN.2023.0028
Minggao Ouyang
{"title":"“Vehicle-Energy-Road-Cloud” integration to promote China's economic transformation and upgrade","authors":"Minggao Ouyang","doi":"10.23919/IEN.2023.0028","DOIUrl":"https://doi.org/10.23919/IEN.2023.0028","url":null,"abstract":"In June 2023, the State Council executive meeting proposed the development of an integrated industrial ecosystem, namely, “Vehicle-Energy-Road-Cloud,” indicating a new direction for the next development of new energy vehicles. I would like to discuss three important points regarding the introduction of “Vehicle- Energy-Road-Cloud” and necessity of integrated industrial ecosystem of “Vehicle-Energy-Road-Cloud.”","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 3","pages":"161-161"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71903495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}