IET Energy Systems Integration最新文献

Experimental and model analysis of the thermoelectric characteristics of serial arc in prismatic lithium‐ion batteries 棱柱形锂离子电池串联电弧热电特性的实验和模型分析

IF 1.6

IET Energy Systems Integration Pub Date : 2024-07-24 DOI: 10.1049/esi2.12162

Wenqiang Xu, Languang Lu, Kai Zhou, Yalun Li, Bin Gao

引用次数: 0

Low‐carbon economic operation of multi‐energy microgrid based on multi‐level robust optimisation 基于多级鲁棒优化的多能源微电网低碳经济运行

IF 1.6

IET Energy Systems Integration Pub Date : 2024-07-21 DOI: 10.1049/esi2.12160

Wenwen He, Xiong Wu, Xiaofei Li, Mingkang He, Binrui Cao, Xiuli Wang

{"title":"Low‐carbon economic operation of multi‐energy microgrid based on multi‐level robust optimisation","authors":"Wenwen He, Xiong Wu, Xiaofei Li, Mingkang He, Binrui Cao, Xiuli Wang","doi":"10.1049/esi2.12160","DOIUrl":"https://doi.org/10.1049/esi2.12160","url":null,"abstract":"The economic and low‐carbon operation strategy of multi‐energy microgrids (MEM) has become an important research topic in smart grids. The operation of MEM is affected by uncertain factors from renewable energy and internal load. To handle uncertainties from both source and load sides, the authors propose a novel worst‐case‐and‐probability uncertainty sets and a novel worst‐expectation min‐max‐max‐min two‐stage four‐level robust optimisation (RO) model considering stepped carbon trading for MEM. This four‐level RO model is a more generalised model compared with the traditional two‐stage RO and distributionally robust optimisation based models. First, the unsolvable original four‐level model is decoupled into a master problem and a sub‐problem (SP). Second, Karush–Kuhn–Tucker condition is applied to convert SP into a solvable problem. Third, column and constraint generation (C&CG) algorithm is employed to solve the reformulated four‐level RO. Finally, the effectiveness of the proposed model and solution method is verified by case studies. The results indicate that the convergence behaviour of this solution method is excellent. The MEM operator can select appropriate robustness factors and comprehensive norms to control its conservatism level. Besides, MEM could reduce carbon emissions by participating in carbon trading and installing carbon capture devices.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141818075","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}

引用次数: 0

Anti‐interference lithium‐ion battery intelligent perception for thermal fault detection and localization 用于热故障检测和定位的抗干扰锂离子电池智能感知技术

IF 1.6

IET Energy Systems Integration Pub Date : 2024-07-08 DOI: 10.1049/esi2.12158

Luyu Tian, Chaoyu Dong, Rui Wang, Yunfei Mu, Hongjie Jia

{"title":"Anti‐interference lithium‐ion battery intelligent perception for thermal fault detection and localization","authors":"Luyu Tian, Chaoyu Dong, Rui Wang, Yunfei Mu, Hongjie Jia","doi":"10.1049/esi2.12158","DOIUrl":"https://doi.org/10.1049/esi2.12158","url":null,"abstract":"Lithium‐ion batteries are widely employed in electric vehicles, power grid energy storage, and other fields. Thermal fault diagnostics for battery packs is crucial to preventing thermal runaway from impairing the safe operation and extended cycle service life of batteries. Therefore, a lithium‐ion battery thermal fault diagnosis model based on deep learning algorithms is presented, which includes three parts: autoencoder denoising network, coarse mask generator, and mask precise adjustment. Autoencoder denoising network can reduce data noise during thermal imaging acquisition, improve the anti‐interference ability of diagnostic models, and ensure the accuracy of thermal runaway diagnosis. A two‐stage diagnostic structure is then formulated by the coarse mask generator and mask precise adjustment, which enable quick identification, categorisation, and localisation of thermal fault battery cells. According to the test results, the segmentation boundary is more distinct and is capable of matching the original image's level. The recognition accuracy of the thermal diagnosis model for faulty batteries is close to 100%. After denoising by the autoencoder, the prediction results improved by 22% compared to non‐local mean denoising and by about 32% compared to noisy images.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141666348","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}

引用次数: 0

Estimation and prediction method of lithium battery state of health based on ridge regression and gated recurrent unit 基于脊回归和门控递归单元的锂电池健康状态估计和预测方法

IF 1.6

IET Energy Systems Integration Pub Date : 2024-07-02 DOI: 10.1049/esi2.12159

Ziwei Dai, Aikui Li, Wei Sun, Shenwu Zhang, Hao Zhou, Ren Rao, Quan Luo

{"title":"Estimation and prediction method of lithium battery state of health based on ridge regression and gated recurrent unit","authors":"Ziwei Dai, Aikui Li, Wei Sun, Shenwu Zhang, Hao Zhou, Ren Rao, Quan Luo","doi":"10.1049/esi2.12159","DOIUrl":"https://doi.org/10.1049/esi2.12159","url":null,"abstract":"The health state of lithium‐ion batteries is influenced by the operating conditions of energy storage stations and battery characteristics. It is challenging to obtain real‐time characterisation parameters like maximum discharge capacity and internal resistance. It is necessary to extract sensitivity indicators from electrical parameters such as voltage, current, and temperature. Utilising the Stanford‐MIT Research Institute battery dataset, this paper selects batteries with over 1000 cycles and five distinct charging and discharging strategies as samples. During the daily operation and maintenance of the energy storage station, health indicators are extracted from the voltage, current, and temperature curves within the state of charge range of 20%–80%. The ridge regression method is used to establish the health status estimation model. The gated recurrent unit (GRU) model is leveraged for health state prediction. Simulation results demonstrate that the proposed health indicators effectively assess lithium battery health, the health state estimation errors mean absolute error (MAE) and root mean squared error (RMSE) based on the ridge regression model are within 1.5% and 2%, and the health state prediction errors MAE and RMSE based on GRU model are within 1%. This approach exhibits stability, high accuracy, and strong generalisation capabilities.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141687240","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}

引用次数: 0

A reinforcement learning method for two‐layer shipboard real‐time energy management considering battery state estimation 考虑电池状态估计的双层舰载实时能源管理强化学习方法

IF 1.6

IET Energy Systems Integration Pub Date : 2024-07-02 DOI: 10.1049/esi2.12157

Huayue Zhang, Shuli Wen, Mingchang Gu, Miao Zhu, Huili Ye

{"title":"A reinforcement learning method for two‐layer shipboard real‐time energy management considering battery state estimation","authors":"Huayue Zhang, Shuli Wen, Mingchang Gu, Miao Zhu, Huili Ye","doi":"10.1049/esi2.12157","DOIUrl":"https://doi.org/10.1049/esi2.12157","url":null,"abstract":"Increasing global environmental concerns encourage a continuous reduction in carbon emissions from the shipping industry. It has become an irreversible trend to replace traditional fossil fuels with advanced energy storage technology. However, an improper energy management leads to not only energy waste but also undesired costs and emissions. Accordingly, the authors develop a two‐layer shipboard energy management framework. In the initial stage, a shipboard navigation planning problem is formulated that considers battery state estimation and is subsequently solved using particle swarm optimisation to obtain an optimal speed trajectory. To track the scheduled speed, a reinforcement learning method based on a deep Q‐Network is proposed in the second stage to realise real‐time energy management of the diesel generator and energy storage system. This approach ensures that the state of charge remains within a safe range and that the performance is improved, avoiding excessive discharge from the energy storage systems and further enhancing the efficiency. The numerical results demonstrate the necessity and effectiveness of the proposed method.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141686149","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}

引用次数: 0

Guest Editorial: Identification, stability analysis, control, and situation awareness of power systems with high penetrations of renewable energy resources 特邀社论：可再生能源高渗透率电力系统的识别、稳定性分析、控制和态势感知

IF 2.4

IET Energy Systems Integration Pub Date : 2024-06-09 DOI: 10.1049/esi2.12153

Tek Tjing Lie, Wenpeng Luan

{"title":"Guest Editorial: Identification, stability analysis, control, and situation awareness of power systems with high penetrations of renewable energy resources","authors":"Tek Tjing Lie, Wenpeng Luan","doi":"10.1049/esi2.12153","DOIUrl":"https://doi.org/10.1049/esi2.12153","url":null,"abstract":"It is with great pleasure that the authors introduce this special issue, commemorating the 8th Asia Conference on Power and Electrical Engineering held in Tianjin in 2023. This conference served as a nexus for researchers, practitioners, and industry experts from around the globe to convene and exchange cutting-edge insights, innovative ideas, and transformative advancements in the field of power and electrical engineering. The contributions featured in this special issue represent a diverse array of research endeavours, spanning from fundamental theories to practical applications, all aimed at addressing the myriad challenges and opportunities facing the power and electrical engineering domain. From novel methodologies in renewable energy integration to advancements in smart grid technologies, each article encapsulates the spirit of innovation and collaboration that characterised the conference. This special issue includes scientific investigations on topology modelling and virtual stability analysis methods for distribution networks with high penetration of renewable energy resources, monitoring and situation awareness on grid inertia and power-frequency evolution, novel voltage source converter control schemes, and reviews of low-carbon planning and operation of electricity, hydrogen fuel, and transportation networks.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.12153","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141424932","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

Analysis of voltage limit‐induced barrier for connecting inverter‐based distributed generators to medium voltage networks: Australian case studies 基于逆变器的分布式发电机与中压网络连接的电压极限诱发障碍分析：澳大利亚案例研究

IF 2.4

IET Energy Systems Integration Pub Date : 2024-06-04 DOI: 10.1049/esi2.12154

Mir Toufikur Rahman, M. Gu, Moudud Ahmed, Kazi N. Hasan, Lasantha Gunaruwan Meegahapola

{"title":"Analysis of voltage limit‐induced barrier for connecting inverter‐based distributed generators to medium voltage networks: Australian case studies","authors":"Mir Toufikur Rahman, M. Gu, Moudud Ahmed, Kazi N. Hasan, Lasantha Gunaruwan Meegahapola","doi":"10.1049/esi2.12154","DOIUrl":"https://doi.org/10.1049/esi2.12154","url":null,"abstract":"Inverter‐based distributed generators (IBDGs), mainly solar photovoltaic, connected in medium‐voltage (MV) networks cause challenges, such as voltage limit violations, for distribution network service providers (DNSPs), and require advanced network management strategies to mitigate these challenges. A theoretical analysis of the voltage limit‐induced barrier to IBDG connection and their export limits due to the change in network characteristics is imperative for developing new strategies. The authors formulated a relationship between the network equivalent impedance and the IBDG's connection point in the network and further explored the link between the network equivalent impedance and voltage magnitude due to the IBDG connection point. The authors also assessed the voltage limit‐induced barrier to IBDG connections in MV networks and proposed solutions to overcome issues with the dynamic export limit of IBDGs. Four representative Australian MV networks are analysed in DIgSILENT PowerFactory under different scenarios, such as variation in IBDG location and static and dynamic export limits. The authors found that an IBDG connected at the end of the network can achieve better performance in supporting the network voltage. An IBDG with a dynamic export limit can export three times more energy than the static export limit, which benefits both the DNSPs and IBDG owners.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141387964","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}

引用次数: 0

Transient overvoltage suppression of LCC-HVDC sending-end system based on DC current control optimisation 基于直流电流控制优化的 LCC-HVDC 送端系统瞬态过电压抑制

IF 2.4

IET Energy Systems Integration Pub Date : 2024-05-09 DOI: 10.1049/esi2.12150

Yang Wang, Jianhang Zhu, Yingbiao Li, Jiabing Hu, Shicong Ma, Tiezhu Wang

{"title":"Transient overvoltage suppression of LCC-HVDC sending-end system based on DC current control optimisation","authors":"Yang Wang, Jianhang Zhu, Yingbiao Li, Jiabing Hu, Shicong Ma, Tiezhu Wang","doi":"10.1049/esi2.12150","DOIUrl":"10.1049/esi2.12150","url":null,"abstract":"The receiving-end system AC fault of the line-commutated-converter-based high voltage direct current (LCC-HVDC) will lead to commutation failure of the inverter side. During the fault and its recovery, AC transient low voltage and transient overvoltage (TOV) will occur in the sending-end system. The TOV has the risk of triggering the disorderly off-grid of the nearby renewable power generations. Besides, in a serious situation, it will threaten the power system to maintain a secure and steady operation. Therefore, the authors analyse the mechanism involved in the AC transient voltage during the AC fault and the recovery period first. It reveals that the key factor causing the TOV of the sending-end system is the setting of the DC current reference value. Then, a DC current reference value limit method based on the AC TOV sampling value is proposed, which is used to accelerate DC current recovery and suppress the TOV of the sending-end system. Finally, the effectiveness of the designed control method has been confirmed through electromagnetic transient simulations using the CIGRE HVDC benchmark model and a ±800 kV HVDC transmission system model situated in Northwest China.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.12150","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140996973","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

Stability assessment of inverter‐based renewable energy sources integrated to weak grids 基于逆变器的可再生能源并入弱电网的稳定性评估

IF 2.4

IET Energy Systems Integration Pub Date : 2024-05-09 DOI: 10.1049/esi2.12151

M. I. Saleem, S. Saha, U. Izhar, L. Ang

{"title":"Stability assessment of inverter‐based renewable energy sources integrated to weak grids","authors":"M. I. Saleem, S. Saha, U. Izhar, L. Ang","doi":"10.1049/esi2.12151","DOIUrl":"https://doi.org/10.1049/esi2.12151","url":null,"abstract":"The worldwide electricity network is undergoing a crucial transformation, shifting from traditional synchronous generators to inverter‐based renewable energy sources (IRESs). This shift is expected to reduce the grid's available fault level (AFL), potentially impacting grid functionality, particularly during the integration of IRESs into weak grids. This paper examines the challenges associated with weak grids, focusing on the steady‐state and dynamic stability of IRES when integrated into these systems. In the steady‐state analysis, the effects of AFL, injected power volume, and grid characteristics on the steady‐state voltage at the point of interconnection were explored. For dynamic stability, eigenvalue and H2 norm analyses are used for evaluation. Sensitivity analysis is conducted to assess the impact of these factors on the stability of IRESs connected to weak grids. A detailed case study using the IEEE 39 bus test power system is included to demonstrate our findings, where the steady‐state and dynamic stability of IRES connected to the test system are assessed using the proposed methods. The accuracy of these analyses is confirmed by extensive simulation studies on the OPAL‐RT real‐time digital simulator platform.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140997231","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}

引用次数: 0

Theoretical study on Stark effect of Rydberg atom in super low frequency electric field measurement 超低频电场测量中雷德贝格原子的斯塔克效应理论研究

IF 2.4

IET Energy Systems Integration Pub Date : 2024-04-14 DOI: 10.1049/esi2.12149

Hongtian Song, Yong Xiao, Shanshan Hu, Dongping Xiao, BaoShuai Wang, Zhuxin Shi, Huaiqing Zhang

{"title":"Theoretical study on Stark effect of Rydberg atom in super low frequency electric field measurement","authors":"Hongtian Song, Yong Xiao, Shanshan Hu, Dongping Xiao, BaoShuai Wang, Zhuxin Shi, Huaiqing Zhang","doi":"10.1049/esi2.12149","DOIUrl":"10.1049/esi2.12149","url":null,"abstract":"Super low frequency electric field measurements are crucial in analysing electromagnetic compatibility, assessing equipment status, and other related fields. Rydberg atom-based super low frequency electric field measurements are performed by observing the Stark shift in the spectrum of the Rydberg state. In a specific range of field strength (E < Eavoid, where Eavoid is the threshold to avoid crossing electric fields), the Rydberg atomic spectrum experiences a quadratic frequency shift in relation to the field strength, with the coefficient being determined by the atomic polarisability α. The authors establish a dynamic equation for the interaction between the external electric field and the atomic system, and present the Stark structure diagram of the Caesium Rydberg atom. The mathematical formulae for α and Eavoid in different Rydberg states are also obtained: α = A × (n*)6 + B × (n*)7 and Eavoid = C/(n*)5 + D/(n*)7, where A(B) = 2.2503 × 10−9(7.49,948 × 10−11) and C(D) = 1.68,868 × 108(2.45,991 × 109). The error of α and Eavoid compared with the experimental values does not exceed 8% and is even lower in the low Rydberg states. Accurately calculating the values of α and Eavoid is crucial in incorporating the Rydberg atom quantum coherence effect into super low frequency electric field measurements in new power systems.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.12149","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140706066","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