Journal of Modern Power Systems and Clean Energy最新文献_第4页

Multi-Time-Scale Resource Allocation Based on Long-Term Contracts and Real-Time Rental Business Models for Shared Energy Storage Systems 基于共享储能系统长期合同和实时租赁商业模式的多时间尺度资源分配

IF 6.3 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-03-05 DOI: 10.35833/MPCE.2023.000744

Yuxuan Zhuang;Zhiyi Li;Qipeng Tan;Yongqi Li;Minhui Wan

{"title":"Multi-Time-Scale Resource Allocation Based on Long-Term Contracts and Real-Time Rental Business Models for Shared Energy Storage Systems","authors":"Yuxuan Zhuang;Zhiyi Li;Qipeng Tan;Yongqi Li;Minhui Wan","doi":"10.35833/MPCE.2023.000744","DOIUrl":"https://doi.org/10.35833/MPCE.2023.000744","url":null,"abstract":"The push for renewable energy emphasizes the need for energy storage systems (ESSs) to mitigate the unpre-dictability and variability of these sources, yet challenges such as high investment costs, sporadic utilization, and demand mismatch hinder their broader adoption. In response, shared energy storage systems (SESSs) offer a more cohesive and efficient use of ESS, providing more accessible and cost-effective energy storage solutions to overcome these obstacles. To enhance the profitability of SESSs, this paper designs a multi-time-scale resource allocation strategy based on long-term contracts and real-time rental business models. We initially construct a life cycle cost model for SESS and introduce a method to estimate the degradation costs of multiple battery groups by cycling numbers and depth of discharge within the SESS. Subsequently, we design various long-term contracts from both capacity and energy perspectives, establishing associated models and real-time rental models. Lastly, multi-time-scale resource allocation based on the decomposition of user demand is proposed. Numerical analysis validates that the business model based on long-term contracts excels over models operating solely in the real-time market in economic viability and user satisfaction, effectively reducing battery degradation, and leveraging the aggregation effect for SESS can generate an additional increase of 10.7% in net revenue.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10460468","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140291021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From Viewpoint of Reserve Provider: A Day-Ahead Multi-Stage Robust Optimization Reserve Provision Method for Microgrid with Energy Storage 从储备提供者的角度：带储能微电网的日前多阶段稳健优化储备供应方法

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-03-03 DOI: 10.35833/MPCE.2023.000718

Ye Tang;Qiaozhu Zhai;Yuzhou Zhou

{"title":"From Viewpoint of Reserve Provider: A Day-Ahead Multi-Stage Robust Optimization Reserve Provision Method for Microgrid with Energy Storage","authors":"Ye Tang;Qiaozhu Zhai;Yuzhou Zhou","doi":"10.35833/MPCE.2023.000718","DOIUrl":"https://doi.org/10.35833/MPCE.2023.000718","url":null,"abstract":"Energy storage (ES), as a fast response technology, creates an opportunity for microgrid (MG) to participate in the reserve market such that MG with ES can act as an independent reserve provider. However, the potential value of MG with ES in the reserve market has not been well realized. From the viewpoint of reserve provider, a novel day-ahead model is proposed comprehensively considering the effect of the real-time scheduling process, which differs from the model that MG with ES acts as a reserve consumer in most existing studies. Based on the proposed model, MG with ES can schedule its internal resources to give reserve service to other external systems as well as to realize optimal self-scheduling. Considering that the proposed model is just in concept and cannot be directly solved, a multi-stage robust optimization reserve provision method is proposed, which leverages the structure of model constraints. Next, the original model can be converted into a mixed-integer linear programming problem and the model is tractable with guaranteed solution feasibility. Numerical tests in a real-world context are provided to demonstrate efficient operation and economic performance.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-Stage Provincial Power Expansion Planning and Multi-Market Trading Equilibrium 多阶段省级电力扩张规划与多市场交易平衡

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-03-03 DOI: 10.35833/MPCE.2024.000171

Guangsheng Pan;Zhongfan Gu;Yuanyuan Sun;Kaiqi Sun;Wei Gu

{"title":"Multi-Stage Provincial Power Expansion Planning and Multi-Market Trading Equilibrium","authors":"Guangsheng Pan;Zhongfan Gu;Yuanyuan Sun;Kaiqi Sun;Wei Gu","doi":"10.35833/MPCE.2024.000171","DOIUrl":"https://doi.org/10.35833/MPCE.2024.000171","url":null,"abstract":"Decarbonization in the power sector is one of the critical factors in achieving carbon neutrality, and the top-level design needs to be carried out from the perspective of power planning. A multi-stage provincial power expansion planning (PPEP) model is proposed to simulate the power expansion planning at different stages of the power systems rich in renewable energy generation. This model covers 16 types of power supply, considering macro-policy demands and micro-operation constraints. The stand-alone capacity aggregation model for coal-based units within the PPEP model allows for accurate construction and retirement with different stand-alone capacities. Moreover, the soft dynamic time warping (soft-DTW) based \u0000<tex>$K-text{medoids}$</tex>\u0000 technique is adopted to generate typical scenarios for balancing the model accuracy and solution efficiency. Additionally, a multi-market trading equilibrium (MMTE) mechanism is proposed to address the differences in the levelized cost of energy between the coal-based and renewable-based units by participating in energy and ancillary service markets. Since the coal-based units take on the task of providing ancillary services from renewable-based units in the ancillary service market, the MMTE mechanism can effectively equalize the profits of both by having renewable-based units purchase ancillary services from coal-based units and pay for them, thus improving the motivation of coal-based units. A case study in Xinjiang province, China, verifies the effectiveness of the planning results of the PPEP model and the profit equilibrium realization of the MMTE mechanism.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142328378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distributed Source-Load-Storage Cooperative Low-Carbon Scheduling Strategy Considering Vehicle-to-Grid Aggregators 考虑车辆到电网聚合器的分布式源-负载-存储合作低碳调度策略

IF 6.3 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-02-28 DOI: 10.35833/MPCE.2023.000742

Xiao Xu;Ziwen Qiu;Teng Zhang;Hui Gao

{"title":"Distributed Source-Load-Storage Cooperative Low-Carbon Scheduling Strategy Considering Vehicle-to-Grid Aggregators","authors":"Xiao Xu;Ziwen Qiu;Teng Zhang;Hui Gao","doi":"10.35833/MPCE.2023.000742","DOIUrl":"https://doi.org/10.35833/MPCE.2023.000742","url":null,"abstract":"The vehicle-to-grid (V2G) technology enables the bidirectional power flow between electric vehicle (EV) batteries and the power grid, making EV-based mobile energy storage an appealing supplement to stationary energy storage systems. However, the stochastic and volatile charging behaviors pose a challenge for EV fleets to engage directly in multi-agent cooperation. To unlock the scheduling potential of EVs, this paper proposes a source-load-storage cooperative low-carbon scheduling strategy considering V2G aggregators. The uncertainty of EV charging patterns is managed through a rolling-horizon control framework, where the scheduling and control horizons are adaptively adjusted according to the availability periods of EVs. Moreover, a Minkowski-sum based aggregation method is employed to evaluate the scheduling potential of aggregated EV fleets within a given scheduling horizon. This method effectively reduces the variable dimension while preserving the charging and discharging constraints of individual EVs. Subsequently, a Nash bargaining based cooperative scheduling model involving a distribution system operator (DSO), an EV aggregator (EVA), and a load aggregator (LA) is established to maximize the social welfare and improve the low-carbon performance of the system. This model is solved by the alternating direction method of multipliers (ADMM) algorithm in a distributed manner, with privacy of participants fully preserved. The proposed strategy is proven to achieve the objective of low-carbon economic operation.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10453376","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140291201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Co-Optimization of Behind-the-Meter and Front-of-Meter Value Streams in Community Batteries 社区电池表后和表前价值流的共同优化

IF 6.3 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-02-28 DOI: 10.35833/MPCE.2023.000746

Carmen Bas Domenech;Antonella Maria De Corato;Pierluigi Mancarella

引用次数: 0

Scenario-Based Optimal Real-Time Charging Strategy of Electric Vehicles with Bayesian Long Short-Term Memory Networks 基于场景的贝叶斯长短期记忆网络优化电动汽车实时充电策略

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-02-26 DOI: 10.35833/MPCE.2023.000512

Hongtao Ren;Chung-Li Tseng;Fushuan Wen;Chongyu Wang;Guoyan Chen;Xiao Li

{"title":"Scenario-Based Optimal Real-Time Charging Strategy of Electric Vehicles with Bayesian Long Short-Term Memory Networks","authors":"Hongtao Ren;Chung-Li Tseng;Fushuan Wen;Chongyu Wang;Guoyan Chen;Xiao Li","doi":"10.35833/MPCE.2023.000512","DOIUrl":"https://doi.org/10.35833/MPCE.2023.000512","url":null,"abstract":"Joint operation optimization for electric vehicles (EVs) and on-site or adjacent photovoltaic generation (PVG) are pivotal to maintaining the security and economics of the operation of the power system concerned. Conventional offline optimization algorithms lack real-time applicability due to uncertainties involved in the charging service of an EV charging station (EVCS). Firstly, an optimization model for real-time EV charging strategy is proposed to address these challenges, which accounts for environmental uncertainties of an EVCS, encompassing EV arrivals, charging demands, PVG outputs, and the electricity price. Then, a scenario-based two-stage optimization approach is formulated. The scenarios of the underlying uncertain environmental factors are generated by the Bayesian long short-term memory (B-LSTM) network. Finally, numerical results substantiate the efficacy of the proposed optimization approach, and demonstrate superior profitability compared with prevalent approaches.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10445407","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Analytical Method for Delineating Feasible Region for PV Integration Capacities in Net-zero Distribution Systems Considering Battery Energy Storage System Flexibility 考虑电池储能系统灵活性的净零配电系统中光伏集成能力可行区域划分分析方法

IF 6.3 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-02-26 DOI: 10.35833/MPCE.2023.000633

Shida Zhang;Shaoyun Ge;Hong Liu;Guocheng Hou;Chengshan Wang

{"title":"An Analytical Method for Delineating Feasible Region for PV Integration Capacities in Net-zero Distribution Systems Considering Battery Energy Storage System Flexibility","authors":"Shida Zhang;Shaoyun Ge;Hong Liu;Guocheng Hou;Chengshan Wang","doi":"10.35833/MPCE.2023.000633","DOIUrl":"https://doi.org/10.35833/MPCE.2023.000633","url":null,"abstract":"To provide guidance for photovoltaic (PV) system integration in net-zero distribution systems (DSs), this paper proposes an analytical method for delineating the feasible region for PV integration capacities (PVICs), where the impact of battery energy storage system (BESS) flexibility is considered. First, we introduce distributionally robust chance constraints on network security and energy/carbon net-zero requirements, which form the upper and lower bounds of the feasible region. Then, the formulation and solution of the feasible region is proposed. The resulting analytical expression is a set of linear inequalities, illustrating that the feasible region is a polyhedron in a high-dimensional space. A procedure is designed to verify and adjust the feasible region, ensuring that it satisfies network loss constraints under alternating current (AC) power flow. Case studies on the 4-bus system, the IEEE 33-bus system, and the IEEE 123-bus system verify the effectiveness of the proposed method. It is demonstrated that the proposed method fully captures the spatio-temporal coupling relationship among PVs, loads, and BESSs, while also quantifying the impact of this relationship on the boundaries of the feasible region.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10445408","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140291195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","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 Fault Diagnosis Method for Smart Meters via Two-Layer Stacking Ensemble Optimization and Data Augmentation 通过双层堆叠集合优化和数据增强实现智能电表故障诊断的方法

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-02-12 DOI: 10.35833/MPCE.2023.000909

Leijiao Ge;Tianshuo Du;Zhengyang Xu;Luyang Hou;Jun Yan;Yuanliang Li

{"title":"A Fault Diagnosis Method for Smart Meters via Two-Layer Stacking Ensemble Optimization and Data Augmentation","authors":"Leijiao Ge;Tianshuo Du;Zhengyang Xu;Luyang Hou;Jun Yan;Yuanliang Li","doi":"10.35833/MPCE.2023.000909","DOIUrl":"10.35833/MPCE.2023.000909","url":null,"abstract":"The accurate identification of smart meter (SM) fault types is crucial for enhancing the efficiency of operation and maintenance (O&M) and the reliability of power collection systems. However, the intelligent classification of SM fault types faces significant challenges owing to the complexity of features and the imbalance between fault categories. To address these issues, this study presents a fault diagnosis method for SM incorporating three distinct modules. The first module employs a combination of standardization, data imputation, and feature extraction to enhance the data quality, thereby facilitating improved training and learning by the classifiers. To enhance the classification performance, the data imputation method considers feature correlation measurement and sequential imputation, and the feature extractor utilizes the discriminative enhanced sparse autoencoder. To tackle the interclass imbalance of data with discrete and continuous features, the second module introduces an assisted classifier generative adversarial network, which includes a discrete feature generation module. Finally, a novel Stacking ensemble classifier for SM fault diagnosis is developed. In contrast to previous studies, we construct a two-layer heuristic optimization framework to address the synchronous dynamic optimization problem of the combinations and hyper-parameters of the Stacking ensemble classifier, enabling better handling of complex classification tasks using SM data. The proposed fault diagnosis method for SM via two-layer stacking ensemble optimization and data augmentation is trained and validated using SM fault data collected from 2010 to 2018 in Zhejiang Province, China. Experimental results demonstrate the effectiveness of the proposed method in improving the accuracy of SM fault diagnosis, particularly for minority classes.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10433422","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141769433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impedance Model for Instability Analysis of LCC-HVDCs Considering Transformer Saturation 考虑变压器饱和的 LCC-HVDC 不稳定性分析阻抗模型

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-02-12 DOI: 10.35833/MPCE.2023.000340

Qin Jiang;Ruiting Xu;Baohong Li;Xiang Chen;Yue Yin;Tianqi Liu;Frede Blaabjerg

{"title":"Impedance Model for Instability Analysis of LCC-HVDCs Considering Transformer Saturation","authors":"Qin Jiang;Ruiting Xu;Baohong Li;Xiang Chen;Yue Yin;Tianqi Liu;Frede Blaabjerg","doi":"10.35833/MPCE.2023.000340","DOIUrl":"10.35833/MPCE.2023.000340","url":null,"abstract":"In line commutated converter based high-voltage direct current (LCC-HVDC) transmission systems, the transformer saturation can induce harmonic instability, which poses a serious threat to the safe operation of the power system. However, the nonlinear characteristics of the power grids introduced by the transformer saturation considerably limit the application of the conventional analysis methods. To address the issue, this paper derives a linear model for the transformer saturation caused by the DC current due to the converter modulation. Afterwards, the nonlinear characteristics of power grids with the transformer saturation is described by a complex valued impedance matrix. Based on the derived impedance matrix, the system harmonic stability is analyzed and the mechanism of the transformer saturation induced harmonic instability is revealed. Finally, the sensitivity analysis is conducted to find the key factors that influence the system core saturation instability. The proposed impedance model is verified by the electromagnetic transient simulation, and the simulation results corroborate the effectiveness of the proposed impedance model.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10433419","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141769434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Low-Carbon Dispatching for Virtual Power Plant with Aggregated Distributed Energy Storage Considering Spatiotemporal Distribution of Cleanness Value 考虑清洁值时空分布的虚拟电厂与聚合分布式储能的低碳调度

IF 6.3 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-02-12 DOI: 10.35833/MPCE.2023.000762

Hongchao Gao;Tai Jin;Guanxiong Wang;Qixin Chen;Chongqing Kang;Jingkai Zhu

{"title":"Low-Carbon Dispatching for Virtual Power Plant with Aggregated Distributed Energy Storage Considering Spatiotemporal Distribution of Cleanness Value","authors":"Hongchao Gao;Tai Jin;Guanxiong Wang;Qixin Chen;Chongqing Kang;Jingkai Zhu","doi":"10.35833/MPCE.2023.000762","DOIUrl":"https://doi.org/10.35833/MPCE.2023.000762","url":null,"abstract":"The scale of distributed energy resources is increasing, but imperfect business models and value transmission mechanisms lead to low utilization ratio and poor responsiveness. To address this issue, the concept of cleanness value of distributed energy storage (DES) is proposed, and the spatiotemporal distribution mechanism is discussed from the perspectives of electrical energy and cleanness. Based on this, an evaluation system for the environmental benefits of DES is constructed to balance the interests between the aggregator and the power system operator. Then, an optimal low-carbon dispatching for a virtual power plant (VPP) with aggregated DES is constructed, where-in energy value and cleanness value are both considered. To achieve the goal, a green attribute labeling method is used to establish a correlation constraint between the nodal carbon potential of the distribution network (DN) and DES behavior, but as a cost, it brings multiple nonlinear relationships. Subsequently, a solution method based on the convex envelope (CE) linear re-construction method is proposed for the multivariate nonlinear programming problem, thereby improving solution efficiency and feasibility. Finally, the simulation verification based on the IEEE 33-bus DN is conducted. The simulation results show that the multidimensional value recognition of DES motivates the willingness of resource users to respond. Meanwhile, resolving the impact of DES on the nodal carbon potential can effectively alleviate overcompensation of the cleanness value.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10433421","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140291142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0