Sustainable Energy Grids & Networks最新文献_第4页

Cooperative trading in smart-grid networks 智能电网中的协同交易

IF 5.6 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-09-10 DOI: 10.1016/j.segan.2025.101965

Pragya Shrivastava , Neminath Hubballi , Sameer G. Kulkarni

{"title":"Cooperative trading in smart-grid networks","authors":"Pragya Shrivastava , Neminath Hubballi , Sameer G. Kulkarni","doi":"10.1016/j.segan.2025.101965","DOIUrl":"10.1016/j.segan.2025.101965","url":null,"abstract":"<div><div>Continuous Double Auction (CDA) methods provide an efficient mechanism for price matching between buyers and sellers. Hence, these techniques have been adopted in smart-grid and micro-grid scenarios for Peer-to-Peer (P2P) energy trading. However, existing CDA methods either violate the natural ordering of P2P trading or introduce considerable overhead or make unrealistic assumptions about the underlying communication setup. In this paper, we introduce a CDA method involving trading agents that are coordinated with token allocation system for participation in the smart-grid market. Our proposed trading mechanism minimizes the natural order violations in the trading, and can recover from issues like token loss arising due to node or network connectivity issues. We provide algorithms for different operations of the CDA such as token request, token allocation, trading, <em>etc</em>. The proposed CDA mechanism has been evaluated with publicly available energy demand data and compared with another CDA method to show that it reduces natural ordering violations. Subsequently, we describe a variant of the CDA method where bids/asks from different participants are queued up for potential future price matches, thereby elaborating the scope for P2P trade. Both CDA variants can scale to large number of participants and can also work with heterogeneous bidding strategies adopted by clients.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"44 ","pages":"Article 101965"},"PeriodicalIF":5.6,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A new multi-objective multi-energy optimization model in the urban-industrial symbiosis network using LARG supply chain approach 基于LARG供应链方法的城市-工业共生网络多目标多能量优化模型

IF 5.6 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-09-10 DOI: 10.1016/j.segan.2025.101958

Milad Namayan Marghoob , Amir Mohammad Fakoor Saghih , Hamid Afshari , Morteza Pakdaman

{"title":"A new multi-objective multi-energy optimization model in the urban-industrial symbiosis network using LARG supply chain approach","authors":"Milad Namayan Marghoob , Amir Mohammad Fakoor Saghih , Hamid Afshari , Morteza Pakdaman","doi":"10.1016/j.segan.2025.101958","DOIUrl":"10.1016/j.segan.2025.101958","url":null,"abstract":"<div><div>Urban-industrial symbiosis represents a novel approach within the circular economy, promoting synergy in resource development and management between adjacent urban and industrial areas. A particular form, energy-based symbiosis, emphasizes the integrated supply of energy across these areas. This paper presents a new model for multi-energy optimization within an urban-industrial symbiosis energy network. The model enables the integrated supply of electrical, heating, cooling, and hydrogen to both industrial and residential sectors. To achieve this, we formulated an optimization problem focused on determining optimal equipment capacities and energy flow. A key innovation is the integration of LARG supply chain paradigms into the energy network modeling: lean (i.e., cost minimization), agile (i.e., shifted demand minimization), resilient (i.e., addressing uncertainties in energy demand and renewable energy generation), and green (i.e., CO<sub>2</sub> emissions minimization). The problem was modeled using multi-objective approach, and numerical simulations were conducted on an urban-industrial symbiosis area, accounting for seasonal and daily demand variations. The results illustrate the optimal distribution of energy flow throughout the day and across seasons. The objective function values highlight the inherent trade-offs between the LARG paradigms. The chosen solution for the multi-objective problem effectively balances these objectives, achieving a 55 % reduction in shifted demand and a 22 % reduction in CO<sub>2</sub> emissions, with only a 5 % increase in costs. The findings also emphasize the importance of fostering synergies between optimization strategies for industrial symbiosis networks and energy policy-making, to simultaneously enhance energy security and environmental sustainability.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"44 ","pages":"Article 101958"},"PeriodicalIF":5.6,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145059899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impedance-based stability analysis of MW-sized inverter-based resources connected to weak grids considering phase delay compensation 考虑相位延迟补偿的兆瓦级逆变器资源接入弱电网的阻抗稳定性分析

IF 5.6 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-09-10 DOI: 10.1016/j.segan.2025.101961

Pietro Cepollini, Fabio D’Agostino

{"title":"Impedance-based stability analysis of MW-sized inverter-based resources connected to weak grids considering phase delay compensation","authors":"Pietro Cepollini, Fabio D’Agostino","doi":"10.1016/j.segan.2025.101961","DOIUrl":"10.1016/j.segan.2025.101961","url":null,"abstract":"<div><div>The operation of inverter-based resources connected to weak grids poses stability challenges. For megawatt-sized converters, the limitations imposed in terms of switching frequency result in non-negligible delays introduced by the digital implementation of the control system. These delays impact both system design and small-signal stability limits. To allow the proper characterization of the study, an investigation of bottom-up design approaches and best practices is conducted for selecting per-unit parameters. An in-depth analytical impedance-based modeling of the resource is performed to account for the proper representation of components and control system in the synchronous-reference frame, including control and modulation delays that result in axis coupling. A phase delay compensation technique is proposed and implemented within a modified current controller. The impedance-based stability analysis is performed through the application of the generalized Nyquist criterion to assess the maximum power that the resource can deliver during weak grid operations. The analysis shows that the proposed phase delay compensation technique effectively extends the small-signal stability limit of the inverter-based resource. The methodology is validated through the state-space eigenvalue analysis, and a set of EMT simulations. Finally, results are validated using a control hardware-in-the-loop experimental setup, which employs a real-time FPGA-based simulation platform and an actual converter controller.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"44 ","pages":"Article 101961"},"PeriodicalIF":5.6,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Triple-stage coordinated planning for electricity and heat integrated energy system considering detailed modeling of generalized energy storages 考虑广义储能详细建模的电、热一体化能源系统三阶段协调规划

IF 5.6 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-09-10 DOI: 10.1016/j.segan.2025.101964

Changming Chen , Shunjiang Yu , Yunchu Wang , Chengeng Niu , Zhenzhi Lin , Li Yang

{"title":"Triple-stage coordinated planning for electricity and heat integrated energy system considering detailed modeling of generalized energy storages","authors":"Changming Chen , Shunjiang Yu , Yunchu Wang , Chengeng Niu , Zhenzhi Lin , Li Yang","doi":"10.1016/j.segan.2025.101964","DOIUrl":"10.1016/j.segan.2025.101964","url":null,"abstract":"<div><div>In the context of Energy Internet, the planning of electricity and heat integrated energy systems (EHIESs) from scratch supported by generalized energy storage (GES) is expected to be a significant trend. Addressing the challenges of coordinating energy stations and energy supply network planning, a triple-stage coordinated planning method for EHIES considering detailed modeling of GES is proposed in this paper. In the first stage, an energy station location and supply area partitioning optimization submodel is proposed to minimize the sum of the products of the Manhattan distances. In the second stage, the energy supply route topology planning optimization submodel considering shared routes is proposed, aiming to minimize the sum of the comprehensive energy moments. In the third stage, an equipment capacity planning and pipeline selection optimization submodel for energy stations is proposed, incorporating detailed modeling of GES. This stage builds upon the optimization results derived from the first two stages, focusing on minimizing the total planning and operating costs of the EHIES. Case studies on an improved 55-bus EHIES and the larger-scale 205-bus EHIES are conducted, and simulation results demonstrate that the proposed method reduces the total planning and operating costs by 0.12–1.4 % compared to other similar planning methods.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"44 ","pages":"Article 101964"},"PeriodicalIF":5.6,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145059896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A hybrid model predictive control-deep reinforcement learning algorithm with application to plug-in electric vehicles smart charging 混合模型预测控制-深度强化学习算法在插电式电动汽车智能充电中的应用

IF 5.6 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-09-09 DOI: 10.1016/j.segan.2025.101963

Francesco Liberati, Mohab M.H. Atanasious, Emanuele De Santis, Alessandro Di Giorgio

{"title":"A hybrid model predictive control-deep reinforcement learning algorithm with application to plug-in electric vehicles smart charging","authors":"Francesco Liberati, Mohab M.H. Atanasious, Emanuele De Santis, Alessandro Di Giorgio","doi":"10.1016/j.segan.2025.101963","DOIUrl":"10.1016/j.segan.2025.101963","url":null,"abstract":"<div><div>This paper focuses on a novel use of deep reinforcement learning (RL) to optimally tune in real-time a model predictive control (MPC) smart charging algorithm for plug-in electric vehicles (PEVs). The coefficients of the terminal cost function of the MPC algorithm are updated online by a neural network, which is trained offline to maximize the control performance (linked to the satisfaction of the users’ charging preferences and the tracking of a power reference profile, at PEV fleet level). This approach is different and more flexible compared to most of the other approaches in the literature, which instead use deep RL to fix offline the MPC parametrization. The proposed method allows one to select a shorter MPC control window (compared to standard MPC) and/or a shorter sampling time, while improving the control performance. Simulations are presented to validate the approach: the proposed MPC-RL controller improves control performance by an average of 4.3 % compared to classic MPC, while having a lower computing time.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"44 ","pages":"Article 101963"},"PeriodicalIF":5.6,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145059900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hierarchical collaborative control for real-time economic dispatch and accurate frequency regulation of AC islanded microgrid 交流孤岛微电网实时经济调度与精确调频的分层协同控制

IF 5.6 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-09-09 DOI: 10.1016/j.segan.2025.101966

Lei Huang, Wei Sun, Qian Zhang, Qiyue Li, Weitao Li

{"title":"Hierarchical collaborative control for real-time economic dispatch and accurate frequency regulation of AC islanded microgrid","authors":"Lei Huang, Wei Sun, Qian Zhang, Qiyue Li, Weitao Li","doi":"10.1016/j.segan.2025.101966","DOIUrl":"10.1016/j.segan.2025.101966","url":null,"abstract":"<div><div>In islanded microgrids (IMGs) characterized by a significant proportion of renewable energy, real-time economic dispatch and frequency control coordination are paramount. Conventional grid-forming (GFM) control methods fail to ensure that renewable distributed generators (RDGs) operate at their maximum power point (MPP), leading to suboptimal economic performance. Conversely, grid-following (GFL) control methods prevent RDGs from participating in frequency regulation, resulting in diminished frequency stability. To address this challenge, this paper introduces a hierarchical collaborative control strategy for real-time dispatch and frequency control in IMGs. The proposed strategy adopts a hierarchical control architecture, comprising primary control, secondary control, and real-time dispatch layers. The real-time dispatch layer employs the proposed distributed algorithm to determine the economically optimal output power for each dispatchable unit. Meanwhile, the primary and secondary control layers utilize decentralized algorithms to regulate the frequency and control the output power based on real-time dispatch outcomes. In the proposed strategy, RDGs are capable of participating in frequency regulation while operating at their MPP, thereby ensuring both stability and economic efficiency in high-penetration renewable IMGs. Test results demonstrate that compared to existing strategies, the proposed strategy achieves more comprehensive control performance, encompassing economically optimal real-time dispatch and accurate frequency control.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"44 ","pages":"Article 101966"},"PeriodicalIF":5.6,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145059897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The dynamic online bilateral path planning algorithm based-on Stackelberg game for electric vehicles with charging induction strategy 基于Stackelberg博弈的电动汽车充电感应动态在线双边路径规划算法

IF 5.6 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-09-05 DOI: 10.1016/j.segan.2025.101952

Liyue Fu , Min Ouyang , Tong Wang , Shan Gao , Xiaofeng Yin

引用次数: 0

Critical contingencies-aware conic AC transmission network expansion and reactive power co-planning 临界事故感知的圆锥交流输电网络扩容与无功协同规划

IF 5.6 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-09-05 DOI: 10.1016/j.segan.2025.101960

Milad Boruni , Majid Torabi , Mohammad Amin Latify , G.Reza Yousefi , Jamshid Aghaei

{"title":"Critical contingencies-aware conic AC transmission network expansion and reactive power co-planning","authors":"Milad Boruni , Majid Torabi , Mohammad Amin Latify , G.Reza Yousefi , Jamshid Aghaei","doi":"10.1016/j.segan.2025.101960","DOIUrl":"10.1016/j.segan.2025.101960","url":null,"abstract":"<div><div>Economic and environmental constraints limit new transmission line installations, forcing operators to maximize existing infrastructure utilization while considering voltage support, AC power flow (ACPF) equations, and N-1 reliability, which significantly increase computational complexity. This paper presents a computationally efficient model and solution approach for static transmission network expansion planning (TEP) based on ACPF equations and incorporating the N-1 reliability criterion for active and reactive power supply. To improve efficiency, a reactive power planning (RPP) proxy is integrated into the model to reduce unnecessary line expansion by coordinating reactive power source deployment. The problem is formulated as a mixed integer second-order cone programming (MISOCP) model, factoring in contingencies across all existing and candidate transmission lines. Only a small subset of transmission line outages results in operational constraint violations. Therefore, ensuring reliability for critical contingencies suffices, as considering all increases complexity. Thus, a critical contingency screening approach is proposed in which critical cases are identified by sequentially solving a master problem and sub-problem. The master problem resembles the original MISOCP, but includes only a subset of contingencies, gradually expanded through iterations. The sub-problem uses bi-level Max-Min optimization to screen the worst contingencies causing the worst operational constraint violations. These worst contingencies are progressively added to the master problem, ensuring the final subset accurately represents the full set of contingencies upon convergence. Numerical results on Garver and IEEE 118-Bus test systems demonstrate the proposed approach’s efficiency in solving the proposed TEP model within the acceptable time frame.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"44 ","pages":"Article 101960"},"PeriodicalIF":5.6,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145048447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal security-constrained scheduling of a renewable energy-based multi-microgrid with compressed air energy storage and demand response 具有压缩空气储能和需求响应的可再生能源多微电网最优安全约束调度

IF 5.6 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-09-04 DOI: 10.1016/j.segan.2025.101959

Himanshu Raj , Supriya Jaiswal , Pranda Prasanta Gupta , Atul Jaysing Patil

{"title":"Optimal security-constrained scheduling of a renewable energy-based multi-microgrid with compressed air energy storage and demand response","authors":"Himanshu Raj , Supriya Jaiswal , Pranda Prasanta Gupta , Atul Jaysing Patil","doi":"10.1016/j.segan.2025.101959","DOIUrl":"10.1016/j.segan.2025.101959","url":null,"abstract":"<div><div>The operation of a multi-microgrid (MG) is exposed to random failures as well as high uncertainties from renewable energy sources (RESs) and load. The stochastic method encompasses multiple uncertainties, including wind speed, electricity price, solar irradiation, and load demand. Moreover, a scenario reduction approach is employed to mitigate computational complexity in stochastic optimization by selecting a representative subset of scenarios. CAES presents a flexible solution for managing transmission congestion and consuming renewable energy. Compressed air energy storage system (CAES) integration and multi-MG operation of security-constrained unit commitment (SCUC) are becoming increasingly important in these networks due to the extensive use of renewable energy. This paper proposes a stochastic SCUC multi-MG dispatch model to coordinate CAES with a demand response (DR) program, ensuring system flexibility under uncertain scenarios while maintaining operational cost-effectiveness. The DR program might flatten the load curve and move energy use from peak to off-peak hours. This integration aims to reduce total costs, minimize renewable curtailment, and enhance voltage profile and stability. The model employs a mixed-integer quadratically constrained programming (MIQCP) approach and a Bender decomposition technique to achieve a global optimum solution with minimal computational time. The benefits of the proposed model are examined through various case studies implemented on the IEEE 30-bus and IEEE 118-bus systems. The findings show that the total cost is reduced by 6.981 %, voltage stability improves by 5.32 %, and voltage deviations decrease by 30.22 % in the presence of renewable power and CAESs, considering the DR program compared to the base case.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"44 ","pages":"Article 101959"},"PeriodicalIF":5.6,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145010660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

EV charging strategies for office parking lots to relieve local grids 办公停车场电动汽车充电策略缓解地方电网压力

IF 5.6 2区工程技术

Sustainable Energy Grids & Networks Pub Date : 2025-09-03 DOI: 10.1016/j.segan.2025.101942

Hitesh Kumar Verma, Nikhil Gupta, Praveen Kumar Agrawal, K.R. Niazi, Anil Swarnkar

{"title":"EV charging strategies for office parking lots to relieve local grids","authors":"Hitesh Kumar Verma, Nikhil Gupta, Praveen Kumar Agrawal, K.R. Niazi, Anil Swarnkar","doi":"10.1016/j.segan.2025.101942","DOIUrl":"10.1016/j.segan.2025.101942","url":null,"abstract":"<div><div>High penetration of electric cars in urban areas may lead to concentrated and uncoordinated heavy EV charging demand in residential areas of the distribution systems. This demand may coincide with the peak demand of the system and consequently poses issues pertaining to reliability, power quality, security, and the difficult operation of stressed distribution systems. Office Parking Lots (OPLs) equipped with adequate EV charging facilities have been seen as one of the tangible solutions to cope with such irresistible situations if found financially viable.</div><div>This work proposes two charging strategies, uncoordinated EV charging (UEVC) and coordinated EV charging (CEVC), for OPLs to minimize the impact of EV charging demand on local grids by placing suitable capacity of distributed energy resources (DERs) such as solar photovoltaic (SPVs) and battery energy storage systems (BESS). The proposed CEVC strategy schedules EVs considering mean generation from the grid-connected rooftop SPV system and the state-of-charge of BESS and aligns EV charging demand with SPV generation. Further, the proposed model is tested on an 83-bus real distribution system to investigate the impact of OPL integration on the system’s technical parameters, such as peak demand, total energy losses, peak power loss, and node voltage deviation. Moreover, the techno-economic benefits of both strategies are compared, and EV parking charges are calculated while considering the profit for OPL owners. Simulation results show that the proposed CEVC strategy reduces the OPL’s annual grid energy import, OPL’s annual peak demand, total system energy losses, and parking charge by 85 %, 65 %, 20 %, and 11 %, respectively, when compared with UEVC without DERs. Moreover, despite heavy investment in DERs’ placement at OPL, the proposed charging strategies preserve the benefit of the utility and OPL owners, yet offer more competitive EV parking charges.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"44 ","pages":"Article 101942"},"PeriodicalIF":5.6,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145026457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0