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

Aggregating Additional Flexibility from Combined-Cycle Units for Gas-Power Virtual Power Plants 燃气-电力虚拟电厂联合循环机组的附加灵活性聚合

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-09-01 Epub Date: 2024-09-19 DOI: 10.17775/CSEEJPES.2023.05370

Pengfei Gu;Yixun Xue;Xinyue Chang;Jia Su;Zening Li;Yuan Du;Hongbin Sun

{"title":"Aggregating Additional Flexibility from Combined-Cycle Units for Gas-Power Virtual Power Plants","authors":"Pengfei Gu;Yixun Xue;Xinyue Chang;Jia Su;Zening Li;Yuan Du;Hongbin Sun","doi":"10.17775/CSEEJPES.2023.05370","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.05370","url":null,"abstract":"The high penetration of renewable energy requires greater operational flexibility in the power system. Gas-power virtual power plants (GVPPs) provide a viable method to improve the operational flexibility of the power system by aggregating various distributed resources of integrated gas-power systems. As a crucial component of GVPPs, combined-cycle gas turbines (CCGTs) can provide deep peak shaving capability to the power system by flexible mode switching of combustion turbines (CTs) and steam turbines (STs). Therefore, this paper proposes a two-stage robust aggregation model of GVPP considering CCGTs. The carbon trading mechanism is considered in GVPP so that it can participate in both the energy market (EM) and the carbon trading market (CTM). Due to the existence of binary variables in the second stage of the proposed problem, the traditional column-and-constraint generation (C&CG) algorithm cannot be used to solve it. Therefore, a nested column-and-constraint generation (NC&CG) algorithm is proposed to solve the model with binary variables efficiently. Case studies based on an actual GVPP verify the validity of the proposed model and algorithm.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 5","pages":"2185-2194"},"PeriodicalIF":5.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10684461","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149131960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Frequency Coupling Oscillation Detection and Adaptive Mitigation for MMC-based Grid-connected System 基于mmc的并网系统频率耦合振荡检测与自适应抑制

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-09-01 Epub Date: 2024-09-19 DOI: 10.17775/CSEEJPES.2023.01000

Mingkun Gao;Hailiang Xu;Pingjuan Ge;Chunzhen Liu;Jiabing Hu

{"title":"Frequency Coupling Oscillation Detection and Adaptive Mitigation for MMC-based Grid-connected System","authors":"Mingkun Gao;Hailiang Xu;Pingjuan Ge;Chunzhen Liu;Jiabing Hu","doi":"10.17775/CSEEJPES.2023.01000","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.01000","url":null,"abstract":"The modular multilevel converter (MMC)-based high voltage direct current (HVDC) becomes a preferred solution for large-scale long-distance transmission of renewable energy. However, the interaction between the MMC and grid may induce frequency coupling oscillation, in which a pair of sub- and super-synchronous oscillation components will appear. Particularly, it is difficult to detect and mitigate the frequency coupling oscillation due to the strong coupling characteristics between the sub- and super-synchronous components. To deal with such an issue, this paper proposes a fast detection method for the frequency coupling oscillation, which can eliminate the influence of the DC component effectively. In addition, a parameter-tuning approach for the oscillation detection is provided to achieve a balance between the accuracy and dynamic performance. Thereupon, an adaptive frequency coupling oscillation mitigation strategy is proposed, which can improve the system damping characteristic and enhance the stability margin. Finally, time-domain simulations are performed to verify the effectiveness of the proposed method.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 5","pages":"2453-2466"},"PeriodicalIF":5.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10684525","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149133920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Subsequent Commutation Failure Suppression Control for LCC-HVDC System Based on Fuzzy Clustering 基于模糊聚类的LCC-HVDC后续换相故障抑制控制

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-09-01 Epub Date: 2024-02-14 DOI: 10.17775/CSEEJPES.2022.05740

Chunyi Guo;Quan Ye;Xiuyu Chen;Chengyong Zhao

{"title":"Subsequent Commutation Failure Suppression Control for LCC-HVDC System Based on Fuzzy Clustering","authors":"Chunyi Guo;Quan Ye;Xiuyu Chen;Chengyong Zhao","doi":"10.17775/CSEEJPES.2022.05740","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.05740","url":null,"abstract":"Line-commutated converter-based high voltage direct current (LCC-HVDC) may experience subsequent commutation failure (SCF) following a first commutation failure (CF). The SCF could create a series of serious disturbances to the AC grid and DC system, which may lead to large power reduction or even system instability issues. To prevent its occurrence, this paper proposes an SCF suppression control strategy based on fuzzy clustering and identification approach. First of all, the similar dynamic behavior of DC side electrical quantities in different types of AC faults at the inverter side is revealed and validated by theoretical analysis and simulation. Then, transient response information of the selected DC side electrical quantities at the rectifier side is collected in an offline preset specific AC fault. To identify the inverter transient stage, a mapping relationship between the selected DC side electric quantities during the transient stages of the preset fault conditions is established by the fuzzy c-means (FCM) clustering algorithm. Finally, an approach to inhibit SCF by directly adjusting the firing angle at the rectifier side is proposed based on the mapping relationship. Simulation results show the proposed control method, which is realized by detecting the local DC-side electrical quantities at the rectifier side and quickly identifying the transient stage of the inverter, can effectively inhibit SCF by directly regulating the rectifier firing angle.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 5","pages":"2415-2424"},"PeriodicalIF":5.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10436602","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149131014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Coordinated Expansion Planning of AC Network and Synchronous Condenser for Receiving-End Grids with Multi-Infeed UHVDC Links 多馈特高压直流接收端电网交流网络与同步冷凝器的协调扩容规划

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-09-01 Epub Date: 2024-02-27 DOI: 10.17775/CSEEJPES.2022.06530

Buqing Deng;Yunfeng Wen

{"title":"Coordinated Expansion Planning of AC Network and Synchronous Condenser for Receiving-End Grids with Multi-Infeed UHVDC Links","authors":"Buqing Deng;Yunfeng Wen","doi":"10.17775/CSEEJPES.2022.06530","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.06530","url":null,"abstract":"Ultra-high-voltage direct current (UHVDC) transmission links and renewable generation are being increasingly infed to many regional receiving-end grids in China. To ensure secure accommodation of the intensive high-capacity UHVDC, the AC network strength and Var resource margin of the receiving-end grid should be significantly enhanced. This study proposed a distributionally robust coordinated planning (DRCP) model, which simultaneously considers transmission expansion and synchronous condenser configuration with multi-preconceived UHVDC incident security requirements. Network strength and dynamic Var resources sufficiency, as well as transient frequency and voltage security constraints are comprehensively incorporated within the model to mitigate operating risks caused by UHVDC bi-pole blocking and commutation failures. The proposed model is formulated as a mixed-integer second-order cone programming, and a solution approach based on column-and-constraint generation is developed to solve this problem. Effectiveness of the proposed DRCP model was verified using a modified IEEE 39-bus system and a large-scale provincial grid in China.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 5","pages":"2380-2393"},"PeriodicalIF":5.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10452304","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149131080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Packet Payload Anomaly Detection Approach for Cyber-physical Power Systems 网络物理电力系统的包有效载荷异常检测方法

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-09-01 Epub Date: 2023-09-08 DOI: 10.17775/CSEEJPES.2022.06550

Tao Yang;Bingjing Yan;Qiang Yang;Wenhai Wang

{"title":"Packet Payload Anomaly Detection Approach for Cyber-physical Power Systems","authors":"Tao Yang;Bingjing Yan;Qiang Yang;Wenhai Wang","doi":"10.17775/CSEEJPES.2022.06550","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.06550","url":null,"abstract":"Cyber-Physical Power Systems (CPSSs) are the integration of state-of-the-art Information and Communication Technologies (ICT) and power systems. A sophisticated attacker can launch cyber-physical attacks on CPPS, i.e., invading the cyber system illegally to cause catastrophes in physical power systems. Therefore, effective and timely anomaly detection is critical for ensuring the normal operation of CPPS. This paper proposed a network traffic packet payload anomaly detection approach for CPPS, consisting of a data preprocessing model, a Self-Adaptive Dynamic Segmentation (SADS) model and a classification model. The data preprocessing model can filter massive packets and convert payloads into characters based on American Standard Code for Information Interchange (ASCII) codes. The SADS model is composed of a language method and an optimization method that can calculate the maximum probability path and obtain segmented payload as the input of the classification model. The packet payload contains complex semantic information. A classification model is developed to learn long-term and short-term dependence relationships by combining Bidirectional Encoder Representation from Transformers (BERT) with a 1D-Convolutional Neural Network (1D-CNN). The proposed packet payload anomaly detection approach is evaluated in a CPPS testbed. Experiments demonstrate that the proposed detection approach achieves real-time detection and better classification results compared with two existing anomaly detection models.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 5","pages":"2585-2593"},"PeriodicalIF":5.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10246173","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149133672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Model-Free Multiple Energy Flow Calculation Using Edge-Enhanced Heterogeneous Graph Attention Mechanism 基于边缘增强异构图注意机制的无模型多能流计算

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-09-01 Epub Date: 2026-07-03 DOI: 10.17775/CSEEJPES.2025.07460

Xiao Hu;Jinduo Yang;Yang Gao;Yiyan Li;Qingyuan Zhang;Jin Zhao

{"title":"Model-Free Multiple Energy Flow Calculation Using Edge-Enhanced Heterogeneous Graph Attention Mechanism","authors":"Xiao Hu;Jinduo Yang;Yang Gao;Yiyan Li;Qingyuan Zhang;Jin Zhao","doi":"10.17775/CSEEJPES.2025.07460","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2025.07460","url":null,"abstract":"Multiple energy flow calculation (MEFC) serves as a fundamental technology within Integrated Energy Systems (IESs). Nevertheless, MEFC has faced increasing challenges due to the complex coupling among heterogeneous energy sources, information constraints, and extreme scenarios. This study proposes a data-driven approach for the MEFC task based on an edge-enhanced heterogeneous graph attention mechanism (EEHGAT). A heterogeneous graph structure is first employed to model the electricity-gas-heat coupled IES with three types of nodes and four types of edges. Then, a dual-model architecture comprising a node model and an edge model is constructed. This architecture aims to fully map MEFC information while simultaneously preventing error accumulation. Subsequently, a multitask learning framework incorporating a variable-weight loss function is integrated to enhance the flexibility of the training process. Moreover, visualized interpretability is developed to de-mystify the “black-box” nature of the neural network. Numerical results demonstrate that the Mean Absolute Percentage Error (MAPE) for the proposed node and edge models is 0.1012% and 0.2060%, respectively. Meanwhile, under conditions such as measurement errors, information limitations, and extreme scenarios, the proposed method exhibits greater adaptability and robustness than the Newton-Raphson method and traditional data-driven methods.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 5","pages":"2543-2554"},"PeriodicalIF":5.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11595378","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149133812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Risk-averse Planning and Evaluation for Park-level Integrated Energy System Considering Seasonal Correlation of Uncertain Energy Prices 考虑不确定能源价格季节相关性的园区级综合能源系统风险规避规划与评价

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-09-01 Epub Date: 2024-03-03 DOI: 10.17775/CSEEJPES.2022.08330

Yunfei Mu;Congshan Wang;Mingshen Wang;Hongjie Jia;Xiaodan Yu

{"title":"Risk-averse Planning and Evaluation for Park-level Integrated Energy System Considering Seasonal Correlation of Uncertain Energy Prices","authors":"Yunfei Mu;Congshan Wang;Mingshen Wang;Hongjie Jia;Xiaodan Yu","doi":"10.17775/CSEEJPES.2022.08330","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.08330","url":null,"abstract":"Due to the liberalization of energy markets, energy prices are volatile and plagued with strong uncertainties. In this context, park-level integrated energy system (PIES) planning is confronted with potential cost variation risks caused by uncertain energy prices and does not know the strength of planning results to resist risks. This paper proposes a risk-averse planning and evaluation method for PIESs considering uncertainties in natural gas price (NGP) and electricity price (EP). Based on the seasonal variation characteristics and correlation between NGP and EP, the dynamic conditional correlation (DCC) model and copula theory are used to formulate a seasonal joint probability distribution of NGPs and EPs for price scenario generation. Then, conditional value-at-risk (CVaR) is introduced to quantify the risk of cost variation, and a CVaR-based planning model that considers uncertainties of energy prices is developed. Under the generated joint price scenarios, the planning schemes at different confidence levels are determined by minimizing the CVaR of the total cost (including investment, fuel, and maintenance costs). By introducing a margin of safety ratio (MSR) index, the risk-averse ability to uncertain energy prices of the planning scheme is evaluated to support decision-making. Finally, a case study is conducted to validate the effectiveness of the proposed planning method.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 5","pages":"2555-2568"},"PeriodicalIF":5.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520192","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149133825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Power-flow-embedded Projection Conic Matrix Completion for Low-observable Distribution Systems 低可观测配电系统的嵌入潮流投影二次矩阵补全

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-09-01 Epub Date: 2025-08-22 DOI: 10.17775/CSEEJPES.2024.03830

Xuzhuo Wang;Guoan Yan;Zhengshuo Li

引用次数: 0

Decentralized Robust Co-Optimization of P2P Energy Trading and Integrated Electricity-Heat-Gas-Hydrogen System Planning P2P能源交易的分散鲁棒协同优化与电-热-气-氢一体化系统规划

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-07-01 Epub Date: 2024-03-03 DOI: 10.17775/CSEEJPES.2022.08430

Zhoujun Ma;Zheng Xu;Yuping Zheng;Zhi Wu;Jin Ye;Weican Zu;Pengcheng Hu

{"title":"Decentralized Robust Co-Optimization of P2P Energy Trading and Integrated Electricity-Heat-Gas-Hydrogen System Planning","authors":"Zhoujun Ma;Zheng Xu;Yuping Zheng;Zhi Wu;Jin Ye;Weican Zu;Pengcheng Hu","doi":"10.17775/CSEEJPES.2022.08430","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.08430","url":null,"abstract":"The cooperative optimization of multi-stakeholders contributes significantly to the optimal planning of different integrated electricity-heat-gas-hydrogen (IEHGH) investors. The peer-to-peer (P2P) transaction promotes multi-agent planning toward a more economical and interdependent solution. This paper proposes a decentralized robust planning model for multiple IEHGHs, considering the uncertainty of renewable energy sources (RES) and bilateral transactions. First, a robust linear counterpart of RES is adopted to model the short-term uncertainty in typical scenarios to ensure robustness and computation efficiency. Then, a decentralized shadow pricing strategy based on a combined alternating optimization procedure (AOP) and alternating direction multiplier method (ADMM) is developed to handle the non-convexity and protect privacy. The minimization of social cost and convergence of the proposed strategy are guaranteed through theoretical proof. Finally, comparative case studies on three interconnected IEHGHs demonstrate the effectiveness of the proposed co-planning method.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 4","pages":"2060-2072"},"PeriodicalIF":5.6,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520176","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148747330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Energy Storage Planning for Rooftop PV Systems Considering Energy Sharing 考虑能源共享的屋顶光伏系统储能规划

IF 5.6 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2026-07-01 Epub Date: 2024-02-14 DOI: 10.17775/CSEEJPES.2022.04670

Zongyao Zhu;Xiuli Wang;Xiong Wu;Jiyao He;Xianlong Chen;Yifei Wang

{"title":"Energy Storage Planning for Rooftop PV Systems Considering Energy Sharing","authors":"Zongyao Zhu;Xiuli Wang;Xiong Wu;Jiyao He;Xianlong Chen;Yifei Wang","doi":"10.17775/CSEEJPES.2022.04670","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.04670","url":null,"abstract":"This article proposes a battery energy storage (BES) planning model for rooftop photovoltaic (PV) systems in an energy building cluster. One innovative contribution is that an energy sharing mechanism is integrated with the BES planning model to study cooperative benefits between the PV owner and users, and meanwhile facilitate the reasonable installation of BES. In particular, the conditional value-at-risk (CVaR) is introduced to characterize the individual risk-preference degree of users against the uncertainties of electricity price. To enhance the computation efficiency and capture the interaction between the PV owner and users, the original problem is decomposed into a major energy trading problem and an additional payment bargaining problem. Specifically, the energy trading problem is solved in a distributed way to find the optimal BES sizing and energy sharing profiles; while an effective analytical method is derived to determine the associated payment scheme. Case studies verify the feasibility and effectiveness of the proposed model. The simulation results indicate that the cooperation operation increases revenues for the PV owner, decreases costs for users, and reduces the peak-to-valley difference of system load. The optimal sizing of BES is mainly affected by the scale of PV generation and the energy trading mode. In addition, it is proved that the proposed algorithm can effectively obtain a global optimal solution.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 4","pages":"1847-1859"},"PeriodicalIF":5.6,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10436614","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148749051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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