IEEE Transactions on Sustainable Energy最新文献_第4页

Station-Network Cooperative Optimization Planning of Urban Integrated Energy System Considering Heat Storage Capacity of Heat Network 考虑热网蓄热能力的城市综合能源系统站网协同优化规划

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-17 DOI: 10.1109/TSTE.2025.3542549

Shunjiang Yu;Changming Chen;Yunchu Wang;Hongfei Yu;Chuanxun Pei;Jiaorong Ren;Li Yang;Zhenzhi Lin

{"title":"Station-Network Cooperative Optimization Planning of Urban Integrated Energy System Considering Heat Storage Capacity of Heat Network","authors":"Shunjiang Yu;Changming Chen;Yunchu Wang;Hongfei Yu;Chuanxun Pei;Jiaorong Ren;Li Yang;Zhenzhi Lin","doi":"10.1109/TSTE.2025.3542549","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3542549","url":null,"abstract":"Heat storage capacity of heat network in urban integrated energy system (UIES) has the potential to significantly improve the operational flexibility of the system. To obtain the optimal UIES planning scheme, a UIES station-network cooperative optimization planning (UIES-SNCOP) method considering heat storage capacity is proposed. First, a heat network operation model under constant flow-variable temperature considering flow direction depiction is established for solving the problem that the existing model cannot be directly applied to UIES-SNCOP because the flow direction of pipeline cannot be predetermined. Then, a radial structure-oriented topology model of distribution and heat networks is developed to ensure the radiality of energy supply network while also reducing planning cost. On this basis, a UIES-SNCOP model based on information gap decision theory and stochastic optimization is constructed to realize the co-optimization of the siting and sizing of energy station and topology of distribution and heat networks. Finally, a solution method of UIES-SNCOP model based on relaxation-contraction coupled McCormick envelope is proposed for effectively improving the accuracy of solution result. The planning of UIES is conducted on an urban topology containing 55 nodes to test the performance of the proposed method, and simulation results indicate that the proposed method outperforms other existing methods in terms of reducing planning cost, ensuring radial structure of the energy supply network, utilizing heat storage capacity and enhancing solution accuracy.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"1956-1976"},"PeriodicalIF":8.6,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Two-Stage Adaptive Robust Model for AC Network-Constrained Unit Commitment in Power Systems With Uncertain Wind Power 风电不确定条件下交流网络约束机组承诺的两阶段自适应鲁棒模型

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-17 DOI: 10.1109/TSTE.2025.3542899

Siqi Wang;Xin Zhang;Min Du;Wei Pei

{"title":"Two-Stage Adaptive Robust Model for AC Network-Constrained Unit Commitment in Power Systems With Uncertain Wind Power","authors":"Siqi Wang;Xin Zhang;Min Du;Wei Pei","doi":"10.1109/TSTE.2025.3542899","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3542899","url":null,"abstract":"With wind power being extensively integrated into power systems, its inherent uncertainty and variability pose significant challenges to the power system operational security. Traditional robust optimization methods capture the worst-case scenario, which results in overly conservative decisions, with insufficient considerations on AC network constraints in power systems. To overcome this issue, this paper proposes a novel adaptive robust AC network-constrained unit commitment (AC-NCUC) model that considers both the AC network security and the uncertainty of wind power output in power systems. More specifically, a convex polyhedral uncertainty set is constructed to characterize the uncertain wind power output. Here, the conservativeness of UC dispatch decisions can be adjusted by modifying the size of the convex polyhedral uncertainty set. Then, we combine Benders’ decomposition and Newton-Raphson methods to solve the AC-NCUC model for the optimal dispatch decisions. Simulation results on the modified IEEE 6-bus and IEEE RTS 79 systems validate the rationality and validity of our proposed approach. The proposed AC-NCUC model effectively maintains the system security while ensuring economic effectiveness.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"1977-1989"},"PeriodicalIF":8.6,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Integration of Electrical Energy Storage in Wave Energy Hardware-in-the-Loop Test Rigs 波浪能半实物试验台架中电能存储的集成

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-14 DOI: 10.1109/TSTE.2025.3542296

Paula B. Garcia-Rosa;Rene A. Barrera-Cardenas;Giacomo Alessandri;Federico Gallorini;Mairead A. Cruz;Joao Cruz;Salvatore D'Arco

{"title":"Integration of Electrical Energy Storage in Wave Energy Hardware-in-the-Loop Test Rigs","authors":"Paula B. Garcia-Rosa;Rene A. Barrera-Cardenas;Giacomo Alessandri;Federico Gallorini;Mairead A. Cruz;Joao Cruz;Salvatore D'Arco","doi":"10.1109/TSTE.2025.3542296","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3542296","url":null,"abstract":"This paper presents a design methodology for integrating an electrical energy storage unit into a hardware-in-the-loop (HIL) test rig for wave energy converters (WECs). Typically, the power production from WECs is characterised by pronounced fluctuations at low frequency and high peaks compared to the average. Wave energy test rigs should be able to reproduce these variations to impose realistic conditions to the device under test. Thus, the grid connection of the rig must be sized to cope with high peaks, and additional measures may be required to avoid disturbances on nearby loads and negative effects on voltage quality. The integration of electrical energy storage can smoothen power fluctuations and mitigate these drawbacks, while resulting in lower installation and operating costs. The design methodology indicates how to effectively size the storage unit and which technology to favour based on the type and duration of test campaigns. Numerical simulation results are presented for a dual HIL test rig and operational profiles of three different WEC technologies. For designs with energy storage lifetime shorter than the calendar life, sensitivity analyses indicate that the rig's annual utilisation rate and the level of accelerated testing have a significant effect on the storage energy requirements.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"1944-1955"},"PeriodicalIF":8.6,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Transient Frequency-Voltage Support Strategy for VSC-MTDC Integrated Offshore Wind Farms Based on Perturbation Observer and Funnel Control 基于扰动观测器和漏斗控制的VSC-MTDC集成海上风电场暂态频率-电压支持策略

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-13 DOI: 10.1109/TSTE.2025.3541326

Wen Gao;Kaishun Xiahou;Yang Liu;Zhigang Li;Q. H. Wu;Dongxu Chang;Yihua Zhu

{"title":"Transient Frequency-Voltage Support Strategy for VSC-MTDC Integrated Offshore Wind Farms Based on Perturbation Observer and Funnel Control","authors":"Wen Gao;Kaishun Xiahou;Yang Liu;Zhigang Li;Q. H. Wu;Dongxu Chang;Yihua Zhu","doi":"10.1109/TSTE.2025.3541326","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3541326","url":null,"abstract":"To address the transient frequency and voltage stability challenges posed by low-inertia offshore wind farms (OWFs) connected through voltage source converter (VSC) based multi-terminal high voltage direct current (VSC-MTDC) system, a nonlinear perturbation observer and funnel control-based transient frequency and voltage support (PFTFVS) control strategy is proposed for VSC-MTDC integrated OWFs system. This approach utilizes improved estimation ability of the observer and adaptive feature of the funnel controller to enhance transient support capability and disturbance rejection performance of the system. The strategy comprises three parts: 1) an adaptive transient frequency support and rotor speed control method for wind turbines is devised to enhance the frequency support capability of OWFs; 2) considering the energy storage capability of DC capacitor in VSC-MTDC system, a transient frequency support controller is designed for VSC station to swiftly manage transient frequency variations; and 3) utilizing the rapid power regulation ability of VSC-MTDC, a transient voltage support controller is developed for VSC station to enhance voltage stability and boost the power transmission capacity. Finally, dynamic simulations of VSC-MTDC integrated OWFs system are built to verify the validity and robustness of the proposed strategy.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"1931-1943"},"PeriodicalIF":8.6,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 Hydrogen Production Dispatch of Networked Hydrogen-Based Microgrids via a Distributed Method 基于分布式方法的网络化氢基微电网制氢优化调度

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-13 DOI: 10.1109/TSTE.2025.3541097

Wangli He;Jiawei Yu;Chenxi Cao;Honggang Wang;Feng Qian

{"title":"Optimal Hydrogen Production Dispatch of Networked Hydrogen-Based Microgrids via a Distributed Method","authors":"Wangli He;Jiawei Yu;Chenxi Cao;Honggang Wang;Feng Qian","doi":"10.1109/TSTE.2025.3541097","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3541097","url":null,"abstract":"Hydrogen has drawn significant attention due to its long-term storage capability and wide industrial applications. How to efficiently utilize renewable energy to maximize hydrogen production of a group of spatially distributed electrolyzers is a fundamental problem urgently needed to be solved. This paper is the first to attempt to address the problem by proposing a hydrogen production dispatch (HPD) model for hydrogen-based microgrids with proton exchange membrane electrolyzers. Considering the limited communication and privacy requirement of distributed energy systems, a distributed hydrogen production dispatch framework is constructed. The original nonconvex optimization problem is transformed into a convex form. Furthermore, it is proven that the marginal hydrogen production benefit of each electrolyzer should be equal for the optimal hydrogen production dispatch via Lagrangian duality. By setting the marginal hydrogen production benefit as a consensus variable, a novel distributed consensus-based dispatch algorithm is developed, in which an event-triggered communication scheme is introduced to alleviate the communication burden. It is demonstrated that the proposed algorithm achieves linear convergence. Results of the case study indicate that the proposed strategy yields the optimal hydrogen production benefit, which is increased by 9.43% compared to on-site hydrogen production and demonstrates excellent solving efficiency especially for large-scale systems.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"1919-1930"},"PeriodicalIF":8.6,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 Carryover Storage Valuation Framework for Medium-Term Cascaded Hydropower Planning: A Portland General Electric System Study 中期梯级水电规划的结转蓄能评估框架：波特兰通用电力系统研究

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-13 DOI: 10.1109/TSTE.2025.3540923

Xianbang Chen;Yikui Liu;Zhiming Zhong;Neng Fan;Zhechong Zhao;Lei Wu

{"title":"A Carryover Storage Valuation Framework for Medium-Term Cascaded Hydropower Planning: A Portland General Electric System Study","authors":"Xianbang Chen;Yikui Liu;Zhiming Zhong;Neng Fan;Zhechong Zhao;Lei Wu","doi":"10.1109/TSTE.2025.3540923","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3540923","url":null,"abstract":"Medium-term planning of cascaded hydropower (CHP) determines appropriate carryover storage levels in reservoirs to optimize the usage of available water resources. This optimization seeks to maximize the hydropower generated in the current period (i.e., immediate benefit) plus the potential hydropower generation in the future period (i.e., future value). Thus, in the medium-term planning, properly quantifying the future value deposited in carryover storage is essential to achieve a balanced trade-off between immediate benefit and future value. To this end, this paper presents a framework to quantify the future value of carryover storage, which consists of three major steps: <italic>i)</i> constructing a deterministic model to calculate the maximum possible hydropower generation that a given level of carryover storage can deliver in the future period; <italic>ii)</i> extracting the implicit locational marginal water value (LMWV) of carryover storage for each reservoir by applying a partition-then-extract algorithm to the constructed model; and <italic>iii)</i> developing a set of analytical rules based on the extracted LMWV to effectively calculate the future value. These rules can be seamlessly integrated into medium-term CHP planning models as tractable mixed-integer linear constraints to quantify the future value properly, and can be easily visualized to offer valuable insights for CHP operators. Finally, numerical results on Portland General Electric's CHP demonstrate the effectiveness of the presented framework in aiding medium-term CHP planning to identify suitable carryover storage strategies.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"1903-1918"},"PeriodicalIF":8.6,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Spatiotemporal Graph Contrastive Learning for Wind Power Forecasting 风电预测的时空图对比学习

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-11 DOI: 10.1109/TSTE.2025.3540541

Guiyan Liu;Yajuan Zhang;Ping Zhang;Junhua Gu

{"title":"Spatiotemporal Graph Contrastive Learning for Wind Power Forecasting","authors":"Guiyan Liu;Yajuan Zhang;Ping Zhang;Junhua Gu","doi":"10.1109/TSTE.2025.3540541","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3540541","url":null,"abstract":"Accurate and robust wind power forecasting plays a crucial role in ensuring the safety and stability of the power system. Hybrid spatiotemporal forecasting models based on graph convolutional networks have received widespread attention due to their advantages in spatial feature extraction. However, these methods are susceptible to the quality of the generated graph due to data noise and missing issues, resulting in suboptimal performance. In this paper, we propose a hybrid deep learning model based on spatiotemporal graph contrastive learning to address the above issues. Specifically, the model's encoder combines an adaptive graph convolutional network with LSTM to capture fine-grained spatiotemporal dependencies. To enhance the robustness of the encoder against data noise, we apply feature-level and topology-level data augmentation techniques to the model's input and design two contrastive learning auxiliary tasks from the temporal and spatial dimensions, respectively. Furthermore, to capture more comprehensive spatial correlations, we construct an adaptive graph by fusing the static graph with a learnable parameter matrix. Extensive experimental results on two real-world datasets demonstrate that our proposed model significantly outperforms other state-of-the-art methods.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"1889-1902"},"PeriodicalIF":8.6,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144329507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 Coordinated Control Strategy for Enhanced Performance of Energy Storage System in Secondary Frequency Regulation 提高储能系统二次调频性能的分层协调控制策略

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-10 DOI: 10.1109/TSTE.2025.3540599

Jiajie Xiao;Peiqiang Li;Zhiyu Mao;Chunming Tu

{"title":"Hierarchical Coordinated Control Strategy for Enhanced Performance of Energy Storage System in Secondary Frequency Regulation","authors":"Jiajie Xiao;Peiqiang Li;Zhiyu Mao;Chunming Tu","doi":"10.1109/TSTE.2025.3540599","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3540599","url":null,"abstract":"This paper presents a hierarchical coordinated con-trol strategy designed to enhance the overall performance of the energy storage system (ESS) in secondary frequency regulation (SFR). The strategy includes three layers: the system layer, the ESS operation layer, and the coordination control layer. In the system layer, a detailed frequency response model of the multi-area interconnected system is developed. The intrinsic mech-anisms of timing, depth, and the effect of ESS and conventional generating unit (CGU) in SFR are revealed through the sen-sitivity analysis of the power allocation factor. Furthermore, a sensitivity-based adaptive power allocation strategy for ESS and CGU is proposed, which improves the SFR effect while reducing the ESS power and maintaining the state of charge (SOC). In the ESS operation layer, the ESS is divided into two components for integration, employing a monotonic charge-discharge strategy to reduce lifetime degradation caused by frequent charging and discharging, thereby enhancing operational efficiency. In the coordination control layer, considering the power prediction and the ESS operating state, a SOC optimization strategy based on the double-input fuzzy control (DIFC) is proposed. It further dynamically corrects the power allocation factor based on fuzzy rules, optimizing the SOC level to ensure the bidirectional SFR capability of ESS under all conditions. The case studies validate the overall SFR performance of the proposed strategy with different scenarios.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"1874-1888"},"PeriodicalIF":8.6,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Hybrid Modeling and Switching Control of Electric Vehicle Aggregation for Frequency Regulation 基于频率调节的电动汽车聚合混合建模与开关控制

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-10 DOI: 10.1109/TSTE.2025.3540253

Lei Xu;Chunxia Dou;Dong Yue;Yudi Zhang;Bo Zhang;Houjun Li;Xiande Bu

{"title":"Hybrid Modeling and Switching Control of Electric Vehicle Aggregation for Frequency Regulation","authors":"Lei Xu;Chunxia Dou;Dong Yue;Yudi Zhang;Bo Zhang;Houjun Li;Xiande Bu","doi":"10.1109/TSTE.2025.3540253","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3540253","url":null,"abstract":"The aggregation and control of massive electric vehicles (EVs) are crucial for grid frequency regulation (FR). However, challenges such as disordered charging, high computational and communication burdens need to be addressed. To this end, a hierarchical hybrid modeling and switching control method for EV aggregation (EVA) is proposed. For modeling, a hybrid state set for EVs comprising three discrete states and one dynamic state is established at the local level. The dynamic state's flexibility allows EVs to charge orderly while considering user demands. At the aggregation level, a Markov-based EVA state space model is designed, integrating the user's willingness-to-pay (WTP) index and hybrid state. It estimates the EVA's FR capacity (FRC) with a lower communication burden and reduces computational burden by simplifying control dimensions. For control, a model predictive control (MPC)-based state switching method is designed at the aggregation level, considering user's FR willingness and power cancellation issue. Furthermore, a predictive compensation mechanism is designed to address model parameter errors resulting from asynchronous control cycles. At the local level, a probabilistic response method is proposed for responding to dispatched control signals, which reduces battery degradation through the state of charge (SOC) based response probability generation. Simulation results validate the method's effectiveness.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"1860-1873"},"PeriodicalIF":8.6,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Coordinated Control of the Integrated SOFC-GT Generation System for Microgrid Applications 微电网应用SOFC-GT集成发电系统的协调控制

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-07 DOI: 10.1109/TSTE.2025.3539894

Hanbin Dang;Changyue Li;Yuhua Du;Zhipeng Li;Fei Gao;Yigeng Huangfu

引用次数: 0