期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到7,373篇文章
< 1 2 … 250 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
Multi-Time Scale Optimization Scheduling of Data Center Considering Workload Shift and Refrigeration Regulation 认领 引用
1
作者 Luyao Liu Xiao Liao +1 位作者 Yiqian Li Shaofeng Zhang 《Energy Engineering》 EI 2026年第2期451-486,共36页
Data center industries have been facing huge energy challenges due to escalating power consumption and associated carbon emissions.In the context of carbon neutrality,the integration of data centers with renewable ene... Data center industries have been facing huge energy challenges due to escalating power consumption and associated carbon emissions.In the context of carbon neutrality,the integration of data centers with renewable energy has become a prevailing trend.To advance the renewable energy integration in data centers,it is imperative to thoroughly explore the data centers’operational flexibility.Computing workloads and refrigeration systems are recognized as two promising flexible resources for power regulationwithin data centermicro-grids.This paper identifies and categorizes delay-tolerant computing workloads into three types(long-running non-interruptible,long-running interruptible,and short-running)and develops mathematical time-shifting models for each.Additionally,this paper examines the thermal dynamics of the computer room and derives a time-varying temperature model coupled to refrigeration power.Building on these models,this paper proposes a two-stage,multi-time scale optimization scheduling framework that jointly coordinates computing workloads time-shift in day-ahead scheduling and refrigeration power control in intra-day dispatch to mitigate renewable variability.A case study demonstrates that the framework effectively enhances the renewable-energy utilization,improves the operational economy of the data center microgrid,and mitigates the impact of renewable power uncertainty.The results highlight the potential of coordinated computing workloads and thermal system flexibility to support greener,more cost-effective data center operation. 展开更多
关键词 Data center renewable energy load shift multi-time scale optimization
暂未订购 下载PDF
Low-carbon generation expansion planning considering uncertainty of renewable energy at multi-time scales 认领 引用 被引量：17
2
作者 Yuanze Mi Chunyang Liu +2 位作者 Jinye Yang Hengxu Zhang Qiuwei Wu 《Global Energy Interconnection》 EI CSCD 2021年第3期261-272,共12页
With the development of carbon electricity,achieving a low-carbon economy has become a prevailing and inevitable trend.Improving low-carbon expansion generation planning is critical for carbon emission mitigation and ... With the development of carbon electricity,achieving a low-carbon economy has become a prevailing and inevitable trend.Improving low-carbon expansion generation planning is critical for carbon emission mitigation and a lowcarbon economy.In this paper,a two-layer low-carbon expansion generation planning approach considering the uncertainty of renewable energy at multiple time scales is proposed.First,renewable energy sequences considering the uncertainty in multiple time scales are generated based on the Copula function and the probability distribution of renewable energy.Second,a two-layer generation planning model considering carbon trading and carbon capture technology is established.Specifically,the upper layer model optimizes the investment decision considering the uncertainty at a monthly scale,and the lower layer one optimizes the scheduling considering the peak shaving at an hourly scale and the flexibility at a 15-minute scale.Finally,the results of different influence factors on low-carbon generation expansion planning are compared in a provincial power grid,which demonstrate the effectiveness of the proposed model. 展开更多
关键词 Renewable energy Multi-time scales Uncertainty Low-carbon Generation planning
暂未订购 下载PDF
Differences and identification on multi-time hydrocarbon generation of carboniferous-permian coaly source rocks in the Huanghua Depression,Bohai Bay Basin 认领 引用 被引量：1
3
作者 Jin-Jun Xu Xian-Gang Cheng +5 位作者 Shu-Nan Peng Jun-Cai Jiang Qi-Long Wu Da Lou Fu-Qi Cheng La-Mei Lin 《Petroleum Science》 SCIE EI CAS CSCD 2024年第2期765-776,共12页
Coal is a solid combustible mineral,and coal-bearing strata have important hydrocarbon generation potential and contribute to more than 12%of the global hydrocarbon resources.However,the deposition and hydrocarbon evo... Coal is a solid combustible mineral,and coal-bearing strata have important hydrocarbon generation potential and contribute to more than 12%of the global hydrocarbon resources.However,the deposition and hydrocarbon evolution process of ancient coal-bearing strata is characterized by multiple geological times,leading to obvious distinctions in their hydrocarbon generation potential,geological processes,and production,which affect the evaluation and exploration of hydrocarbon resources derived from coaly source rocks worldwide.This study aimed to identify the differences on oil-generated parent macerals and the production of oil generated from different coaly source rocks and through different oil generation processes.Integrating with the analysis of previous tectonic burial history and hydrocarbon generation history,high-temperature and high-pressure thermal simulation experiments,organic geochemistry,and organic petrology were performed on the Carboniferous-Permian(C-P)coaly source rocks in the Huanghua Depression,Bohai Bay Basin.The oil-generated parent macerals of coal's secondary oil generation process(SOGP)were mainly hydrogen-rich collotelinite,collodetrinite,sporinite,and cutinite,while the oil-generated parent macerals of tertiary oil generation process(TOGP)were the remaining small amount of hydrogen-rich collotelinite,sporinite,and cutinite,as well as dispersed soluble organic matter and unexhausted residual hydrocarbons.Compared with coal,the oil-generated parent macerals of coaly shale SOGP were mostly sporinite and cutinite.And part of hydrogen-poor vitrinite,lacking hydrocarbon-rich macerals,and macerals of the TOGP,in addition to some remaining cutinite and a small amount of crude oil and bitumen from SOGP contributed to the oil yield.The results indicated that the changes in oil yield had a good junction between SOGP and TOGP,both coal and coaly shale had higher SOGP aborted oil yield than TOGP starting yield,and coaly shale TOGP peak oil yield was lower than SOGP peak oil yield.There were significant differences in saturated hydrocarbon and aromatic parameters in coal and coaly shale.Coal SOGP was characterized by a lower Ts/Tm and C31-homohopane22S/(22S+22R)and a higher Pr C17compared to coal TOGP,while the aromatic parameter methyl dibenzothiophene ratio(MDR)exhibited coaly shale TOGP was higher than coaly shale SOGP than coaly TOGP than coaly SOGP,and coal trimethylnaphthalene ratio(TNR)was lower than coaly shale TNR.Thus,we established oil generation processes and discriminative plates.In this way,we distinguished the differences between oil generation parent maceral,oil generation time,and oil production of coaly source rocks,and therefore,we provided important support for the evaluation,prediction,and exploration of oil resources from global ancient coaly source rocks. 展开更多
关键词 Thermal simulation Multi-time oil generation processes Coaly source rock Carboniferous-permian Huanghua Depression
暂未订购 下载PDF
Market-based control strategy for long-span structures considering the multi-time delay issue 认领 引用
4
作者 Li Hongnan Song Jianzhu Li Gang 《Earthquake Engineering and Engineering Vibration》 SCIE EI CSCD 2017年第1期153-164,共12页
To solve the different time delays that exist in the control device installed on spatial structures, in this study, discrete analysis using a 2N precise algorithm was selected to solve the multi-time-delay issue for l... To solve the different time delays that exist in the control device installed on spatial structures, in this study, discrete analysis using a 2N precise algorithm was selected to solve the multi-time-delay issue for long-span structures based on the market-based control （MBC） method. The concept of interval mixed energy was introduced from computational structural mechanics and optimal control research areas, and it translates the design of the MBC multi-time-delay controller into a solution for the segment matrix. This approach transforms the serial algorithm in time to parallel computing in space, greatly improving the solving efficiency and numerical stability. The designed controller is able to consider the issue of time delay with a linear controlling force combination and is especially effective for large time-delay conditions. A numerical example of a long-span structure was selected to demonstrate the effectiveness of the presented controller, and the time delay was found to have a significant impact on the results. 展开更多
关键词 market based control multi-time delay interval mixed energy 2N precise algorithm discrete system
暂未订购 下载PDF
Bio-Inspired Optimal Dispatching of Wind Power Consumption Considering Multi-Time Scale Demand Response and High-Energy Load Participation 认领 引用 被引量：4
5
作者 Peng Zhao Yongxin Zhang +2 位作者 Qiaozhi Hua Haipeng Li Zheng Wen 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第2期957-979,共23页
Bio-inspired computer modelling brings solutions fromthe living phenomena or biological systems to engineering domains.To overcome the obstruction problem of large-scale wind power consumption in Northwest China,this ... Bio-inspired computer modelling brings solutions fromthe living phenomena or biological systems to engineering domains.To overcome the obstruction problem of large-scale wind power consumption in Northwest China,this paper constructs a bio-inspired computer model.It is an optimal wind power consumption dispatching model of multi-time scale demand response that takes into account the involved high-energy load.First,the principle of wind power obstruction with the involvement of a high-energy load is examined in this work.In this step,highenergy load model with different regulation characteristics is established.Then,considering the multi-time scale characteristics of high-energy load and other demand-side resources response speed,a multi-time scale model of coordination optimization is built.An improved bio-inspired model incorporating particle swarm optimization is applied to minimize system operation and wind curtailment costs,as well as to find the most optimal energy configurationwithin the system.Lastly,we take an example of regional power grid in Gansu Province for simulation analysis.Results demonstrate that the suggested scheduling strategy can significantly enhance the wind power consumption level and minimize the system’s operational cost. 展开更多
关键词 Biological system multi-time scale wind power consumption demand response bio-inspired computermodelling particle swarm optimization
暂未订购 下载PDF
Research on multi-time scale doubly-fed wind turbine test system based on FPGA+CPU heterogeneous calculation 认领 引用
6
作者 Qing Mu Xing Zhang +3 位作者 Xiaoxin Zhou Xiaowei Fan Yingmei Liu Dongbo Pan 《Global Energy Interconnection》 2019年第1期7-18,共12页
As the proportion of renewable energy increases, the interaction between renewable energy devices and the grid continues to enhance. Therefore, the renewable energy dynamic test in a power system has become more and m... As the proportion of renewable energy increases, the interaction between renewable energy devices and the grid continues to enhance. Therefore, the renewable energy dynamic test in a power system has become more and more important. Traditional dynamic simulation systems and digital-analog hybrid simulation systems are difficult to compromise on the economy, flexibility and accuracy. A multi-time scale test system of doubly fed induction generator based on FPGA+ CPU heterogeneous calculation is proposed in this paper. The proposed test system is based on the ADPSS simulation platform. The power circuit part of the test system is setup up using the EMT(electromagnetic transient simulation) simulation, and the control part uses the actual physical devices. In order to realize the close-loop testing for the physical devices, the power circuit must be simulated in real-time. This paper proposes a multi-time scale simulation algorithm, in which the decoupling component divides the power circuit into a large time scale system and a small time scale system in order to reduce computing effort. This paper also proposes the FPGA+CPU heterogeneous computing architecture for implementing this multitime scale simulation. In FPGA, there is a complete small time-scale EMT engine, which support the flexibly circuit modeling with any topology. Finally, the test system is connected to an DFIG controller based on Labview to verify the feasibility of the test system. 展开更多
关键词 Renewable energy gen erati on Doubly fed in duction generator ADPSS simulati on system Wind turbine test system Multi-time scale FPGA+CPU
暂未订购 下载PDF
Multi-Time Scale Optimal Scheduling of a Photovoltaic Energy Storage Building System Based on Model Predictive Control 认领 引用
7
作者 Ximin Cao Xinglong Chen +2 位作者 He Huang Yanchi Zhang Qifan Huang 《Energy Engineering》 EI 2024年第4期1067-1089,共23页
Building emission reduction is an important way to achieve China’s carbon peaking and carbon neutrality goals.Aiming at the problem of low carbon economic operation of a photovoltaic energy storage building system,a ... Building emission reduction is an important way to achieve China’s carbon peaking and carbon neutrality goals.Aiming at the problem of low carbon economic operation of a photovoltaic energy storage building system,a multi-time scale optimal scheduling strategy based on model predictive control(MPC)is proposed under the consideration of load optimization.First,load optimization is achieved by controlling the charging time of electric vehicles as well as adjusting the air conditioning operation temperature,and the photovoltaic energy storage building system model is constructed to propose a day-ahead scheduling strategy with the lowest daily operation cost.Second,considering inter-day to intra-day source-load prediction error,an intraday rolling optimal scheduling strategy based on MPC is proposed that dynamically corrects the day-ahead dispatch results to stabilize system power fluctuations and promote photovoltaic consumption.Finally,taking an office building on a summer work day as an example,the effectiveness of the proposed scheduling strategy is verified.The results of the example show that the strategy reduces the total operating cost of the photovoltaic energy storage building system by 17.11%,improves the carbon emission reduction by 7.99%,and the photovoltaic consumption rate reaches 98.57%,improving the system’s low-carbon and economic performance. 展开更多
关键词 Load optimization model predictive control multi-time scale optimal scheduling photovoltaic consumption photovoltaic energy storage building
暂未订购 下载PDF
Multi-time scale analysis of precipitation variation in Guyuan, China:1957-2005 认领 引用 被引量：1
8
作者 Liu Delin Li Bicheng 《Ecological Economy》 2008年第4期512-518,共7页
Morlet wavelet transformation is used in this paper to analyze the multi time scale characteristics of pre cipitation data series from 1957 to 2005 in Guyuan region.The results showed that(1) the annual precipitation ... Morlet wavelet transformation is used in this paper to analyze the multi time scale characteristics of pre cipitation data series from 1957 to 2005 in Guyuan region.The results showed that(1) the annual precipitation evo lution process had obvious multi time scale variation characteristics of 15 25 years,7 12 years and 3 6 years,and different time scales had different oscillation energy densities;(2) the periods at smaller time scales changed more frequently,which often nested in a biggish quasi periodic oscillations,so the concrete time domain should be ana lyzed if necessary;(3) the precipitation had three main periods(22 year,9 year and 4 year) and the 22 year period was especially outstanding,and the analysis of this main period reveals that the precipitation would be in a relative high water period until about 2012. 展开更多
关键词 Precipitation variation Multi-time scale Wavelet analysis Guyuan region Loess Plateau
暂未订购 下载PDF
An Effective Numerical Calculation Method for Multi-Time-Scale Mathematical Models in Systems Biology 认领 引用
9
作者 Yohei Motomura Hiroyuki Hamada Masahiro Okamoto 《Applied Mathematics》 2016年第17期2241-2268,共28页
The improvements of high-throughput experimental devices such as microarray and mass spectrometry have allowed an effective acquisition of biological comprehensive data which include genome, transcriptome, proteome, a... The improvements of high-throughput experimental devices such as microarray and mass spectrometry have allowed an effective acquisition of biological comprehensive data which include genome, transcriptome, proteome, and metabolome (multi-layered omics data). In Systems Biology, we try to elucidate various dynamical characteristics of biological functions with applying the omics data to detailed mathematical model based on the central dogma. However, such mathematical models possess multi-time-scale properties which are often accompanied by time-scale differences seen among biological layers. The differences cause time stiff problem, and have a grave influence on numerical calculation stability. In the present conventional method, the time stiff problem remained because the calculation of all layers was implemented by adaptive time step sizes of the smallest time-scale layer to ensure stability and maintain calculation accuracy. In this paper, we designed and developed an effective numerical calculation method to improve the time stiff problem. This method consisted of ahead, backward, and cumulative algorithms. Both ahead and cumulative algorithms enhanced calculation efficiency of numerical calculations via adjustments of step sizes of each layer, and reduced the number of numerical calculations required for multi-time-scale models with the time stiff problem. Backward algorithm ensured calculation accuracy in the multi-time-scale models. In case studies which were focused on three layers system with 60 times difference in time-scale order in between layers, a proposed method had almost the same calculation accuracy compared with the conventional method in spite of a reduction of the total amount of the number of numerical calculations. Accordingly, the proposed method is useful in a numerical analysis of multi-time-scale models with time stiff problem. 展开更多
关键词 Finite Difference Method Stiff Equation Multi-Time-Scale Systems Biology Mathematical Analysis
暂未订购 下载PDF
An FPGA-accelerated multi-level AI-integrated simulation framework for multi-time domain power systems with high penetration of power converters 认领 引用
10
作者 Chen Liu Peng Su +3 位作者 Hao Bai Xizheng Guo Alber Filbà Martínez Jose Luis Dominguez Garcia 《Energy and AI》 EI CSCD 2025年第3期802-822,共21页
The increasing integration of renewable energy sources and power electronic devices has significantly increased the complexity of modern power systems,making modeling and simulation challenging due to multi-time scale... The increasing integration of renewable energy sources and power electronic devices has significantly increased the complexity of modern power systems,making modeling and simulation challenging due to multi-time scale dynamics and multi-physics coupling.To address these challenges,this paper proposes a multi-level simulation framework based on unified energy flow theory.The framework structures systems hierarchically using energy transmission functions and unified energy information flow-based surrogate models with defined ports,ensuring compatibility with artificial intelligence algorithms.By integrating AI techniques,such as back propagation neural networks,the framework predicts variables with high computational complexity,improving accuracy and simulation efficiency.A multi-level simulation architecture leveraging Field Programmable Gate Arrays(FPGAs)enables faster-than-real-time system-level simulation and real-time component-level modeling with time resolution as small as 5 nanoseconds.A DC microgrid case study with photovoltaic generation,battery storage,and power electronic converters demonstrates the proposed method,achieving up to a 500×speedup over traditional Simulink models while maintaining high accuracy.The results confirm the framework’s ability to capture multiphysics interactions,optimize energy distribution,and ensure system stability under dynamic conditions,providing an efficient and scalable solution for advanced DC microgrid simulations. 展开更多
关键词 Renewable energy Power electronics Multi-time scale Multi-physics fields Simulation framework Real-time simulation
Multi-time scale dynamics in power electronics-dominated power systems 认领 引用 被引量：1
11
作者 Xiaoming YUAN Jiabing HU Shijie CHENG 《Frontiers of Mechanical Engineering》 SCIE CSCD 2017年第3期303-311,共9页
Electric power infrastructure has recently undergone a comprehensive transformation from electromagnetics to semiconductors. Such a development is attributed to the rapid growth of power electronic converter applicati... Electric power infrastructure has recently undergone a comprehensive transformation from electromagnetics to semiconductors. Such a development is attributed to the rapid growth of power electronic converter applications in the load side to realize energy conservation and on the supply side for renewable generations and power transmissions using high voltage direct current transmission. This transformation has altered the fundamental mechanism of power system dynamics, which demands the establishment of a new theory for power system control and protection. This paper presents thoughts on a theoretical framework for the coming semiconducting power systems. 展开更多
关键词 power electronics power systems multi-time scale dynamics mass-spring-damping model self-stabilizing and en-stabilizing property multi-time scale power system stabilizer
暂未订购 下载PDF
A Multi-time Scale Tie-line Energy and Reserve Allocation Model Considering Wind Power Uncertainties for Multi-area Systems 认领 引用 被引量：4
12
作者 Jian Xu Siyang Liao +7 位作者 Haiyan Jiang Danning Zhang Yuanzhang Sun Deping Ke Xiong Li Jun Yang Xiaotao Peng Liangzhong Yao 《CSEE Journal of Power and Energy Systems》 SCIE EI CSCD 2021年第4期677-687,共11页
Continued expansion of the power grid and the increasing proportion of wind power centralized integration leads to requirements in sharing both energy and reserves among multiple areas under a hierarchical control str... Continued expansion of the power grid and the increasing proportion of wind power centralized integration leads to requirements in sharing both energy and reserves among multiple areas under a hierarchical control structure,which successively requires a correction between schedule plans within multi-time scale.In order to address this problem,this paper develops an information integration method integrating complicated relationships among fuel cost,total thermal power output,reserve capacity,owned reserves and expectations of load shedding and wind curtailment,into three types of time-related relationship curves・Furthermore,a multi-time scale tieline energy and reserves allocation model is proposed,which contains two levels in the control structure,two time scales in dispatch sequence and multiple areas integrated within wind farms as scheduling objects・The efficiency of the proposed method is tested in a 9-bus test system and IEEE 118-bus system.The results show that a cross-regional control center is able to approach the optimal scheduling results of the whole system with the integrated uploaded relationship curves.The proposed model not only relieves energy and reserve shortages in partial areas but also allocates them to more urgent need areas in a high effectivity manner in both day-ahead and intraday time scales. 展开更多
关键词 Energy and reserve allocation hierarchical control structure multi-area system multi-time scale economic dispatch wind power
暂未订购 下载PDF
An Explicit Multi-Time Stepping Algorithm for Multi-Time Scale Coupling Problems in SPH 认领 引用
13
作者 Xiaojing Tang Dong Wu +2 位作者 Zhentong Wang Oskar Haidn Xiangyu Hu 《Communications in Computational Physics》 SCIE 2024年第10期1219-1261,共43页
Simulating physical problems with multi-time scale coupling presents a considerable challenge due to the concurrent solution of processes with different time scales.This complexity arises from the necessity to evolve ... Simulating physical problems with multi-time scale coupling presents a considerable challenge due to the concurrent solution of processes with different time scales.This complexity arises from the necessity to evolve large time scale processes over long physical time,while simultaneously small time step sizes are required to unveil the underlying physics in shorter time scale processes.To address this inherent conflict in the multi-time scale coupling problems,we propose an explicit multi-time step algorithm within the framework of smoothed particle hydrodynamics(SPH),coupled with a solid dynamic relaxation scheme,to quickly achieve equilibrium state in the comparatively fast solid response process.To assess the accuracy and efficiency of the proposed algorithm,a manuscript torsional example,two distinct scenarios,i.e.,a nonlinear hardening bar stretching and a fluid diffusion coupled with Nafion membrane flexure,are simulated.The obtained results exhibit good agreement with analytical solution,outcomes from other numerical methods and experimental data.With this explicitly multi-time step algorithm,the simulation time is reduced firstly by independently addressing different processes being solved under distinct time step sizes,which stands in contrast to the implicit counterpart,and secondly decreasing the simulation time required to achieve a steady state for the solid by incorporating the dynamic relaxation scheme. 展开更多
关键词 SPH multi-time scale coupling multi-time step algorithm dynamic relaxation multiphysics problem
Microgrid Scheduling with the Participation of Electric Vehicles under Extreme Weather Conditions 认领 引用
14
作者 Zujun Ding Zhi Liu +7 位作者 Peng Huang Yuhan Qian Chengyi Li Zizhuo Yu Hui Huang Baolian Liu Wan Chen Jie Ji 《Energy Engineering》 EI 2026年第6期363-392,共30页
Under extreme weather conditions(such as hurricanes and heatwaves causing sudden drops in renewable energy output and surges in load),microgrid operations face severe challenges due to the uncertainty of renewable ene... Under extreme weather conditions(such as hurricanes and heatwaves causing sudden drops in renewable energy output and surges in load),microgrid operations face severe challenges due to the uncertainty of renewable energy and load fluctuations.Although existing research has focused on microgrid optimal scheduling or electric vehicle integration,there has not yet been a systematic approach to multi-timescale scheduling that combines electric vehicle fleets under extreme weather scenarios,and particularly,explicit modeling of weather events and their impact on component failure rates and transmission lines is lacking.This paper proposes,for the first time,a multi-timescale optimal scheduling strategy integrated with an electric vehicle fleet,filling this gap.By constructing a microgrid model containing diesel generators,micro gas turbines,renewable energy sources,energy storage,and demand response loads,and defining four typical extreme weather scenarios(high solar&high wind,high solar&low wind,low solar&high wind,low solar&low wind)to simulate the impact of extreme events,a day-ahead and intraday coordinated framework aiming to minimize total operating costs is established.In this framework,the day-ahead stage formulates a preliminary plan based on wind and solar forecasts,while the intraday stage employs the mobile energy storage characteristics of the electric vehicle fleet for rolling adjustments to cope with renewable fluctuations and sudden load changes.Simulations based on actual data from Huai’an City in 2024 show that this strategy can significantly reduce microgrid operating costs(by 5.6%–7.2%),increase renewable energy utilization(94%–96%),reduce carbon emissions(17.8%–22.6%),and enhance the system’s economic performance and resilience under extreme weather conditions. 展开更多
关键词 Microgrid electric vehicle cluster multi-time scale scheduling extreme weather renewable energy absorption optimal operation demand response
暂未订购 下载PDF
State Space Guided Spatio-Temporal Network for Efficient Long-Term Traffic Prediction 认领 引用
15
作者 Guangyu Huo Chang Su +2 位作者 Xiaoyu Zhang Xiaohui Cui Lizhong Zhang 《Computers, Materials & Continua》 SCIE EI 2026年第2期1242-1264,共23页
Long-term traffic flow prediction is a crucial component of intelligent transportation systems within intelligent networks,requiring predictive models that balance accuracy with low-latency and lightweight computation... Long-term traffic flow prediction is a crucial component of intelligent transportation systems within intelligent networks,requiring predictive models that balance accuracy with low-latency and lightweight computation to optimize trafficmanagement and enhance urban mobility and sustainability.However,traditional predictivemodels struggle to capture long-term temporal dependencies and are computationally intensive,limiting their practicality in real-time.Moreover,many approaches overlook the periodic characteristics inherent in traffic data,further impacting performance.To address these challenges,we introduce ST-MambaGCN,a State-Space-Based Spatio-Temporal Graph Convolution Network.Unlike conventionalmodels,ST-MambaGCN replaces the temporal attention layer withMamba,a state-space model that efficiently captures long-term dependencies with near-linear computational complexity.The model combines Chebyshev polynomial-based graph convolutional networks(GCN)to explore spatial correlations.Additionally,we incorporate a multi-temporal feature capture mechanism,where the final integrated features are generated through the Hadamard product based on learnable parameters.This mechanism explicitly models shortterm,daily,and weekly traffic patterns to enhance the network’s awareness of traffic periodicity.Extensive experiments on the PeMS04 and PeMS08 datasets demonstrate that ST-MambaGCN significantly outperforms existing benchmarks,offering substantial improvements in both prediction accuracy and computational efficiency for long-term traffic flow prediction. 展开更多
关键词 State space model long-term traffic flow prediction graph convolutional network multi-time scale analysis emerging applications at intelligent networks
暂未订购 下载PDF
计及多时间尺度碳排放因子的虚拟电厂-配电网协同调度 认领 引用 被引量：5
16
作者 王泽森 王宣元 +3 位作者 孔帅皓 孙舶皓 季震 孙巍 《中国电力》 CSCD 北大核心 2026年第3期14-26,共13页
随着双碳目标的推进,电力系统的低碳化运行成为研究热点,虚拟电厂与配电网的协同调度面临多时间尺度碳排放量化不足的挑战。为此,提出一种计及多时间尺度碳排放因子的虚拟电厂-配电网协同调度模型。首先,将新能源弃风弃光现象考虑到碳... 随着双碳目标的推进,电力系统的低碳化运行成为研究热点,虚拟电厂与配电网的协同调度面临多时间尺度碳排放量化不足的挑战。为此,提出一种计及多时间尺度碳排放因子的虚拟电厂-配电网协同调度模型。首先,将新能源弃风弃光现象考虑到碳排放因子计算中,并通过多时间尺度修正机制提升碳排放因子的时空精度。其次,构建粗调-细调的多时间尺度协同调度框架:日前调度以经济性和安全性为目标,日内调度基于实时数据修正碳排放因子并优化运行策略。最后,采用目标级联分析法求解模型。算例分析表明,改进的碳排放因子能有效区分零碳时段的风光消纳差异,相比传统碳排放因子计算方法使配电网碳排放量减少4.7t,碳排放成本下降17.5%。多时间尺度协同机制显著提升了新能源消纳能力与经济性,为电力系统低碳调度提供了有力支持。 展开更多
关键词 多时间尺度碳排放因子 虚拟电厂 协同调度 新能源消纳 目标级联分析
暂未订购 下载PDF
面向高并发分布式光伏感知业务推理的轻量化边缘协同计算与动态资源优化方法 认领 引用 被引量：1
17
作者 孙毅 姜俊廷 +2 位作者 刘欣雅 王文婷 李笋 《电网技术》 EI CSCD 北大核心 2026年第4期1540-1549,I0046,I0047,共10页
随着分布式光伏高比例接入配电网,电力通信网络难以满足大规模光伏终端基于海量电力数据的实时感知与智能控制计算需求。当前研究虽然多采用任务卸载与计算等方式提升电力通信接入网的传输效能,但是边缘智能设备仍面临模型体积庞大、算... 随着分布式光伏高比例接入配电网,电力通信网络难以满足大规模光伏终端基于海量电力数据的实时感知与智能控制计算需求。当前研究虽然多采用任务卸载与计算等方式提升电力通信接入网的传输效能,但是边缘智能设备仍面临模型体积庞大、算力分配僵化的问题,导致偏远地区电力边缘计算终端的长期能耗与本地计算能力不足。针对上述问题,文章研究了面向高并发分布式光伏感知业务推理的轻量化边缘协同计算与动态资源优化方法,通过协同缓存多压缩率模型与动态调节设备实时计算资源,提升人工智能模型的终端侧部署效能;其次,针对服务缓存与任务卸载时间尺度耦合问题,进一步提出基于李雅普诺夫的动态卸载与缓存共享机制,通过构建边缘终端间的缓存资源共享网络,显著提高资源受限环境下计算任务推理所需能耗。仿真结果表明,相比于仅考虑设备计算协同和仅考虑缓存更新策略,该文所提策略有效地减少了偏远地区的电力智能终端在边缘计算系统中产生的长期能耗,提高了边端侧人工智能模型部署的效能。 展开更多
关键词 分布式光伏 模型压缩 服务缓存 边缘计算 李雅普诺夫优化 多时间尺度优化
暂未订购 下载PDF
基于改进MPC的配电网多时间尺度协调调度方法 认领 引用 被引量：2
18
作者 张光儒 陈杰 +2 位作者 马振祺 张家午 任浩栋 《电力电子技术》 2026年第2期106-112,共7页
随着可再生能源渗透率的增加,配电网潮流分布发生变化,可再生能源输出功率的快速波动进一步加大了配电网线路功率波动,对配电网运行产生巨大影响。为此,本文提出了考虑风力发电相关性分析和改进模型预测控制(MPC)的多时间尺度协调调度... 随着可再生能源渗透率的增加,配电网潮流分布发生变化,可再生能源输出功率的快速波动进一步加大了配电网线路功率波动,对配电网运行产生巨大影响。为此,本文提出了考虑风力发电相关性分析和改进模型预测控制(MPC)的多时间尺度协调调度方法。首先,基于copula相关分析理论,建立多个风电场预测误差与不同时间的相关模型,以更准确地捕捉风力发电出力的随机性特征。其次,根据不同时间尺度下预测数据的精度选择不同的优化方法,并在此基础上建立了一种新的多时间尺度调度方法,以在运行成本最低的前提下保证配电网在输电网之间的功率波动最小。然后,提出了一种改进的MPC方法,进一步限制了输配电网络之间交换功率的波动。最后进行了仿真验证,结果表明本文所提方法可以在降低运行成本和网损的同时,有效降低配电网线路功率波动。 展开更多
关键词 输配电网络 模型预测控制 多时间尺度协调调度
暂未订购 下载PDF
基于多域退化特征生成的RV减速器寿命预测 认领 引用 被引量：1
19
作者 文娟 宋洋 +2 位作者 林苏奔 武忧 潘柏松 《计算机集成制造系统》 EI CSCD 北大核心 2026年第5期1720-1733,共14页
针对旋转矢量(RV)减速器全寿命周期数据稀缺导致寿命预测困难的问题,提出一种基于多信息域退化特征生成的寿命预测方法。首先从振动信号中提取40个多信息域初始特征,借助趋势性指数与聚类算法构建性能退化指标体系,筛选出与减速器性能... 针对旋转矢量(RV)减速器全寿命周期数据稀缺导致寿命预测困难的问题,提出一种基于多信息域退化特征生成的寿命预测方法。首先从振动信号中提取40个多信息域初始特征,借助趋势性指数与聚类算法构建性能退化指标体系,筛选出与减速器性能状态高度关联的典型特征;然后,利用基于时间序列生成对抗网络(TimeGAN)生成与真实退化特征数据分布相似的虚拟样本,有效扩充训练数据集;最后,设计融合卷积神经网络(CNN)与长短期记忆网络(LSTM)的卷积长短期记忆网络(C-LSTM)模型,建立退化特征与剩余寿命的映射关系。通过设计对照实验验证提出方法的有效性:对比TimeGAN与深度卷积生成对抗网络(DCGAN)的虚拟数据生成质量,并评估C-LSTM模型与传统模型的预测性能。结果表明:TimeGAN生成的虚拟数据在时间序列变化趋势与概率分布特征上较DCGAN更逼近真实数据;C-LSTM的寿命预测结果均方根误差、平均绝对误差和均方误差较传统方案均大幅下降,且利用扩增数据的结果较仅使用真实数据的均方根误差、平均绝对误差和均方误差分别降低了81.20%、79.30%和96.47%,充分验证了多信息域特征生成框架与混合神经网络模型的优越性。 展开更多
关键词 旋转矢量减速器 时间序列生成对抗网络 寿命预测 多维时间序列 深度学习
暂未订购 下载PDF
考虑分级备用的源荷储协同优化调度 认领 引用
20
作者 孟祥飞 袁振华 +3 位作者 石冰珂 张元欣 邱轩宇 刘念 《现代电力》 CSCD 北大核心 2026年第1期104-115,I0004,共12页
随着呈现“双高”特征的新型电力系统的不断发展与可调火电资源的日益紧张,新能源预测误差带来的备用配置问题逐渐成为人们关注的焦点,同时源荷储系统可调资源的丰富化为备用留取提供了更多的途径。针对源荷储系统中不同时间尺度备用协... 随着呈现“双高”特征的新型电力系统的不断发展与可调火电资源的日益紧张,新能源预测误差带来的备用配置问题逐渐成为人们关注的焦点,同时源荷储系统可调资源的丰富化为备用留取提供了更多的途径。针对源荷储系统中不同时间尺度备用协同优化这一难题,使用互补集合经验模态分解方法对电网净负荷预测误差进行多时间尺度分解,为合理平衡风险与备用配置的矛盾,使用条件风险价值对系统风险进行刻画,提出计及弃风光切负荷风险的分级备用协同优化方法。在此基础上,考虑源荷储多类型系统响应特性,以备用配置成本、发电效益与系统潜在风险为目标,建立考虑分级备用的源荷储协同互补优化调度模型。算例结果表明,所提分级备用优化方法能合理权衡系统风险与备用配置,有效提高系统的可靠性,实现保供应、促消纳。 展开更多
关键词 备用配置 多时间尺度分解 源荷储系统 协同互补 弃风 切负荷
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 2 … 250 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈