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    题名 作者 年代 出处 被引量
1关于短期及超短期风电功率预测的评述显示文摘讨论风电功率预测及其误差对电力系统的影响,从信息流观点解读风电功率预测过程,归纳影响风电功率预测精度的因素,并对风电功率预测的研究现状加以归类与梳理。在此基础上,讨论对风电功率预测结果评价指标的要求,提出误差评估指标应该反映整个时间窗口内的预报质量,并展望风电功率预测可能的突破。薛禹胜 郁琛 赵俊华 Kang LI Xueqin LIU Qiuwei WU Guangya YANG 2015电力系统自动化2015,39,6:211
2Power hardware in the loop validation of fault ride through of VSC HVDC connected offshore wind power plants显示文摘This paper presents the power hardware in the loop(PHIL)validation of a feed forward DC voltage control scheme for the fault ride through(FRT)of voltage source converter(VSC)high voltage DC(HVDC)connected offshore wind power plants(WPPs).In the proposed FRT scheme,the WPP collector network AC voltage is actively controlled by considering both the DC voltage error and the AC current from the WPP AC collector system which ensures fast and robust FRT of the VSC HVDC connected offshore WPPs.The PHIL tests were carried out in order to verify the efficacy of the proposed feed forward DC voltage control scheme for enhancing the FRT capability of the VSC HVDC connected WPPs.The PHIL test results have demonstrated the proper control coordination between the offshore WPP and the WPP side VSC and the efficient FRT of the VSC HVDC connected WPPs.Ranjan SHARMA Qiuwei WU Seung Tae CHA Kim H.JENSEN Tonny W.RASMUSSEN JacobØSTEGAARD 2014Journal of Modern Power Systems and Clean Energy2014,2,1:26
3Fuzzy logic based coordinated control of battery energy storage system and dispatchable distributed generation for microgrid显示文摘Microgrid is a good option to integrate renewableenergy sources (RES) into power systems. Inorder to deal with the intermittent characteristics of therenewable energy based distributed generation (DG) units,a fuzzy-logic based coordinated control strategy of a batteryenergy storage system (BESS) and dispatchable DGunits is proposed for the microgrid management system(MMS). In the proposed coordinated control strategy, theBESS is used to minimize active power exchange at thepoint of common coupling of the microgrid for grid-connectedoperation, and is used for frequency control for islandoperation. The efficiency of the proposed controlstrategy was tested by case studies using DIgSILENT/PowerFactroy.Haoran ZHAO Qiuwei WU Chengshan WANG Ling CHENG Claus Nygaard RASMUSSEN 2015Journal of Modern Power Systems and Clean Energy2015,3,3:18
4Multi-agents modelling of EV purchase willingness based on questionnaires显示文摘Traditional experimental economics methods often consume enormous resources of qualified human participants,and the inconsistence of a participant’s decisions among repeated trials prevents investigation from sensitivity analyses.The problem can be solved if computer agents are capable of generating similar behaviors as the given participants in experiments.An experimental economics based analysis method is presented to extract deep information from questionnaire data and emulate any number of participants.Taking the customers’willingness to purchase electric vehicles(EVs)as an example,multi-layer correlation information is extracted from a limited number of questionnaires.Multiagents mimicking the inquired potential customers are modelled through matching the probabilistic distributions of their willingness embedded in the questionnaires.The authenticity of both the model and the algorithmis validated by comparing the agent-based Monte Carlo simulation results with the questionnaire-based deduction results.With the aid of agent models,the effects of minority agents with specific preferences on the results are also discussed.Yusheng XUE Juai WU Dongliang XIE Kang LI Yu ZHANG Fushuan WEN Bin CAI Qiuwei WU Guangya YANG 2015Journal of Modern Power Systems and Clean Energy2015,3,2:14
5Interdependence between transportation system and power distribution system: a comprehensive review on models and applications显示文摘The rapidly increasing penetration of electric vehicles(EVs) in modern metropolises has been witnessed during the past decade, inspired by financial subsidies as well as public awareness of climate change and environment pro-tection. Integrating charging facilities, especially highpower chargers in fast charging stations, into power distribution systems remarkably alters the traditional load flow pattern, and thus imposes great challenges on the operation of distribution network in which controllable resources are rare. On the other hand, provided with appropriate incentives, the energy storage capability of electric vehicle offers a unique opportunity to facilitate the integration of distributed wind and solar power generation into power distribution system. The above trends call for thorough investigation and research on the interdependence between transportation system and power distribution system. This paper conducts a comprehensive survey on this line of research. The basic models of transportation system and power distribution system are introduced,especially the user equilibrium model, which describes the vehicular flow on each road segment and is not familiar to the readers in power system community. The modelling of interdependence across the two systems is highlighted.Taking into account such interdependence, applications ranging from long-term planning to short-term operation are reviewed with emphasis on comparing the description of traffic-power interdependence. Finally, an outlook of prospective directions and key technologies in future research is summarized.Wei WEI Danman WU Qiuwei WU Miadreza SHAFIE-KHAH Joao PSCATALAO 2019Journal of Modern Power Systems and Clean Energy2019,7,3:12
6基于智能电网构建的欧洲可再生能源电力系统现状和前景展望(英文)显示文摘可再生能源在欧盟未来的能源框架中扮演着重要角色。到2020年,在欧盟总的能源消耗量中,预期20%将来自可再生能源,并且能效将提高20%。智能电网将是未来电力系统接纳大规模可再生能源发电并网的基石。文中介绍了欧洲的可再生能源开发现状和规划以及能源政策,并讨论了欧盟在智能电网相关技术方面的研发进展。丹麦是欧盟国家中可再生能源使用和相关关键技术研发的领跑者,文中重点以其为例进行介绍和阐述。Yi DING Jacob OSTERGAARD Poul Ejnar SORENSEN Peter MEIBOM Qiuwei WU 2011电力系统自动化2011,35,22:11
7Transition towards higher penetration of renewables: an overview of interlinked technical, environmental and socio-economic challenges显示文摘Investment for renewables has been growing rapidly since the beginning of the new century, and the momentum is expected to sustain in order to mitigate the impact of anthropogenic climate change.Transition towards higher renewable penetration in the power industry will not only confront technical challenges, but also face socio-economic obstacles.The connected between environment and energy systems are also tightened under elevated penetration of renewables.This paper will provide an overview of some important challenges related to technical, environmental and socio-economic aspects at elevated renewable penetration.An integrated analytical framework for interlinked technical, environmental and socio-economic systems will be presented at the end.Xinyu CHEN Michael B.MCELROY Qiuwei WU Yinbiao SHU Yusheng XUE 2019Journal of Modern Power Systems and Clean Energy2019,7,1:11
8SARS-CoV-2 Omicron variant is highly sensitive to molnupiravir,nirmatrelvir,and the combination显示文摘Dear Editor,Since the first outbreak in late 2019,the RNA genome of SARS-CoV-2 has been undergoing constant evolution.This is largely attributed to the viral polymerase that is intrinsically error prone and the selection pressures exerted by the host immune system.Several variants of concern harboring multiple mutations in the spike protein have emerged in the past year.The currently fast-spreading Omicron variant contains many more mutations compared with the previous variants,and most of these mutations are located around the receptor binding domain of the spike protein.Pengfei Li Yining Wang Marla Lavrijsen Mart M.Lamers Annemarie C.de Vries Robbert J.Rottier Marco J.Bruno Maikel P.Peppelenbosch Bart L.Haagmans Qiuwei Pan 2022Cell Research2022,32,3:11
9Low-carbon generation expansion planning considering uncertainty of renewable energy at multi-time scales显示文摘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.Yuanze Mi Chunyang Liu Jinye Yang Hengxu Zhang Qiuwei Wu 2021Global Energy Interconnection2021,4,3:9
10基于实验经济学仿真构建碳排放交易的多代理模型显示文摘碳排放交易的市场效率及减排效果受各类角色及大量参与者决策的影响,参与者特别是市场设计者及监管者必须掌握其行为及机理。实验经济学通过真实实验人参与的实验,反映参与者的有限理性。但其实验规模受限于合格实验者的数量,而多场景实验之间的可比性还受限于实验者的专注度。为此采用了一种混合交互仿真法,先通过实验提炼出真实实验人群在碳排放交易中的不确定行为的关键变量及规律,据此建立具有相同分布特性的多代理随机模型。此后就只需动用少量真实实验人来反映特殊的决策者,并与上述模型生成的大量多代理交互仿真。在保持实验经济学特点的同时,克服了其对实验规模的限制,并保证了重复实验的统计一致性。蒋超 薛禹胜 黄杰 Qiuwei WU Guangya YANG 2014电力系统自动化2014,38,17:8
11Advanced Functional Fiber and Smart Textile显示文摘The research and applications of fiber materials are directly related to the daily life of social populace and the development of relevant revolutionary manufacturing industry.However,the conventional fibers and fiber products can no longer meet the requirements of automation and intellectualization in modern society,as well as people’s consumption needs in pursuit of smart,avant-grade,fashion and distinctiveness.The advanced fiber-shaped electronics with most desired designability and integration features have been explored and developed intensively during the last few years.The advanced fiber-based products such as wearable electronics and smart clothing can be employed as the second skin to enhance information exchange between humans and the external environment.In this review,the significant progress on flexible fiber-shaped multifunctional devices,including fiber-based energy harvesting devices,energy storage devices,chromatic devices,and actuators are discussed.Particularly,the fabrication procedures and application characteristics of multifunctional fiber devices such as fiber-shaped solar cells,lithium-ion batteries,actuators and electrochromic fibers are introduced in detail.Finally,we provide our perspectives on the challenges and future development of functional fiber-shaped devices.Qiuwei Shi Jianqi Sun Chengyi Hou Yaogang Li Qinghong Zhang Hongzhi Wang 2019Advanced Fiber Materials2019,1,1:7
12Multi-agent modeling and analysis of EV users' travel willingness based on an integrated causal/statistical/behavioral model显示文摘An electric vehicle(EV) centred ecosystem has not yet been formed, the existing limited statistic data are far from enough for the analysis of EV users' travel and charge behaviors, which however tends to be affected by many certain and uncertain factors. An experimental economics(EE)-based simulation method can be used to analyze thebehaviors of key participants in a system. However, it is restricted by the system size, experimental site and the number of qualified human participants. Therefore, this method is hard to be adopted for the behavioral analysis of a large number of human participants. In this paper, a new method combining a questionnaire statistics and the EEbased simulation is proposed. The causal relationship is considered in the design of the questionnaires and data extraction, then a multi-agent modeling integration method is introduced in the EE-based simulation, which enables the integration of causal/statistical/behavioral models into the multi-agent framework to reflect the EV users' travel willingness statistically. The generated multi-agents are used to replace human participants in the EE-based simulation in order to evaluate EV users' travel demands in different scenarios, and compare the differences of simulated or measured travel behaviors between potential EV users and internal combustion engine(ICE) vehicle users.Juai WU Yusheng XUE Dongliang XIE Kang LI Fushuan WEN Junhua ZHAO Guangya YANG Qiuwei WU 2018Journal of Modern Power Systems and Clean Energy2018,6,6:7
13柔性直流输电并网风电厂的低电压穿越能力改进(英文)显示文摘To achieve active control of the AC voltage magnitude of wind power plant(WPP)collector network and improve the fault ride-through(FRT)capability,an FRT scheme based on feed forward DC voltage control is presented for voltage source converter-high voltage direct current(VSC-HVDC)connected offshore WPPs.During steady state operation,an open loop AC voltage control is implemented at the WPP-side VSC of the HVDC system so that any possible control interactions between WPP-side VSC and VSC of wind turbine are minimized.Whereas during any grid fault,a dynamic AC voltage reference is made according to both the DC voltage error and AC active current from the WPP collector system,thus ensuring fast and robust FRT of the VSC-HVDC-connected offshore WPPs.Under the unbalanced fault condition in the host power system,the resulting oscillatory DC voltage is directly used in the VSC AC voltage controller at the WPP side so that the WPP collector system voltage also reflects the unbalance in the main grid.Time domain simulations are performed to verify the efficacy of the FRT scheme based on the proposed feed forward DC voltage control.Simulation results show satisfactory FRT responses of the VSC-HVDC-connected offshore WPP under balanced and unbalanced faults in the host power system,as is shown under a serious fault in the WPP collector network.Ranjan SHARMA Qiuwei WU Seung Tae CHA Kim Hφj JENSEN Tony Wederberg RASMUSSEN Jacob ΦSTERGAARD 2015电力系统自动化2015,39,3:4
14Deep Reinforcement Learning Based Approach for Optimal Power Flow of Distribution Networks Embedded with Renewable Energy and Storage Devices显示文摘This study proposes a deep reinforcement learning(DRL)based approach to analyze the optimal power flow(OPF)of distribution networks(DNs)embedded with renewable energy and storage devices.First,the OPF of the DN is formulated as a stochastic nonlinear programming problem.Then,the multi-period nonlinear programming decision problem is formulated as a Markov decision process(MDP),which is composed of multiple single-time-step sub-problems.Subsequently,the state-of-the-art DRL algorithm,i.e.,proximal policy optimization(PPO),is used to solve the MDP sequentially considering the impact on the future.Neural networks are used to extract operation knowledge from historical data offline and provide online decisions according to the real-time state of the DN.The proposed approach fully exploits the historical data and reduces the influence of the prediction error on the optimization results.The proposed real-time control strategy can provide more flexible decisions and achieve better performance than the pre-determined ones.Comparative results demonstrate the effectiveness of the proposed approach.Di Cao Weihao Hu Xiao Xu Qiuwei Wu Qi Huang Zhe Chen Frede Blaabjerg 2021Journal of Modern Power Systems and Clean Energy2021,9,5:4
15A novel strategy for cancer gene therapy:RNAi显示文摘RNA 干扰(RNA ) 由两倍搁浅的 RNA 在 posttranscriptionmediated 的水平导致基因 silencing。为小 double-strandedinterference RNA (siRNA ) 的交货有众多的方法到目标房间,包括非病毒、病毒的向量。在这些方法之中,病毒的向量是更有效的车辆。由在目标房间的病毒的向量的短发卡 RNA (shRNA ) 的表示能被 Dicer 酶切成为约 21 bp siRNA,它能指导血缘的 mRNA 的降级。RNAi 技术能用许多策略对癌症被指导,包括抑制,支持 apoptosis,调整房间周期在上表示了 oncogenes, antiangiogenesis 并且提高化疗和放射疗法的功效。因为 RNAi 技术为癌症基因治疗成为了优秀策略,这评论构画出如此的一种新奇技术的最近的开发和应用程序。PAN Qiuwei CAI Rong LIU Xinyuan QIANCheng 2006Chinese Science Bulletin2006,51,10:4
16Economical evaluation of large-scale photovoltaic systems using Universal Generating Function techniques显示文摘Solar energy plays an important role in the global energy framework for future.Comparing with conventional generation systems using fossil fuels,the cost structure of photovoltaic(PV)systems is different:the capital cost is higher while the operation cost is negligible.Reliabilities of the PV system can also influence the cost for producing electricity.Investors,planners and regulators require deep insight into the return and cost of a PV project.A reliability based economical assessment of largescale PV systems has been conducted utilizing Universal Generating Function(UGF)techniques.The reliability models of solar panel arrays,PV inverters and energy production units(EPUs)are represented as the corresponding UGFs.The expected energy production models for different PV system configurations have also been developed.The expected unit cost of electricity has been calculated to provide informative metrics for making optimal decisions.The proposed method has been applied to determine the PV system configuration which provides electricity for a water purification process.Yi DING Weixiang SHEN Gregory LEVITIN Peng WANG Lalit GOEL Qiuwei WU 2013Journal of Modern Power Systems and Clean Energy2013,1,2:3
17Self-reducing bifunctional Ni-W/SBA-15 catalyst for cellulose hydrogenolysis to low carbon polyols显示文摘A series of self-reducing bifunctional Ni-W/SBA-15 catalysts were synthesized using biomass-based carbon source as the reducing agent without conventional further reduction step. The self-reducing catalysts were performed on the hydrogenolysis of cellulose to low carbon polyols. The effects of calcination temperature and metallic loading contents for cellulose hydrogenolysis reaction were investigated detailedly.The optimal calcination temperature was found to be 673 K by TG analysis. The active metal nanoparticles with a better dispersion were observed using SEM and element mapping technology. The yield of low carbon polyols using the catalyst with the receipt of 10%Ni-15%W/SBA-15-673 K can reach as high as68.14%, of which the ethylene glycol(EG) accounts for 61.04%.Zhuqian Xiao Qiuwei Ge Chuang Xing Chengjun Jiang Sheng Fang Jianbing Ji Jianwei Mao 2016Journal of Energy Chemistry2016,25,3:3
18Two-step Optimal Allocation of Stationary and Mobile Energy Storage Systems in Resilient Distribution Networks显示文摘Energy storage systems (ESSs) are acknowledged to be a promising option to cope with issues in high penetration of renewable energy and guarantee a highly reliable power supply. In this paper, a two-step optimal allocation model is proposed to obtain the optimal allocation (location and size) of stationary ESSs (SESSs) and mobile ESSs (MESSs) in the resilient distribution networks (DNs). In the first step, a mixed-integer linear programming (MILP) problem is formulated to obtain the preselected location of ESSs with consideration of different scenarios under normal operation conditions. In the second step, a two-stage robust optimization model is established to get the optimal allocation results of ESSs under failure operation conditions which are solved by column-and-constraint generation (C&CG) algorithm. A hybrid ESS allocation strategy based on the subjective and objective weight analysis is proposed to give the final allocation scheme of SESSs and MESSs. Finally, the proposed two-step optimal allocation model is demonstrated on a modified IEEE 33-bus system to show its effectiveness and merits.Xinyi Jiang Jian Chen Qiuwei Wu Wen Zhang Yicheng Zhang Jie Liu 2021Journal of Modern Power Systems and Clean Energy2021,9,4:2
19STRESS ANALYSIS AND GEOMETRICAL CONFIGURATION SELECTION FOR MULTILAYER PIEZOELECTRIC DISPLACEMENT ACTUATOR显示文摘Multilayer piezoelectric ceramic displacement actuators are susceptible to cracking in the region near the edge of the internal electrode, which may cause system damage or failure. In this paper, the stress distribution of a multilayer piezoelectric composite is investigated in a working environment and the optimized geometrical con?guration of the piezoelectric layer is obtained. The stress distribution in the structure and the stress concentration near the edge of the internal electrode, induced by non-uniform electric ?eld distribution, are analyzed by moir′e interferometry experiment and ?nite element numerical simulation. Based on the above analysis, two optimized geometrical models are presented for the purpose of geometrical con?guration selection, with which stress concentration can be reduced signi?cantly while the feasibility of the machining process and the basic structural functions occurring in the conventional model are retained. The numerical results indicate that the maximum stress in the optimized models is e?ectively diminished compared to the conventional model. For instance, the peak value of the principal stress in the optimized model II is 93.1% smaller than that in the conventional model. It is proved that stress concentration can be e?ectively relaxed in the latter of the two optimized models and thus the probability of fracture damage can be decreased.QiuWei KangYilan SunQingchi QinQinghua LinYu 2004Acta Mechanica Solida Sinica2004,17,4:2
20Adaptive Ultra-short-term Wind Power Prediction Based on Risk Assessment显示文摘A risk assessment based adaptive ultra-short-term wind power prediction(USTWPP)method is proposed in this paper.In this method,features are first extracted from the historical data,and then each wind power time series(WPTS)is split into several subsets defined by their stationary patterns.A WPTS that does not match any of the stationary patterns is then included in a subset of non-stationary patterns.Each WPTS subset is then related to a USTWPP model that is specially selected and optimized offline based on the proposed risk assessment index.For online applications,the pattern of the last short WPTS is first recognized,and the relevant prediction model is then applied for USTWPP.Experimental results confirm the efficacy of the proposed method.Yusheng Xue Chen Yu Kang Li Fushuan Wen Yi Ding Qiuwei Wu Guangya Yang 2016CSEE Journal of Power and Energy Systems2016,2,3:2
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