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| 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 |
| 2 | Multi-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 | 2015 | Journal of Modern Power Systems and Clean Energy2015，3，2： | 14 |
| 3 | Low-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 | 2021 | Global Energy Interconnection2021，4，3： | 9 |
| 4 | 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 |
| 5 | Multi-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 | 2018 | Journal of Modern Power Systems and Clean Energy2018，6，6： | 7 |
| 6 | Adaptive 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 | 2016 | CSEE Journal of Power and Energy Systems2016，2，3： | 2 |
| 7 | Stress- dependent Electrical Resistance Model for Fatigue Lifetime Calculation of 48MnV Steel显示文摘 | Binxiang Sun Qiuwei Yang Lijun Yang Qi Liu | 2012 | IJACT2012，，4： | 1 |
| 8 | Damage detection in beam-like structures using static shear energy redistribution显示文摘In this study,a static shear energy algorithm is presented for the damage assessment of beam-like structures.According to the energy release principle,the strain energy of a damaged element suddenly changes when structural damage occurs.Therefore,the change in the static shear energy is employed to determine the damage locations in beam-like structures.The static shear energy is derived from the spectral factorization of the elementary stiffness matrix and structural deflection variation.The advantage of using shear energy as opposed to total energy is that only a few deflection data points of the beam structure are required during the process of damage identification.Another advantage of the proposed approach is that damage detection can be performed without establishing a structural finiteelement model in advance.The proposed technique is first validated using a numerical example with single,multiple,and adjacent damage scenarios.A channel steel beam and rectangular concrete beam are employed as experimental cases to further verify the proposed approach.The results of the simulation and experiment examples indicate that the proposed algorithm provides a simple and effective method for defect localization in beam-like structures. | Xi PENG Qiuwei YANG | 2022 | Frontiers of Structural and Civil Engineering2022，16，12： | 1 |
| 9 | Authorization Management Framework Based on Joint Trust-Risk Evaluation显示文摘Authorization management is important precondition and foundation for coordinating and resource sharing in open networks. Re- cently, authorization based on trust is widely used whereby access rights to shared resource are granted on the basis of their trust relation in distributed environment. Nevertheless, dynamic change of the status of credential and chain of trust induces to uncertainty of trust relation. Considering uncer- tainty of authorization and analyzing deficiency of authorization model only based on trust, we proposes joint trust-risk evaluation and build the model based on fuzzy set theory, and make use of the membership grade of fuzzy set to express joint trust-risk relation. Finally, derivation principle and constraint principle of joint trust-risk relationships are presented. The authorization management model is defined based on joint trust-risk evaluation, proof of compliance and separation of duty are analyzed. The proposed model depicts not only trust relationship between principals, but also security problem of authorization. | YANG Qiuwei WU Sunyong HONG Fan LIAO Junguo | 2007 | Wuhan University Journal of Natural Sciences2007，12，1： | 1 |
| 10 | A mixed sensitivity method for struc- tural damage detection显示文摘 | Yang Qiuwei | 2009 | Communications in Nu-merical Methods in Engineering2009，25，4： | 1 |
| 11 | Damage identification by the eigenparameter decomposition of structural flexibility change显示文摘 | Yang Qiuwei Liu Jike | 2009 | International Journal for Numerical Meth- ods in Engineering2009，78，4： | 1 |
| 12 | Privacy Preservation in Role-based Access Control Model显示文摘 | Zuo Chen Qiuwei Yang Xin Wan Yuanyan Tu Fei Yu Chen Xu | 2011 | Journal of Networks2011，，： | 1 |
| 13 | Distributionally Robust Transmission Expansion Planning Considering Uncertainty of Contingency Probability显示文摘The outage of power system equipment is one of the most important factors that affect the reliability and economy of power system.It is crucial to consider the influence of contingencies elaborately in planning problem.In this paper,a distributionally robust transmission expansion planning model is proposed in which the uncertainty of contingency probability is considered.The uncertainty of contingency probability is described by uncertainty interval based on the outage rate of single equipment.An epigraph reformulation and Benders decomposition are applied to solve the proposed model.Finally,the feasibility and effectiveness of the proposed model are illustrated on the IEEE RTS system and the IEEE 118-bus system. | Weilun Wang Mingqiang Wang Xueshan Han Ming Yang Qiuwei Wu Ran Li | 2022 | Journal of Modern Power Systems and Clean Energy2022，10，4： | 1 |
| 14 | Fault Identification for Shear-Type Structures Using Low-Frequency Vibration Modes显示文摘Shear-type structures are common structural forms in industrial and civil buildings,such as concrete and steel frame structures.Fault diagnosis of shear-type structures is an important topic to ensure the normal use of structures.The main drawback of existing damage assessment methods is that they require accurate structural finite element models for damage assessment.However,for many shear-type structures,it is difficult to obtain accurate FEM.In order to avoid finite elementmodeling,amodel-freemethod for diagnosing shear structure defects is developed in this paper.This method only needs to measure a few low-order vibration modes of the structure.The proposed defect diagnosis method is divided into two stages.In the first stage,the location of defects in the structure is determined based on the difference between the virtual displacements derived from the dynamic flexibility matrices before and after damage.In the second stage,damage severity is evaluated based on an improved frequency sensitivity equation.Themain innovations of this method lie in two aspects.The first innovation is the development of a virtual displacement difference method for determining the location of damage in the shear structure.The second is to improve the existing frequency sensitivity equation to calculate the damage degree without constructing the finite elementmodel.Thismethod has been verified on a numerical example of a 22-story shear frame structure and an experimental example of a three-story steel shear structure.Based on numerical analysis and experimental data validation,it is shown that this method only needs to use the low-order modes of structural vibration to diagnose the defect location and damage degree,and does not require finite element modeling.The proposed method should be a very simple and practical defect diagnosis technique in engineering practice. | Cuihong Li Qiuwei Yang Xi Peng | 2024 | Computer Modeling in Engineering & Sciences2024，138，3： | 0 |
| 15 | Bi-level Energy Trading Model Incorporating Large-scale Biogas Plant and Demand Response Aggregator显示文摘Increasing intermittent renewable energy sources(RESs)intensifies the imbalance between demand and generation,entailing the diversification of the deployment of electrical energy storage systems(ESSs).A large-scale biogas plant(LBP)installed with heating devices and biogas energy storage(BES)usually exhibits a storage-like characteristic of accommodating an increasing penetration level of RES in rural areas,which is addressed in this paper.By utilizing the temperature-sensitive characteristic of anaerobic digestion that enables the LBP to exhibit a storage-like characteristic,this paper proposes a bi-level energy trading model incorporating LBP and demand response aggregator(DRA)simultaneously.In this model,social welfare is maximized at the upper level while the profit of DRA is maximized at the lower level.Compared with cases only with DRA,the results show that the proposed model with the LBP improves the on-site accommodation capacity of photovoltaic(PV)generation up to 6.3%,18.1%,and 18.9%at 30%,40%,and 50%PV penetration levels,respectively,with a better economic performance.This nonlinear bi-level problem is finally recast by a single-level mathematical program with equilibrium constraints(MPEC)using Karush-Kuhn-Tucker(KKT)conditions and solved by the Cplex solver.The effectiveness of the proposed model is validated using a 33-bus test system and a sensitivity analysis is provided for analyzing what parameter influences the accommodation capacity most. | Hanyu Yang Canbing Li Ruanming Huang Feng Wang Lili Hao Qiuwei Wu Long Zhou | 2023 | Journal of Modern Power Systems and Clean Energy2023，11，2： | 0 |
| 16 | Heat Pumps in Denmark:Current Situation in Providing Frequency Control Ancillary Services显示文摘-The Danish government set an ambitious goal to achieve a fully renewable-based energy system by 2050.In this context,the integrated electricity and heating system is undergoing rapid development in Denmark as a promising way to accommodate the ever-growing renewable energy sources(RESs).The electric heat pumps(HPs),coupled with the power and heat sectors,can propagate the flexibility on the heat consumer side to the power system operations,playing an important role of improving system flexibility and balancing the variability of the RES.In this paper,the current development situation of HPs in Denmark is analyzed,including both the large-scale HPs in the district heating system and individual HPs on the residential side.The possibility of using HPs to provide frequency control ancillary service(FCAS)is analyzed according to the market and technical requirements of the FCAS in the Danish transmission system and experimental results of representative demonstration projects of HPs.A comprehensive analysis of the advantages,barriers,future prospects,and challenges for using HPs to provide the FCAS are carried out from the perspectives of different entities. | Menglin Zhang Qiuwei Wu Theis Bo Harild Rasmussen Xiaodong Yang Jinyu Wen | 2022 | CSEE Journal of Power and Energy Systems2022，8，3： | 0 |
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