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Journal of Modern Power Systems and Clean Energy 2023年第1期11卷 107-119页

作者： Ziyang Yin Shouxiang Wang qianyu Zhao Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin 300072China

With the large-scale distributed generations(DGs)being connected to distribution network(DN), the traditional day-ahead reconfiguration methods based on physical models are challenged to maintain the robustness and avoid voltage offlimits. To address these problems, this paper develops a deep reinforcement learning method for the sequential reconfiguration with soft open points(SOPs) based on real-time data. A statebased decision model is first proposed by constructing a Marko decision process-based reconfiguration and SOP joint optimization model so that the decisions can be achieved in ***, a deep reinforcement learning joint framework including branching double deep Q network(BDDQN) and multi-policy soft actor-critic(MPSAC) is proposed, which has significantly improved the learning efficiency of the decision model in multidimensional mixed-integer action space. And the influence of DG and load uncertainty on control results has been minimized by using the real-time status of the DN to make control decisions. The numerical simulations on the IEEE 34-bus and 123-bus systems demonstrate that the proposed method can effectively reduce the operation cost and solve the overvoltage problem caused by high ratio of photovoltaic(PV) integration.

关键词： Data-driven distribution network reconfiguration deep reinforcement learning distributed generation

Optimized Dispatching Method for Flexibility Improvement of AC-MTDC Distribution Systems Considering Aggregated Electric Vehicles

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Journal of Modern Power Systems and Clean Energy 2023年第6期11卷 1857-1867页

作者： Xingyue Jiang Shouxiang Wang qianyu Zhao Xuan Wang Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin 300072China IEEE

With the increasing use of renewable resources and electric vehicles(EVs), the variability and uncertainty in their nature put forward a high requirement for flexibility in AC distribution system incorporating voltage source converter(VSC) based multi-terminal direct current(MTDC) grids. In order to improve the capability of distribution systems to cope with uncertainty, the flexibility enhancement of AC-MTDC distribution systems considering aggregated EVs is studied. Firstly, the charging and discharging model of one EV is proposed considering the users' demand difference and traveling needs. Based on this, a vehicle-to-grid(V2G) control strategy for aggregated EVs to participate in the flexibility promotion of distribution systems is provided. After that, an optimal flexible dispatching method is proposed to improve the flexibility of power systems through cooperation of VSCs, controllable distributed generations(CDGs), aggregated EVs, and energy storage systems(ESSs). Finally, a case study of an AC-MTDC distribution system is carried out. Simulation results show that the proposed dispatching method is capable of effectively enhancing the system flexibility, reducing renewable power curtailment, decreasing load abandonment, and cutting down system cost.

关键词： Multi-terminal direct current(MTDC) distribution system aggregated electric vehicle(EV) flexibility optimized dispatching

Bi-level Multi-objective Joint Planning of Distribution Networks Considering Uncertainties

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Journal of Modern Power Systems and Clean Energy 2022年第6期10卷 1599-1613页

作者： Shouxiang Wang Yichao Dong qianyu Zhao Xu Zhang Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin300072China State Grid Tianjin Electric Power Company Economic and Technological Research Institute Tianjin 300171China State Grid Tianjin Electric Power Company Tianjin300010China

With the increasing penetration of photovoltaics in distribution networks,the adaptability of distribution network under uncertainties needs to be considered in the planning of distribution *** this paper,the interval arithmetic and affine arithmetic are applied to deal with uncertainties,and an affine arithmetic based bi-level multi-objective joint planning model is built,which can obtain the planning schemes with low constraint-violation risk,high reliability and strong *** this basis,a bi-level multi-objective solution methodology using affine arithmetic based non-dominated sorting genetic algorithm II is proposed,and the planning schemes that simultaneously meet economy and adaptability goals under uncertainties can be *** further eliminate bad solutions and improve the solution qualities,an affine arithmetic based dominance relation weakening criterion and a deviation distance based modification method are proposed.A 24-bus test system and a 10 kV distribution system of China are used for case *** uncertainty levels are compared,and a sensitivity analysis of key parameters is conducted to explore their impacts on the final planning *** simulation results verify the advantages of the proposed affine arithmetic based planning method.

关键词： Affine arithmetic adaptability multi-objective joint planning Pareto optimal front uncertainty

Robust Voltage Control Considering Uncertainties of Renewable Energies and Loads via Improved Generative Adversarial Network

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Journal of Modern Power Systems and Clean Energy 2020年第6期8卷 1104-1114页

作者： qianyu Zhao Wenlong Liao Shouxiang Wang Jayakrishnan Radhakrishna Pillai the Key Laboratory of Smart Grid of Ministry of Education and Tianjin Key Laboratory of Power System Simulation and Control Tianjin UniversityTianjinChina the Department of Energy Technology Aalborg UniversityAalborgDenmark

The fluctuation of output power of renewable energies and loads brings challenges to the scheduling and operation of the distribution *** this paper,a robust voltage control model is proposed to cope with the uncertainties of renewable energies and loads based on an improved generative adversarial network(IGAN).Firstly,both real and predicted data are used to train the IGAN consisting of a discriminator and a *** noises sampled from the Gaussian distribution are fed to the generator to generate a large number of scenarios that are utilized for robust voltage control after scenario ***,a new improved wolf pack algorithm(IWPA)is presented to solve the formulated robust voltage control model,since the accuracy of the solutions obtained by traditional methods is *** simulation results show that the IGAN can accurately capture the probability distribution characteristics and dynamic nonlinear characteristics of renewable energies and loads,which makes the scenarios generated by IGAN more suitable for robust voltage control than those generated by traditional ***,IWPA has a better performance than traditional methods in terms of convergence speed,accuracy,and stability for robust voltage control.

关键词： Robust voltage control uncertainty generative adversarial network wolf pack algorithm

Leader-following consensus control for linear multi-agent systems with quantized communication 36

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Leader-following consensus control for linear multi-agent sy...

Synergistic injection of the thermosensitive hydrogel and Bi-based alloy bone cement for orthopaedic repair

第36届中国控制会议

作者： qianyu Shen Ronghao Wang School of Automation Nanjing University of Science and Technology College of Defense Engineering PLA University of Science and Technology

ISBN: (纸本)9781538629185

In this paper,we consider consensus problems for linear multi-agent systems with quantized communication among *** order to achieve consensus,distributed consensus protocols which only based on the quantized relative states of neighboring agents is *** sufficient conditions are presented to reach the consensus of linear multi-agent systems by using algebraic graph theory,Lyapunov stability analysis and Krasovskii ***,it is also pointed out that when the agents obtain time delayed information,the given system can also reach consensus under some ***,numerical simulations are presented to verify the effectiveness of the theoretical analysis.

关键词： Quantized consensus Linear multi-agent systems Krasovskii solution Time delay

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Science China(Technological Sciences) 2024年第7期67卷 2153-2163页

作者： LIU SiCong LI Lei JIANG ChanYuan WANG qianyu DENG ZhongShan Key Laboratory of Cryogenic Science and Technology Technical Institute of Physics and ChemistryChinese Academy of SciencesBeijing 100190China Department of Cleft Lip and Palate Plastic Surgery HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100144China School of Future Technology University of Chinese Academy of SciencesBeijing 100049China

Low-melting-point alloys have the advantages of good biocompatibility, plasticity, and near-bone mechanical strength, making them suitable as bone defect-filling materials for direct injection into defective bone sites. However, using low-melting-point alloys for orthopedic implants poses the challenge of causing thermal damage to the surrounding bone tissue during injection. In this study, a thermosensitive hydrogel is prepared and synergistically injected into the bone defect site with BiInSn. BiInSn solidifies and releases heat during injection, while the thermosensitive hydrogel absorbs heat and transforms into a gel state,encapsulating BiInSn. Therefore, the surrounding bone tissue is effectively protected from thermal damage. When BiInSn and the thermosensitive hydrogel were injected synergistically, in vitro thermal experiments revealed that the maximum temperature of the surrounding bone tissue reached 42℃. This temperature is below the 47℃ threshold, which causes permanent damage to bone tissues. In vivo experiments demonstrated that rats in the BiInSn-thermosensitive hydrogel group exhibited better recovery at the bone defect sites. These results suggest that the synergistic injection of Bi-based alloy and thermosensitive hydrogel is beneficial in reducing thermal damage to bone tissue, guiding bone tissue growth, and effectively facilitating the repair of bone defects.

关键词： bone defects thermosensitive hydrogel thermal damage to tissue bismuth-based alloy bone cement

Physics Insight of the Inertia of Power Systems and Methods to Provide Inertial Response

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CSEE Journal of Power and Energy Systems 2022年第2期8卷 559-568页

作者： Yongzhang Huang Yuxuan Wang Chenyang Li Haisen Zhao qianyu Wu the State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China

The growth of renewable energy reduces the moment of inertia for the synchronous AC grid,so the authors put forward two basic questions:1)What is the physics insight that a synchronous AC grid needs for mechanical inertia?2)How to provide inertial response for the power grid dominated with renewable energy?Based on Einstein’s special relativity and the Lorentz transformation,these papers illustrates that the nature of the inertia of the AC grid comes from the relativity of the electromagnetic field and motion,and from the strong coupling between *** to their nature,the inertial response of the synchronous generator is *** contrast,the converter for the grid-connection of renewable energies used various algorithms in order to provide virtual *** because algorithms do not rebuild the coupling between electromagnetic fields and motion,it is doubtful whether they can provide inertia and inertial ***,the authors propose that there is a need to build extra electromagnetic fields and motion coupling for grids with high penetration rates of renewable ***,a new grid-connection technology via Motor-Generator Pair(MGP)is *** electromagnetic-motion coupling of the MGP is analyzed,and the results of simulation and experimental studies are also reported.

关键词： Electromagnetic-motion coupling inertia response of power systems Lorentz transformation motorgenerator pair(MGP) power systems with high proportion of renewable energy

Highly stable aqueous zinc-ion batteries enabled by suppressing the dendrite and by-product formation in multifunctional Al^(3+) electrolyte additive

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Nano Research 2022年第9期15卷 8039-8047页

作者： Xianlin Zhou Kaixuan Ma qianyu Zhang Gongzheng Yang Chengxin Wang State key Laboratory of Optoelectronic Materials and Technologies School of Materials Science and EngineeringSun Yat-sen(Zhongshan)UniversityGuangzhou 510275China College of Materials Science and Engineering Sichuan UniversityChengdu 610064China

Rechargeable aqueous zinc-ion batteries(ZIBs)have gained extensive attention owing to the high safety,low cost,and high power/energy *** unfortunately the ZIBs universally suffer from the highly damaging series of side reactions,majorly including the insulating products formation,dendritic growth of zinc,and hydrogen *** date there are few reports on the effective strategy that can solve the problems at the same *** we propose a novel hybrid electrolyte with Al^(3+)as additive to construct an aqueous ZIB composed of metallic zinc anode and K_(0.51)V_(2)O_(5)(KVO)nanoplate *** highly reversible multistep K^(+)/Zn^(2+)-ions co-insertion/extraction in the lamellar structure with large interlayer spacing is clearly evidenced by systematical *** the presence of Al^(3+),the insulating basic zinc salts on the cathode surface have been reduced greatly,and the electrochemical potential window has been significantly expanded from 3 to 4.35 *** interestingly,the Al^(3+)acts as a dopant embedded into the lattice that strengthens the crystal *** from the suppressed zinc dendrite growth,the symmetrical Zn/Zn battery exhibited a satisfactory cycling life over 1,500 h at a high rate of 3 mA·cm^(-2)in the hybrid *** a result,the Zn/KVO batteries delivered a high specific capacity of 210 mAh·g^(-1)and retained high capacity retention of 91%after 1,600 h at a low current of 100 mA·g^(-1).

关键词： aqueous Zn-ion batteries hybrid electrolyte electrolyte additive vanadium-based cathode long cycle life

Astronomically modulated late Pliocene equatorial Pacific climate transition and Northern Hemisphere ice sheet expansion

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Chinese Science Bulletin 2010年第2期55卷 212-220页

作者： MA WenTao TIAN Jun LI qianyu State Key Laboratory of Marine Geology Tongji University Shanghai 200092 China

The equatorial Pacific underwent a significant climate transition during the late Pliocene, which is characterized by cooling of global sea surface temperatures (SSTs) and formation of a marked SST gradient between the eastern and western equatorial Pacific. Moreover, this transition was nearly synchronous with the late Pliocene Northern Hemisphere glaciation. Probing the relationship among solar insolation, low and high latitude processes is the key to unravel the mechanism of this climate transition. A series of statistical methods were used in this study to analyze the orbital components of the equatorial Pacific SST and global ice volume records for the past 5 Ma. We found that integrated solar insolation rather than the monthly mean insolation is the primary external forcing of the late Pliocene climate transition, and that on orbital time scale the SSTs of the eastern and western equatorial Pacific display consistent change rather than a "seesaw" pattern. Changes of Earth’s orbital configuration have been responsible for this climate transition whereas the feedback effects of atmospheric CO2 concentration have further cooled the global climate since the early Cenozoic.

关键词：赤道太平洋全球气候上新世北半球晚期数字调制冰盖赤道西太平洋

Identification of an immune classifier for predicting the prognosis and therapeutic response in triple-negative breast cancer

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BIOCELL 2023年第12期47卷 2681-2696页

作者： KUAILU LIN qianyu GU XIXI LAI Department of Breast Surgery The First Affiliated Hospital of Wenzhou Medical UniversityWenzhouChina Department of Visceral Thoracic and Vascular SurgeryCarl Gustav Carus University Hospital DresdenTechnische Universität DresdenDresdenGermany Department of Respiratory and Critical Medicine The First Affiliated Hospital of Wenzhou Medical UniversityWenzhouChina

Triple-negative breast cancer(TNBC)poses a significant challenge due to the lack of reliable prognostic gene signatures and an understanding of its immune ***:We analyzed clinical information and mRNA expression data from 162 TNBC patients in TCGA-BRCA and 320 patients in *** weighted gene coexpression network analysis,we pinpointed 34 TNBC immune genes linked to *** least absolute shrinkage and selection operator Cox regression method identified key TNBC immune candidates for prognosis *** calculated chemotherapy sensitivity scores using the“pRRophetic”package in R software and assessed immunotherapy response using the Tumor Immune Dysfunction and Exclusion ***:In this study,34 survival-related TNBC immune gene expression profiles were identified.A least absolute shrinkage and selection operator-Cox regression model was used and 15 candidates were prioritized,with a concomitant establishment of a robust risk immune *** high-risk TNBC immune groups showed increased sensitivity to therapeutic agents like RO-3306,Tamoxifen,Sunitinib,JNK Inhibitor VIII,XMD11-85h,BX-912,and *** analysis of the Search Tool for Interaction of Chemicals database revealed the associations between the high-risk group and signaling pathways,such as those involving Rap1,Ras,and *** low-risk group showed a higher immunotherapy response rate,as observed through the tumor immune dysfunction and exclusion analysis in the TCGA-TNBC and METABRIC-TNBC ***:This study provides insights into the immune complexities of TNBC,paving the way for novel diagnostic approaches and precision treatment methods that exploit its immunological intricacies,thus offering hope for improved management and outcomes of this challenging disease.

关键词： Triple-negative breast cancer Immune classifier Least absolute shrinkage and selection operator Prognosis Precision treatment