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| 1 | Multi-objective Dynamic Reconfiguration for Urban Distribution Network Considering Multi-level Switching Modes显示文摘The increasing integration of photovoltaic generators(PVGs) and the uneven economic development in different regions may cause the unbalanced spatial-temporal distribution of load demands in an urban distribution network(UDN). This may lead to undesired consequences, including PVG curtailment, load shedding, and equipment inefficiency, etc. Global dynamic reconfiguration provides a promising method to solve those challenges. However, the power flow transfer capabilities for different kinds of switches are diverse, and the willingness of distribution system operators(DSOs) to select them is also different. In this paper, we formulate a multi-objective dynamic reconfiguration optimization model suitable for multi-level switching modes to minimize the operation cost, load imbalance, and the PVG curtailment. The multi-level switching includes feeder-level switching, transformer-level switching, and substation-level switching. A novel load balancing index is devised to quantify the global load balancing degree at different levels. Then, a stochastic programming model based on selected scenarios is established to address the uncertainties of PVGs and loads. Afterward, the fuzzy c-means(FCMs) clustering is applied to divide the time periods of reconfiguration. Furthermore, the modified binary particle swarm optimization(BPSO)and Cplex solver are combined to solve the proposed mixed-integer second-order cone programming(MISOCP) model. Numerical results based on the 148-node and 297-node systems are obtained to validate the effectiveness of the proposed method. | Hongjun Gao Wang Ma Yingmeng Xiang Zao Tang Xiandong Xu Hongjin Pan Fan Zhang Junyong Liu | 2022 | Journal of Modern Power Systems and Clean Energy2022，10，5： | 2 |
| 2 | Internal biliary drainage is superior to external drainage in reversing the serum tumor necrosis factor2alpha and the expression of inducible nitric oxide synthase mRNA By Kupffer cells in ratswith obstructive jaundice 显示文摘 | YingMeng Yunsheng Yang Wen Li | 2007 | Gastroint Endosc2007，65，5： | 1 |
| 3 | Biological effect of expression of exogenous human nuclear receptor hLRH-1 in SW480 cells and its molecular mechanism显示文摘Objective: To explore the possible biological function of human nuclear receptor hLRH-1 in tumorigenesis and progress of colon cancer. Methods: Plasmids pcDNA3-hLRH-1 were introduced into SW480 cells via lipofectamine. The expression of mRNA and protein of exogenous hLRH-1 were detected by RT-PCR and western blotting, respectively. MTT assay was carried out to survey the proliferation of SW480 cells with overexpression of hLRH-1. Meanwhile, the expression of proliferation-related genes cyclin E1 and cyclin D1, and apoptosis-related genes PTEN and Rb1, were analyzed by real- time RT-PCR. Results: The proliferation of SW480 cells was promoted under the condition of overexpression of hLRH-1. The expression of cyclin E1 was up-regulated significantly, while that of PTEN and Rb1 were down-regulated in SW480 cells with overexpressed hLRH-1. Conclusion: The expression of exogenous hLRH-1 in SW480 cells induced the proliferation resulting form up-regulation of cyclin E1, as well as participated in the regulation of apoptosis via influencing the expression of PTEN and Rb1. | Shuiliang Wang Yingmeng Zheng Fenghua Lan | 2007 | The Chinese-German Journal of Clinical Oncology2007，6，3： | 1 |
| 4 | In-situ design and construction of lithium-ion battery electrodes on metal substrates with enhanced performances:A brief review显示文摘For the ever-growing demand of advanced lithium-ion batteries, it is highly desirable to grow self-supported micro-/nanostructured arrays on metal substrates as electrodes directly. The in-situ growth of electrode materials on the conducting substrates greatly simplifies the electrode fabrication process without using any binders or conductive additives. Moreover, the well-ordered arrays closely connected to the current collectors can provide direct electron transport pathways and enhanced accommodation of strains arisen from lithium ion lithiation/delithiation. This article summarizes our recent work on design and construction of lithium-ion battery electrodes on metal substrates. An aqueous solution-based process and a microemulsion-mediated process have been respectively presented to control the kinetic and thermodynamic processes for the micro-/nanostructured array growth on metal substrates, with particular attention to CuO nanorod arrays and microcog arrays successfully prepared on Cu foil substrates. They can be directly used as binder-free electrodes to build advanced lithium-ion batteries with high energy, high safety and high stability. | Weixin Zhang Yingmeng Zhang Zeheng Yang Gongde Chen Guo Ma Qiang Wang | 2016 | Chinese Journal of Chemical Engineering2016，24，1： | 1 |
| 5 | Bounded Rationality Based Multi-VPP Trading in Local Energy Markets:A Dynamic Game Approach with Different Trading Targets显示文摘It is expected that multiple virtual power plants(multi-VPPs)will join and participate in the future local energy market(LEM).The trading behaviors of these VPPs needs to be carefully studied in order to maximize the benefits brought to the local energy market operator(LEMO)and each VPP.We propose a bounded rationality-based trading model of multiVPPs in the local energy market by using a dynamic game approach with different trading targets.Three types of power bidding models for VPPs are first set up with different trading targets.In the dynamic game process,VPPs can also improve the degree of rationality and then find the most suitable target for different requirements by evolutionary learning after considering the opponents’bidding strategies and its own clustered resources.LEMO would decide the electricity buying/selling price in the LEM.Furthermore,the proposed dynamic game model is solved by a hybrid method consisting of an improved particle swarm optimization(IPSO)algorithm and conventional largescale optimization.Finally,case studies are conducted to show the performance of the proposed model and solution approach,which may provide some insights for VPPs to participate in the LEM in real-world complex scenarios. | Hongjun Gao Fan Zhang Yingmeng Xiang Shengyong Ye Xuna Liu Junyong Liu | 2023 | CSEE Journal of Power and Energy Systems2023，9，1： | 1 |
| 6 | Hook Wire Localization of Pulmonary Pure Ground-Glass Opacities for Video-Assisted Thoracoscopic Surgery显示文摘 | Weizhao Huang Hongyu Ye Yingmeng Wu Wei Xu Xuan Tang Yi Liang Junmeng Zheng Haiming Jiang | 2013 | Thorac cardiovasc Surg2013，，： | 1 |
| 7 | Rechargeable Aqueous Zinc-Ion Batteries in MgSO4/ZnSO4 Hybrid Electrolytes显示文摘MgSO4 is chosen as an additive to address the capacity fading issue in the rechargeable zinc-ion battery system of MgxV2O5·nH2O//ZnSO4//zinc.Electrolytes with different concentration ratios of ZnSO4 and MgSO4 are investigated.The batteries measured in the 1 M ZnSO4^-1 M MgSO4 electrolyte outplay other competitors,which deliver a high specific capacity of 374 mAh g^-1 at a current density of 100 mA g^-1 and exhibit a competitive rate performance with the reversible capacity of 175 mAh g^-1 at 5 A g^-1.This study provides a promising route to improve the performance of vanadium-based cathodes for aqueous zinc-ion batteries with electrolyte optimization in cost-effective electrolytes. | Yingmeng Zhang Henan Li Shaozhuan Huang Shuang Fan Lingna Sun Bingbing Tian Fuming Chen Ye Wang Yumeng Shi Hui Ying Yang | 2020 | Nano-Micro Letters2020，12，5： | 1 |
| 8 | Hybrid CuO-Co_(3)O_(4)nanosphere/RGO sandwiched composites as anode materials for lithium-ion batteries显示文摘Hybrid CuO-Co_(3)O_(4)nanosphere building blocks have been embedded between the layered nanosheets of reduced graphene oxides with a three dimensional(3D)hybrid architecture(CuO-Co_(3)O_(4)-RGO),which are successfully applied as enhanced anodes for lithium-ion batteries(LIBs).The CuO-Co_(3)O_(4)-RGO sandwiched nanostructures exhibit a reversible capacity of~847 mA·h·g^(-1)after 200 cycles’cycling at 100 mA·g^(-1)with a capacity retention of 79%.The CuO-Co_(3)O_(4)-RGO compounds show superior electrochemical properties than the comparative CuO-Co_(3)O_(4),Co_(3)O_(4)and CuO anodes,which may be ascribed to the following reasons:the hybridizing multicomponent can probably give the complementary advantages;the mutual benefit of uniformly distributing nanospheres across the layered RGO nanosheets can avoid the agglomeration of both the RGO nanosheets and the CuO-Co_(3)O_(4) nanospheres;the 3D storage structure as well as the graphene wrapped composite could enhance the electrical conductivity and reduce volume expansion effect associated with the discharge-charge process. | Yingmeng Zhang Luting Liu Qingwei Deng Wanlin Wu Yongliang Li Xiangzhong Ren Peixin Zhang Lingna Sun | 2022 | Chinese Journal of Chemical Engineering2022，35，7： | 1 |
| 9 | Orbital angular momentum multiplexing communication system over atmospheric turbulence with K-best detection显示文摘As the optical communication technology advances, vortex beam with orbital angular momentum(OAM) has gained wide attention due to its potential to significantly increase the channel capacity. Under the influence of atmospheric turbulence, there are still challenging problems in the OAM multiplexing system. To the best of our knowledge, in this paper one multiple-input-multiple-output(MIMO) detection technology named K-best detection, is first applied to the OAM multiplexing system. Numerical simulation results indicate the proposed solution enhances the performance of the optical communication system compared with data-aided least mean square(DA-LMS) and minimum mean squared error(MMSE) detection. Furthermore,with MMSE sorted QR decomposition(MMSE-SQRD) preprocessing, the performance of K-best detection can be further improved. When C_(n)^(2)= 1×10^(-14), about 4.4 dB signal-to-noise ratio(SNR) gain can be obtained by preprocessing at k = 2 while the complexity is not significantly increased. Computational complexity is also analyzed in this paper, results show that K-best detection with winner path extension(WPE) algorithm can achieve 43% system complexity reduction, achieving a compromise between performance and complexity in K-best detection. | Yingmeng GE Liang WU Chuan ZHANG Zaichen ZHANG | 2021 | Science China(Information Sciences)2021，64，9： | 0 |
| 10 | RFID mutual-authentication protocol with synchronous updatedkeys based on Hash function显示文摘With the wide application of radio frequency identification(RFID) technology, its security privacy issues are becoming more and more prominent. A RFID mutual-authentication protocol with synchronous updated-keys based on Hash function is proposed to tackle those problems in this paper. An updated mechanism of the dynamic tag keys is introduced and a self-synchronized scheme is designed in the protocol, which has achieved the second verification for the tags. The security of the protocol is verified and analyzed by the Burrows-Abadi-Needham(BAN) logic and the attack models, moreover it has been compared with the existing schemes of security properties and its storage and computational performance. The results show that the proposed protocol has the ability to considerably reduce the amount of computation between tags and back-end database, and enhance the search efficiency of the whole system without the additional cost of the tags. It can satisfy safe requirements of RFID system effectively, also improve the authentication efficiency. The proposed protocol is more suitable for the low cost RFID system. | Zhang Xiaohong Hu Yingmeng | 2015 | The Journal of China Universities of Posts and Telecommunications2015，22，6： | 0 |
| 11 | Unsupervised Learning for Non-intrusive Load Monitoring in Smart Grid Based on Spiking Deep Neural Network显示文摘This paper investigates the intelligent load monitoring problem with applications to practical energy management scenarios in smart grids.As one of the critical components for paving the way to smart grids’success,an intelligent and feasible non-intrusive load monitoring(NILM)algorithm is urgently needed.However,most recent researches on NILM have not dealt with practical problems when applied to power grid,i.e.,①limited communication for slow-change systems;②requirement of low-cost hardware at the users’side;and③inconvenience to adapt to new households.Therefore,a novel NILM algorithm based on biology-inspired spiking neural network(SNN)has been developed to overcome the existing challenges.To provide intelligence in NILM,the developed SNN features an unsupervised learning rule,i.e.,spike-time dependent plasticity(STDP),which only requires the user to label one instance for each appliance while adapting to a new household.To upgrade the feasibility in NILM,the designed spiking neurons mimic the mechanism of human brain neurons that can be constructed by a resistor-capacitor(RC)circuit.In addition,a distributed computing system has been designed that divides the SNN into two parts,i.e.,smart outlets and local servers.Since the information flows as sparse binary vectors among spiking neurons in the developed SNN-based NILM,the high-frequency data can be easily compressed as the spike times,and are sent to the local server with limited communication capability,whereas it is unable to handle the traditional NILM.Finally,a series of experiments are conducted using a benchmark public dataset.Meanwhile,the effectiveness of developed SNN-based NILM can be demonstrated through comparisons with other emerging NILM algorithms such as the convolutional neural networks. | Zejian Zhou Yingmeng Xiang Hao Xu Yishen Wang Di Shi | 2022 | Journal of Modern Power Systems and Clean Energy2022，10，3： | 0 |
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