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Probing the bonding and structures of metal-organic radicals with zero energy electrons

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Science China Chemistry 2011年第12期54卷 1831-1840页

作者： yang dongsheng Department of Chemistry University of Kentucky Lexington KY 40506-0055 USA

Metal-organic radicals are reactive and transient because of the existence of unpaired valence electrons,and thus the characterization of these open-shell systems is *** our work,the radicals are synthesized by the reaction of bare metal atoms and organic ligands in a laser-vaporization supersonic molecular beam source and characterized with pulsed-field ionization zero electron kinetic energy(ZEKE) *** molecular beam ZEKE technique routinely yields sub-meV spectral resolution and is a powerful means to study the molecular bonding and *** account presents several examples of single-photon ZEKE spectroscopic applications in determining metal binding modes and molecular conformations.

关键词： pulsed field ionization ZEKE photoelectron metal-organic radicals molecular conformation

Anti-plane problem of nano-cracks emanating from a regular hexagonal nano-hole in one-dimensional hexagonal piezoelectric quasicrystals

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Chinese Physics B 2020年第10期29卷 328-335页

作者： dongsheng yang Guanting Liu College of Mathematics Science Inner Mongolia Normal UniversityHohhot 010022China

By constructing a new conformal mapping function, we study the surface effects on six edge nano-cracks emanating from a regular hexagonal nano-hole in one-dimensional (1D) hexagonal piezoelectric quasicrystals under anti-plane shear. Based on the Gurtin–Murdoch surface/interface model and complex potential theory, the exact solutions of phonon field, phason field and electric field are obtained. The analytical solutions of the stress intensity factor of the phonon field, the stress intensity factor of the phason field, the electric displacement intensity factor and the energy release rate are given. The interaction effects of the nano-cracks and nano-hole on the stress intensity factor of the phonon field, the stress intensity factor of the phason field and the electric displacement intensity factor are discussed in numerical examples. It can be seen that the surface effect leads to the coupling of phonon field, phason field and electric field. With the decrease of cavity size, the influence of surface effect is more obvious.

关键词： one-dimensional quasicrystals piezoelectricity surface effect energy release rate

Emission Trading Based Optimal Scheduling Strategy of Energy Hub with Energy Storage and Integrated Electric Vehicles

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Journal of Modern Power Systems and Clean Energy 2020年第2期8卷 267-275页

作者： Yanhong Luo Xinwen Zhang dongsheng yang Qiuye Sun the School of Information Science and Engineering Northeastern UniversityShenyang 110004China

This paper focuses on the optimal scheduling of the district energy system with multiple energy supply modes and flexible *** multi-energy system(MES),the energy hub(EH)model including energy storage system and integrated electric vehicle(EV)is *** on the model,the influence of pollutant trading market on total operation cost is analyzed,and the optimal scheduling strategy is further put forward to realize the minimum purchase cost and emission tax cost of the ***,this paper compares the economic benefit of the fixed mode and the response mode,and discusses the contribution of the energy storage device and the multi-energy complementary mode to energy utilization *** simulation results indicate that optimal scheduling strategy of the EH can coordinate various energy complementary modes ***,the proposed strategy is able to improve the operation economy of the EH,and ensure the better response effect of the demand *** sensitivity analysis demonstrates the impact of pollutant emission price change on emission reduction.

关键词： Energy hub(EH) demand response electric vehicle(EV) energy storage emission trading operation optimization

Robust Optimal Operation of Active Distribution Network Based on Minimum Confidence Interval of Distributed Energy Beta Distribution

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Journal of Modern Power Systems and Clean Energy 2021年第2期9卷 423-430页

作者： Yanhong Luo Qiubo Nie dongsheng yang Bowen Zhou the Department of Electric Engineering Northeastern UniversityShenyang 110004China

With the gradual increase of distributed energy penetration,the traditional optimization model of distribution network can no longer guarantee the stable and efficient operation of the distribution *** order to deal with the inevitable uncertainty of distributed energy,a new robust optimal operation method is proposed for active distribution network(ADN)based on the minimum confidence interval of distributed energy Beta distribution in this ***,an ADN model is established with second-order cone to include the energy storage device,capacitor bank,static var compensator,on-load tap changer,wind turbine and ***,the historical data of related distributed energy are analyzed and described by the probability density function,and the minimum confidence interval is obtained by interval ***,via taking this minimum confidence interval as the uncertain interval,a less conservative two-stage robust optimization model is established and solved for *** simulation results for the IEEE33-bus distribution network have verified that the proposed method can realize a more stable and efficient operation of the distribution network compared with the traditional robust optimization method.

关键词： Active distribution network robust optimization Beta distribution second-order cone

A New Robust Adaptive Neural Network Backstepping Control for Single Machine Infinite Power System With TCSC

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IEEE/CAA Journal of Automatica Sinica 2020年第1期7卷 48-56页

作者： Yanhong Luo Shengnan Zhao dongsheng yang Huaguang Zhang A new robust adaptive neural network backstepping control for single machine infinite power system with TCSC Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110004 School of Information Science and Engineering Northeastern UniversityShenyang 110004China

For a single machine infinite power system with thyristor controlled series compensation(TCSC) device, which is affected by system model uncertainties, nonlinear time-delays and external unknown disturbances, we present a robust adaptive backstepping control scheme based on the radial basis function neural network(RBFNN). The RBFNN is introduced to approximate the complex nonlinear function involving uncertainties and external unknown disturbances, and meanwhile a new robust term is constructed to further estimate the system residual error,which removes the requirement of knowing the upper bound of the disturbances and uncertainty terms. The stability analysis of the power system is presented based on the Lyapunov function,which can guarantee the uniform ultimate boundedness(UUB) of all parameters and states of the whole closed-loop system. A comparison is made between the RBFNN-based robust adaptive control and the general backstepping control in the simulation part to verify the effectiveness of the proposed control scheme.

关键词： Backstepping control radial basis function neural network(RBFNN) robust adaptive control thyristor controlled series compensation(TCSC) uniform ultimate boundedness(UUB)

Multi-objective Optimization of Integrated Energy Systems Considering Ladder-type Carbon Emission Trading and Refined Load Demand Response

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 828-839页

作者： Yanhong Luo Haowei Hao dongsheng yang Bowen Zhou the Department of Electric Engineering Northeastern UniversityShenyang 110004China

In this paper,a novel multi-objective optimization model of integrated energy systems(IESs)is proposed based on the ladder-type carbon emission trading mechanism and refined load demand response ***,the carbon emission trading mechanism is introduced into the optimal scheduling of IESs,and a ladder-type carbon emission cost calculation model based on rewards and penalties is established to strictly control the carbon emissions of the ***,according to different response characteristics of electric load and heating load,a refined load demand response model is built based on the price elasticity matrix and substitutability of energy supply *** these basis,a multi-objective optimization model of IESs is established,which aims to minimize the total operating cost and the renewable energy source(RES)***,based on typical case studies,the simulation results show that the proposed model can effectively improve the economic benefits of IESs and the utilization efficiency of RESs.

关键词： Integrated energy system carbon emission trading load demand response renewable energy source

Optimal Operation of Energy Internet Based on User Electricity Anxiety and Chaotic Spatial Variation Particle Swarm Optimization

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Tsinghua Science and Technology 2018年第3期23卷 243-253页

作者： dongsheng yang Qianqian Chong Bo Hu Min Ma Department of Information Science and Engineering Northeastern University Liaoning Electric Power Company

Ignoring load characteristics and not considering user feeling with regard to the optimal operation of Energy Internet（EI） results in a large error in optimization. Thus, results are not consistent with the actual operating conditions. To solve these problems, this paper proposes an optimization method based on user Electricity Anxiety（EA） and Chaotic Space Variation Particle Swarm Optimization（CSVPSO）. First, the load is divided into critical load, translation load, shiftable load, and temperature load. Then, on the basis of the different load characteristics,the concept of the user EA degree is presented, and the optimization model of the EI is provided. This paper also presents a CSVPSO algorithm to solve the optimization problem because the traditional particle swarm optimization algorithm takes a long time and particles easily fall into the local optimum. In CSVPSO, the particles with lower fitness value are operated by using cross operation, and velocity variation is performed for particles with a speed lower than the setting threshold. The effectiveness of the proposed method is verified by simulation *** results show that the proposed method can be used to optimize the operation of EI on the basis of the full consideration of the load characteristics. Moreover, the optimization algorithm has high accuracy and computational efficiency.

关键词： Electricity Anxiety(EA) Energy Internet(EI) chaotic spatial variation particle swarm optimization optimal operation

Greedysearch based service location in P2P networks

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Journal of Systems Engineering and Electronics 2005年第4期16卷 886-893页

作者： Zhu Cheng Liu Zhong Zhang Weiming yang dongsheng School of Information Systems and Management National Univ. of Defense Technology Changsha 410073 P. R. China

A model is built to analyze the performance of service location based on greedy search in P2P networks. Hops and relative QoS index of the node found in a service location process are used to evaluate the performance as well as the probability of locating the top 5% nodes with highest QoS level. Both model and simulation results show that, the performance of greedy search based service location improves significantly with the increase of the average degree of the network. It is found that, if changes of both overlay topology and QoS level of nodes can be ignored during a location process, greedy-search based service location has high probability of finding the nodes with relatively high QoS in small number of hops in a big overlay network. Model extension under arbitrary network degree distribution is also studied.

关键词： greedy-search service location P2P network.

Experimental and computational investigation of adsorption performance of TC-5A and PSA-5A for manned spacecraft

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Chinese Journal of Aeronautics 2015年第6期28卷 1583-1592页

作者： Liu Meng yang dongsheng Pang Liping Yu Qingni Huang Yong School of Aeronautic Science and Engineering Beihang University National Key Laboratory of Human Factors Engineering China Astronaut Research and Training Center

Two kinds of molecular sieve materials, TC-5A and PSA-5A, were produced to satisfy with special requirement of manned space flight. Their CO2 adsorption performances were investi- gated and compared through two experiments, the thermo gravimetric analysis （TGA） experiment and packed bed column experiment. Besides, some kinetic equations were compared according to the TGA experimental data, and their errors were analyzed. Finally, the classic linear driving force （LDF） model is improved to the new Avrami＇s model, and two models are analyzed based on the packed bed data. The TGA data shows that the CO2 loading has an approximately linear relation- ship with the CO2 concentration, and the best fit adsorption temperature range is from 283 to 303 K. The packed bed column results show that water vapor in air can affect the CO2 adsorption performance badly. The new Avrami＇s model is proved more suitable to reflect the complex adsorption mechanism for two molecular sieves. The materials are proved having much better adsorption capacity than the other adsorbents with room temperature and low CO2 concentration （≤ 1.0% in volume）, and they can meet the aerospace requirements. This work will benefit the optimal design and simulation of the air revitalization （AR） system for Chinese manned spacecraft.

关键词： CO2 adsorption Dynamic simulation Experimental analysis Manned spacecraft Molecular sieve