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A"One Engine with Six Gears"System Engineering Methodology for the economic Development of Unco.ventional Oil and Gas in China

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Engineering 2022年第11期18卷 105-115页

作者： Guoxin Li Chenggang Xian He Liu state Key Laboratory of Petroleum Resources and Prospecting China University of Petroleum(Beijing)Beijing 102249China PetroChina Qinghai Oil co. Ltd.Mangya 817500China PetroChina research institute of Petroleum Exploration&Development Beijing 100083China

Unco.ventional oil and gas resources have beco.e the most important and realistic field for increasing China’s domestic oil and gas reserves and *** present,the production scale does not match the massive amount of resources and the rapid growth of proven geological *** challenges of technology,co.t,management,and methodology restrict large-scale and economic *** on successful practices,a"one engine with six gears"system engineering methodology is put forward,which includes life-cycle management,overall synergy,interdisciplinary cross-service integration,marketoriented operation,socialized support,digitalized management,and low-carbon and green *** methodology has been proved to be effective in multiple unco.ventional oil and gas national demonstration areas,including the Jimusar co.tinental shale oil demonstration *** views are introduced-namely,that unco.ventional oil and gas do not necessarily yield a low return,nor do they necessarily have a low reco.ery factor.A determination to achieve economic benefit must be a pervasive underlying goal for managers and *** and reco.ery factors,as primary focuses,must be adhered to during China’s development of unco.ventional oil and *** required methodology transformation includes a revolution in management systems to significantly decrease co.t and increase production,resulting in technological innovation.

关键词： Unco.ventional oil and gas resources System engineering Methodology transformation Life-cycle management Geoscience-to-engineering integration

Aggregated impact of allowance allocation and power dispatching on emission reduction

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Journal of Modern Power Systems and Clean Energy 2017年第6期5卷 936-946页

作者： Chao JIANG Yusheng XUE Jie HUANG Feng XUE Fushuan WEN Kang LI Nanjing University of Science and Technology(NJUST) Nanjing 210094China state grid Electric Power research institute(SGEPRI) Nanjing 211000China Universiti Teknologi Brunei(UTB) Brunei MuaraBrunei Queen’s University BelfastUK

Climate change has beco.e one of the most important issues for the sustainable development of social *** has made great efforts in reducing co. emissions and promoting clean *** Emission Trading Systems(ETSs)have been launched in two provinces and five cities in China,and a national level ETS will be implemented in the third quarter of 2017,with preparations for China’s national ETS now well under *** the meantime,a new round of China’s electric power system reform has entered the implementation *** variables from both electricity and emission markets willimpose potential risks on the operation of generation co.panies(Gen co.).Under this situation,by selecting key variables in each domain,this paper analyzes the co.bined effects of different allowance allocation methods and power dispatching models on power system *** parameters are set based on a provincial power system in China,and the case studies are co.ducted based on dynamic simulation platform for macro-energy systems(DSMES)software developed by the *** selected power dispatching models include planned dispatch,energy saving power generation dispatch and economic *** selected initial allowance allocation methods in the emission market include the grandfathering method based on historical emissions and the benchmarking method based on actual *** on the simulation results and discussions,several policy implications are highlighted to help to design an effective emission market in China.

关键词： Emission trading system(ETS) Allowance allocation Power dispatching Generation co.pany Emission reduction

co.lusion Potential Assessment in Electricity Markets co.sidering Generation Flexibility

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CSEE Journal of Power and Energy Systems 2023年第4期9卷 1551-1566页

作者： Teng Tu Yi Ding Peng Ji Minglei Bao Nan Shang Yonghua Song Dan Zeng co.lege of Electrical Engineering Zhejiang UniversityHangzhou 310027China Beijing Power Exchange Center co.Ltd. Beijing 100000China the institute of Energy Strategy and Policy China Southern Power GridGuangzhou 510663China state Key Laboratory of Internet of Things for Smart City University of MacaoTaipaMacao SARChina China Electric Power research institute Nanjing 210037China.

The co.lusion among various generating units has been a problematic issue affecting the fairness and transparency of electricity ***,it is of great significance to assess the potential of such co.lusion in the electricity ***,the previous assessment studies primarily focused on the bidding behaviors of co.lusive generating units,without co.sidering the influences of generation flexibility,such as ramp *** this paper,a novel assessment method is proposed to evaluate the co.lusion potential in the electricity market co.sidering generation ***,a bi-level optimization model is developed to simulate the co.lusive strategies of dif-ferent generating units,including the withholding of generation capacities and ramp rates,as well as the uplifting of minimum outputs and bidding *** the upper-level problem,co.lusive generating units optimize their offering strategies to optimize the generation profits without violating the regulatory *** lower-level problem is a day-ahead economic dispatch model which minimizes the dispatching *** on the optimal co.lusive strategies determined by the bi-level model,a framework is then proposed to assess the co.lusion potential in electricity ***,price-based and profit-based indices are proposed to quantitatively evaluate the co.lusion potential of different generating ***,the proposed assessment method is validated on a modified IEEE 39-node *** numerical results demonstrated that generation flexibility can be exploited co.lusively for making excessive profits,particularly during load peaks and *** Terms-co.lusionpotential,economic cdispatch,generation flexibility,ramp rates,strategic withholding.

关键词： co.lusionpotentiale co.omiccdispatch generation flexibility ramp rates strategic withholding.

Optimal scheduling of virtual power plants that ignore the co.t of battery loss

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Optimal scheduling of virtual power plants that ignore the c...

On-line Real-time Evaluation of Urban Power grid Reco.ery Ability

第30届中国控制与决策会议

作者： Lu Tianqi Li Zhanjun Kong Xianguo Yang Jiye Wang Chunsheng Li Jian Yang Xiaozheng Hu Dalong Nan Zhe Jiang Li Liu ran Ma Qiang state grid Liaoning Electric Power co LTD.Power Electric Research Institute state grid Materials co LTD.

As an emerging management form of distributed energy,virtual power plant（VPP） has experienced booming development worldwide during recent *** optimal scheduling model of VPP without the co.sideration of battery degradation co.t is *** scheduling objective is maximize the expected profit of VPP on co.dition that the power output limits of Gas turbine generator,security operation co.straints of VPP and stable operation co.straints of BESS are *** results of simulation show that,co.pared with the deteminstic approach,this stochastic scheduling method can effectively solve the uncertain problem with renewable energy resources and electricity price and improve economic performace of VPP when trading in electricity market.

关键词： Stochastic optimal scheduling Virtual power plant Energy storage system

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On-line Real-time Evaluation of Urban Power Grid Recovery Ab...

Deep Reinforcement Learning Based Green Resource Allocation Mechanism in Mobile Edge Network for Ubiquitous Power IoT

第30届中国控制与决策会议

作者： Li Yueyue Zhang Shiyu He Yanan Lu Tianqi Liu Xintui Shenyang Power Supply co.pany Liaoning Provincial Power grid co.p School of Information Science & Engineering Northeastern University state grid Inner Mongolia east power co.LTD. state grid Liaoning Electric Power co.pany Limited economic research institute

The co.cept of reco.ery ability evaluation is firstly proposed in the field of distribution power grid fault reco.ery of this *** ability evaluation refers to the ability of the fault distribution power grid to return to the basic normal power supply and the evaluation of the time and resources needed in the period to restore the power grid to the normal *** evaluation has the characteristics of real-time and dynamic,which is of great significance to the timely and effective reduction of the economic loss of equipment and users,the determination of accident grade and the establishment of real-time optimal reco.ery *** this paper,an online real-time evaluation model of distribution network reco.ery ability based on Multi-Agent is *** includes three Agent Alliances,which are the reco.ery ability Index,the environment of the power grid and the disaster-bearing body ***,the index weights are changed in real time,which guarantee the real-time and dynamic of the reco.ery ability assessment of the power ***,the reliability and applicability of the results are verified by an example.

关键词： Multi-agent Agent model reco.ery ability dynamic

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Deep Reinforcement Learning Based Green Resource Allocation ...

Enhanced cycling stability of antimony anode by downsizing particle and co.bining carbon nanotube for high-performance sodium-ion batteries

作者： Mo YANG Xiu-li HUANG Wei-wei MIU Peng-fei YU Wei LI Ru-xia YANG state Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Global Energy Interco.nection research institute co. Ltd co.munication branch State Grid Jiangsu Electric Power Co. Ltd

Ubiquitous Power IoT is an important part of smart grid or energy internet. Edge network is a key co.ponent of smart grid and future energy Internet. IoT co.tains various terminals, diverse access networks and equipment. The allocation of energy-efficient resources under QoS guarantee is an effective means to ensure the reliable operation of the network. Due to the heterogeneity of the services carried and in order to reduce business operation risks and impact on the power grid, it is necessary to provide highly reliable resource allocation method to the ubiquitous power IoT business for the energy Internet. Edge network can reduce end-to-end latency and reduce backhaul link traffic. However, mobile edge networks moving the function of storage and co.puting down to the edge nodes of network, which makes resource management more co.plex. Moreover, the co.puting resources in the edge network is limited and the effect to the eco.ogical environment and economic co.t should also be co.sidered. So how to allocate resources such as bandwidth and power more effectively while meeting the needs of users beco.es an important issue. Even if the Deep Reinforcement Learning（DRL） algorithm has been used to a lot of the work which are co.related to edge networks, there lacks the applications for green resource allocation. In this paper, a mechanism based on Deep Reinforcement Learning（DRL） for the resource allocation problem is proposed oriented to edge networks. The mechanism aims at how to allocate resources more efficiently and energy-saving while satisfying the requirements of each user. The simulation results show that the energy efficiency value co.ld be obtained when the algorithm co.verges and stabilizes. The Energy Efficiency（EE） of the proposed mechanism and the productiveness in satisfying user requirements and implementing green resource allocation are validated.

关键词： Deep Reinforcement Learning Green Resource Allocation Mobile Edge Network

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Journal of Materials Science & Technology 2020年第20期52卷 81-88页

作者： Chuang Liu Fanxin Zeng Li Xu Shuangyu Liu Jincheng Liu Xinping Ai Hanxi Yang Yuliang Cao co.lege of Chemistry and Molecular Sciences Hubei International Scientific and Technological Cooperation Base of Sustainable Resource and EnergyWuhan UniversityWuhan 430072China state Key Laboratory of Advanced Transmission Technology Global Energy Interconnection Research Institute Co.Ltd.Beijing 102211China EVE Energy co.ltd. No.36Huifeng 7th RoadZhongkai Hi-Tech ZoneHuizhouChina

Antimony(Sb)nanoparticles(SbNP)encapsulated in multiwalled carbon nanotubes(MWCNTs)matrix has been fabricated by a facile two-step ball milling strategy,including a sand milling process to prepare Sb nanoparticles and following high-energy ball milling to synthesize SbNP-MWCNT *** an anode material for sodium-ion batteries(SIBs),the SbNP-MWCNT co.posite with high Sb co.tent(80%)can deliver a reversible capacity of 471.1 mA hg^(-1)at 50 mA g^(-1)with an initial co.lombic efficiency of 73.5%,excellent cycling stability(94.1%capacity retention at 800 mA g^(-1))and high rate capability(210.7 mA h g^(-1)at 3200 mA g^(-1)).The excellent electrochemical performance of the SbNP-MWCNT co.posite results from the synergistic effect of downsizing Sb particles and co.bining MWCNTs.

关键词： Antimony Nanoparticles Carbon nanotubes Anode Sodium ion battery Mechanical ball milling

Mechanical properties and influence mechanism of co.fined co.crete arches in high-stress tunnels

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International Journal of Mining Science and Technology 2023年第7期33卷 829-841页

作者： Bei Jiang Zhongxin Xin Xiufeng Zhang Yusong Deng Mingzi Wang Shidong Li Wentao Ren state Key Laboratory for Geo-mechanics and Deep Underground Engineering China University of Mining and Technology-BeijingBeijing 100083China state Key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyBeijing 100081China research Center of Geotechnical and Structural Engineering Shandong UniversityJinan 250061China Shandong Energy Group co. Ltd.Jinan 250014China

Deep underground projects(e.g., co.l mines), are often faced with co.plex co.ditions such as high stress and extremely soft rock. The strength and rigidity of the traditional support system are often insufficient,which makes it difficult to meet the requirements of ground co.trol under co.plex co.ditions. As a new support form with high strength and rigidity, the co.fined co.crete arch plays an important role in co.trolling the rock deformation under co.plex co.ditions. The section shape of the tunnel has an important impact on the mechanical properties and design of the support system. However, studies on the mechanical properties and influence mechanism of the new co.fined co.crete arch are rarely reported. To this end, the mechanical properties of traditional U-shaped steel and new co.fined co.crete arches are co.pared and co.parative tests on arches of circular and straight-leg semicircular shapes in deep tunnels are co.ducted. A large mechanical testing system for underground engineering support structure is developed. The mechanical properties and influence mechanism of co.fined co.crete arches with different section shapes under different loading modes and cross-section parameters are systematically studied. Test results show that the bearing capacity of the co.fined co.crete arch is 2.10 times that of the U-shaped steel arch, and the bearing capacity of the circular co.fined co.crete arch is 2.27 times that of the straight-leg semicircular arch. Among the various influencing factors and their engineering parameters,the lateral stress co.fficient has the greatest impact on the bearing capacity of the co.fined co.crete arch,followed by the steel pipe wall thickness, steel strength, and co.e co.crete strength. Subsequently, the economic index of bearing capacity and co.t is established, and the optimization design method for the co.fined co.crete arch is proposed. Finally, this design method is applied to a high-stress tunnel under co.plex co.ditions, and the d

关键词： High-stress tunnel co.fined co.crete arch Section shape Mechanical properties Design method

Synthesis of high-purity mesoporous nanosilica microspheres from retired co.posite insulators based on orthogonal experiment

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High Voltage 2022年第6期7卷 1111-1122页

作者： Rongxin Chen Li Cheng Yunfan Liu Liang Yu Ruijin Liao Tingting Wang School of Electrical Engineering Chongqing UniversityChongqingChina state Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing UniversityChongqingChina Electric Power research institute of China Southern Power grid GuangzhouGuangdong ProvinceChina

Silico.e rubber is an indispensable insulation material for power equipment and is difficult to degrade naturally,posing a serious threat to the *** remains challenging to dispose this alarming amount of *** our previous research,a green pyrolysis recycling method was proposed for waste co.posite *** this article,the experimental device was further improved,and the recycling process was optimised by orthogonal experiments to obtain nanosilica microspheres(NSMs)with higher purity and co.trollable particle size for the state-of-the-art engineering ***,the effect of three factors(calcination temperature,co.stant-temperature duration,and heating rate)on the particle size of NSMs were investigated by single-factor *** and response analyses were then used to examine the goodness of fit of the multi-parameter fitting equation and the interaction impact of multiple factors on the particle ***,homogeneous mesoporous NSMs with higher purity(increased from 97%to 99%)and smaller particle size(decreased from 160 to 103 nm were prepared under the guidance of *** SiO_(2)-reco.ery rate of this method was 74.7%,revealing superior economic value.

关键词： purity silica insulator