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| 1 | Bidding Strategy of a Virtual Power Plant Considering Carbon-electricity Trading显示文摘Virtual power plant(VPP)aggregates large amounts of distributed energy and controllable loads.The comprehensive consideration of carbon emissions and electricity transactions has great significance in improving the VPP operation’s economic efficiency.In this paper,the bidding strategy of the VPP by considering the carbon-electricity integration trading in an auxiliary service(AS)market is studied.First of all,the basic structure and operating features of the VPP are briefly introduced.Then,the bidding strategy model of carbon-electricity integration trading in an auxiliary service market is proposed and the corresponding objective function and the constraint conditions are also analyzed.Furthermore,the GAMS solver is utilized to give the optimal solution of the bidding strategy model.Finally,the effectiveness of the bidding strategy of a VPP based on the consideration of carbon-electricity integration trading is verified through simulation cases. | Dechang Yang Shaowen He Qiuyue Chen Dingqian Li Hrvoje Pandzic | 2019 | CSEE Journal of Power and Energy Systems2019，5，3： | 14 |
| 2 | Serum Ferritin Concentration Predicts Mortality in Patients with Hepatitis B Virus-related Acute on Chronic Liver Failure显示文摘 | Linlin Chen Jianpin Wu Yuemei Chen Dingqian Wu Jin Yang | 2014 | Archives of Medical Research2014，，： | 2 |
| 3 | Numerical Study of Trapped Solid Particles Displacement From the Elbow of an Inclined Oil Pipeline显示文摘The solid particle impurities generated by pipe wall corrosion might deposit at the elbow of hilly pipelines during the production shutdown of oil pipelines.These solid particle impurities will seriously affect the safety of the pipeline operation and the quality of the petroleum products.Thus,it is necessary to study the methods of removing these trapped particles from pipelines.At present,the most common way to remove these solid particle impurities is pigging oil pipelines periodically by utilizing the mechanical pigging method,while the frequent pigging operation will increase the cost and risk of pipeline operation.It is very convenient and economical to remove the accumulated particles out from the pipeline by oil stream,which can be named Hydraulic Pigging Method(HPM).However,the behavior mechanism of particle in flowing oil is still unclear.This motivates the present research on the particles flushed out by the flowing oil.A numerical model governing the trapped particles displacement from the elbow of an inclined oil pipeline is established in the Euler-Lagrangian framework.The simulation is achieved via CFD coupling with DEM.The CFD method is employed to solving the continuous phase flow,while the discrete particle phase is tracked by the DEM.The numerical model is first validated by comparison with results taken from the published literature.From the simulation results,it is observed that the oil stream,carrier phase,can only flush out the solid particles in a certain diameter range under the given operation conditions,and the particles whose diameter beyond that diameter range will cannot be removed out from the pipeline.The influence of the pipe inclined angle,the oil bulk velocity and the particle diameter on the particle migration characteristics is examined in detail.Furthermore,in order to enhance the efficiency of HPM,an Enhanced Hydraulic Pigging Method based on Multi-Physical Field Collaboration(EHPM-MPFC)is also proposed in the present work.The EHPM-MPFC is validated for having high pigging efficiency via the comparison of the migration characteristics of particles during the EHPM-MPFC and HPM process.The present results can provide the guidance to the HPM operation of products pipelines. | Dingqian Ding Yongtu Liang Yansong Li Jianfei Sun Dong Han Jing Liu | 2019 | Computer Modeling in Engineering & Sciences2019，，10： | 1 |
| 4 | Active optics in LAMOST 显示文摘 | SU Dingqian CUI Xiangqun | 2004 | Chinese Journal of Astronomy and Astrophysises (S0253-2379)2004，4，1： | 1 |
| 5 | The Convergence Rate from Discrete to Continuous Optimal Investment Stopping Problem显示文摘The author studies the optimal investment stopping problem in both continuous and discrete cases, where the investor needs to choose the optimal trading strategy and optimal stopping time concurrently to maximize the expected utility of terminal wealth.Based on the work of Hu et al.(2018) with an additional stochastic payoff function,the author characterizes the value function for the continuous problem via the theory of quadratic reflected backward stochastic differential equations(BSDEs for short) with unbounded terminal condition. In regard to the discrete problem, she gets the discretization form composed of piecewise quadratic BSDEs recursively under Markovian framework and the assumption of bounded obstacle, and provides some useful a priori estimates about the solutions with the help of an auxiliary forward-backward SDE system and Malliavin calculus. Finally, she obtains the uniform convergence and relevant rate from discretely to continuously quadratic reflected BSDE, which arise from corresponding optimal investment stopping problem through above characterization. | Dingqian SUN | 2021 | Chinese Annals of Mathematics,Series B2021，42，2： | 0 |
| 6 | Quantitative stability and numerical analysis of Markovian quadratic BSDEs with reflection显示文摘We study the quantitative stability of solutions to Markovian quadratic reflected backward stochastic differential equations(BSDEs)with bounded terminal data.By virtue of bounded mean oscillation martingale and change of measure techniques,we obtain stability estimates for the variation of the solutions with different underlying forward processes.In addition,we propose a truncated discrete-time numerical scheme for quadratic reflected BSDEs and obtain the explicit rate of convergence by applying the quantitative stability result. | Dingqian Sun Gechun Liang Shanjian Tang | 2022 | Probability, Uncertainty and Quantitative Risk2022，7，1： | 0 |
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