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Optimal power and energy sizing of compressed air energy storage in distribution network using multiparametric programming

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IOP Conference Series: Earth and Environmental Science 2021年第1期675卷

作者： Fan Chen Zhongjie Guo Qiyou Lin Xiaodai Xue Yuguang Xie Shengwei Mei State Grid Anhui Electric Power Research Institute Hefei 230601 China State Key Lab of Control and Simulation of Power Systems and Generation Equipments (Dept. of Electrical Engineering Tsinghua University) Haidian District Beijing 100084 China State Grid Wuhu Electric Power Supply Company Wuhu 241027 China

As a new type of mechanical energy storage, compressed air energy storage (CAES) has attracted wide attention in recent years. This paper studies the optimal sizing problem of CAES in power distribution network (PDN). CAES plays a role in shaving the peak and filling the valley at demand side and thus reduces the operation cost of PDN to purchase electricity from the main grid. A multi-parametric linear programming (MP-LP) model is formulated where the power and energy capacities of CAES are regarded as parameters; the parameterized optimal value function (OVF) provides a graphical tool to describe the impact on operation cost of CAES configuration, which helps determine the planning strategy in a visual manner. The visualized results reveal not only the optimal solution, but also some useful information, like the sensitivity of operation cost to parameters. Case studies conducted on the IEEE 33-bus distribution system verifies the effectiveness of the proposed method.

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Optimal multi-time scale coordination method for electricity-heating integrated energy system scheduling

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IOP Conference Series: Earth and Environmental Science 2021年第1期645卷

作者： Zhuoran Lin Shouxiang Wang Shaomin Wang Aoyang Han Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin 300072 China Tianjin Key Laboratory of Power System Simulation and Control Tianjin University Tianjin 300072 China State Grid Qingdao Electric Supply Company Qingdao Shandong 266000 China

Considering that different energy subsystems have different control characteristics in equipment operations, an optimal multi-time scale coordination method for electricity-heating integrated system scheduling is proposed. It merges three optimal scheduling models based on three-time scales of day-ahead, rolling, and real-time. The coordinated optimization of electricity and heating energies with the same dispatch instruction is fulfilled in day-ahead scheduling. And all feasible scheduling instruction cycles are traversed in the rolling stage to improve the stability of system economic operation. The calculation examples show that the proposed overall strategy for multi-time scale scheduling can achieve multi-energy complementarity, and the optimization results have less deviation from the actual load.

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A novel [email protected] N-doped carbon microtubule network derived from biomass as a highly efficient 3D free-standing cathode for Li-CO 2 batteries

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Applied Catalysis B: Environmental 2019年 244卷 559-567页

作者： Huagen Liang Yongliang Zhang Fu Chen Shengyu Jing Shibin Yin Panagiotis Tsiakaras Low Carbon Energy Institute School of Materials Science and Engineering China University of Mining and Technology Xuzhou Jiangsu 221008 China Key Laboratory of Coal-Based CO2 Capture and Geological Storage China University of Mining and Technology Xuzhou Jiangsu 221008 China School of Information and Control Engineering China University of Mining and Technology Xuzhou Jiangsu 221008 China Laboratory of Alternative Energy Conversion Systems Department of Mechanical Engineering School of Engineering University of Thessaly Pedion Areos 38834 Greece Guangxi Key Laboratory for Electrochemical Energy Materials Collaborative Innovation Center of Renewable Energy Materials (CICREM) State Key Laboratory of Processing for Non-ferrous Metal and Featured Materials Guangxi University Nanning 530004 China Laboratory of Electrochemical Devices Based on Solid Oxide Proton Electrolytes Institute of High Temperature Electrochemistry RAS Yekaterinburg 620990 Russia Laboratory of Materials and Devices for Electrochemical Power Industry Ural Federal University 19 Mira Str. Yekaterinburg 620002 Russia

Rechargeable Li-CO 2 batteries, which utilize CO 2 into electrochemical energy storage systems, provide a promising strategy for alleviating the greenhouse effect and developing high energy density second batteries. However, problems such as poor battery performance and short cycle life still hinder the development of Li-CO 2 batteries. In this work, a novel three-dimensional free-standing [email protected] /PPC cathode is prepared by depositing NiFe-Prussian blue analogues on the surface of pomelo peels (PP) and subsequently calcining at high temperature. The products fully retained the three dimensional porous characteristic of biomass, conducing to mass transfer and diffusion. In addition, the high catalytic activity of [email protected] is carried forward. Combined with these two advantages, the Li-CO 2 battery with [email protected] /PPC cathode exhibits a superior discharge capacity of 6.8 mA h cm −2 and can sustain 109 cycles with a cutoff capacity of 0.25 mA h cm −2 at a current density of 0.05 mA cm −2 . Overall, this study provides a promising way for the fabrication of environmentally friendly and inexpensive cathodes to improve the performance of Li-CO 2 batteries.

关键词： Li-CO 2 battery Cathode 3D free-standing Prussian blue analogues Biomass carbon

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A comparison study of the application of data assimilation in the short-term prediction of radiation and precipitation

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IOP Conference Series: Earth and Environmental Science 2018年第1期136卷

作者： Huang Ding Fang Cui Zhijia Wang Hai Zhou Weidong Chen Renewable Energy Center China Electric Power Research Institute Nanjing China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China

Based on the meteorological observation of the DG plants in East China, the assimilation effect of the WRF in the summer of 2016 was studied. The results show that, in the case of using data assimilation, the model correctly predicted the occurrence time of precipitation, as well as the variation of the precipitation along with the time were well consistent with the observations, which gives more accurate downward shortwave radiation. The application of data assimilation techniques can provide reliable information to adapt to the high resolution of meso-scale meteorological model. Therefore, it provides the necessary technical support for the development of the distributed power generation.

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Assessment and Optimization of a Single Flash Geothermal System Recovered by a Trans-Critical Co2 Cycle Using Different Scenarios

SSRN

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SSRN 2023年

作者： Lamagna, Mario Aryanfar, Yashar Hoseinzadeh, Siamak Nastasi, Benedetto Garsia, Davide Astiaso Mohtaram, Soheil Sun, Hong Guang State Key Laboratory of Hydrology-Water Recourses and Hydraulic Engineering International Center for Simulation Software in Engineering and Sciences College of Mechanics and Materials Hohai University Jiangsu Nanjing210098 China Universidad Autónoma de Ciudad Juárez Mexico Department of Planning Design and Technology of Architecture Sapienza University of Rome Rome00196 Italy Department of Earth Sciences and Forecasting Research Center Prevention and Control of Geological Risks China Department of Earth Sciences and Forecasting Research Center Prevention and Control of Geological Risks China School of Energy and Power Engineering University of Shanghai for Science and Technology Shanghai200093 China

Globally, the use of renewable energy, particularly geothermal energy, is rising quickly. Geothermal cycles' low efficiency has repeatedly shown how crucial it is to recover heat lost during these cycles. This study suggests a combined power generation cycle replicating using the EES software environment that combines a single flash cycle with a trans-critical carbon dioxide cycle. The findings demonstrate that, in comparison to the BASIC single flash cycle, the design characteristics of the proposed system are greatly improved. The suggested strategy is then enhanced by employing the genetic algorithm, the Nelder-Mead Simplex method, and the direct algorithm. Separator pressure, steam turbine outlet pressure, and carbon dioxide turbine inlet pressure are three assumed variable parameters, and exergy efficiency is the target parameter. In the default operating mode, the system exergy efficiency is 32.46%, increasing to 39.21% using the genetic algorithm and 36.16% using the Nelder-Mead method and 38.82% using the direct algorithm. © 2023, The Authors. All rights reserved.

关键词： Genetic algorithms

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The optimal deployment model of energy storage systems considering large-scale wind farms connected

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IOP Conference Series: Earth and Environmental Science 2018年第1期146卷

作者： T Yan M X Zhang X F Song B Z Liu Y Huang State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems Haidian District Beijing 100192 China State Grid Xinjiang Electric Power Company Economic Research Institute Urumqi 830011 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 China

In order to solve the serious wind power curtailment problem caused by the rapid development of large-scale wind power, a multi-point layout energy storage system is proposed in the grid with the large proportion of wind power. Considering the energy storage costs, wind power curtailment costs and the penalty for loss of load, the energy storage planning model is established by introducing the problem of unit commitments with restrictions, which can be solved by using the mature commercial software CPLEX. Finally, taking the standard IEEE 24 node system as an example, different case studies are carried out. It is found that energy storage cost, wind farm location and access power have an important influence on energy storage layout and configuration capacity.

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Optimal Configuration of Large-Scale Storage Energy Access to Actual power Grid with High Wind power Proportion

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IOP Conference Series: Earth and Environmental Science 2019年第6期237卷

作者： T Yan M X Zhang X F Song C X Li H Sheng B Z Liu State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems Haidian District Beijing 100192 China State Grid Xinjiang Electric Power Company Economic Research Institute Urumqi 830011 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 China

In order to solve the problem of abandoned wind power in new energy high permeability grid, a large-scale energy storage device optimization configuration algorithm is proposed. At the same time, the energy storage cost, the abandonment cost and the loss of load cost are taken into consideration, and an optimization model is established considering various operational constraints and solved through the mature commercial software CPLEX. Finally, the 750kV system obtained by the actual grid equivalent is taken as an example to obtain an optimal configuration scheme for energy storage in the actual power grid.

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Improved active damping control strategy and closed-loop parameter design for LCL grid-connected inverter

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Journal of Physics: Conference Series 2021年第1期2030卷

作者： Qi Chen Hongbo Liu Qingxiang Hao Yikun Yin Yuanhong Li Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China Zaozhuang Power Supply Company State Grid Shandong Electric Power Company Zaozhuang 277000 China Changchun Institute of Technology ChangChun 130012 China

In this paper, an active damping control strategy based on capacitance and voltage feedback is proposed to solve the resonance problem of three-phase LCL inverter grid-connected system. To solve the problem that the parameters of active damping control strategy are complicated and need to be adjusted repeatedly, a parameter design method is proposed in this paper, which is simple to implement and does not need to be adjusted repeatedly. Finally, the effectiveness of the control strategy and parameter design method is verified by experiments.

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An Efficient Plasma Regeneration of As-Poisoned V2O5-Based Catalyst for Simultaneous Poison Removal and Activity Enhancement

SSRN

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SSRN 2024年

作者： Yin, Yong Li, Kezhi Jiang, Si Peng, Yue Zhu, Tianle Sun, Yifei Li, Junhua Li, Xiang School of Energy and Power Engineering Beihang University Beijing100191 China Institute of Engineering Technology Sinopec Catalyst Co. Ltd. Beijing101111 China State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China School of Materials Science and Engineering Beihang University Beijing100191 China School of Environmental Science and Engineering Hainan University Haikou570228 China Research Center for Advanced Energy and Carbon Neutrality Beihang University Beijing100191 China

Regeneration of highly toxic Arsenic (As) poisoned SCR catalysts is a huge challenge, because the strong interactions between As and the active component often leads to the loss or damage of active sites during the regeneration process. Herein, we develop a low-temperature plasma regeneration method that not only selectively removes As but also preserves the active components for commercial V2O5-WO3/TiO2 catalyst. More intriguingly, the catalyst after plasma regeneration achieves a significant catalytic performance enhancement, far surpassing the fresh V2O5-WO3/TiO2 catalyst. Under optimized regeneration conditions, the regenerated catalyst exhibits an As removal rate exceeding 99.5 ± 0.2% within 240 s, and a TOF value that was 11.1 and 2.4 times of the poisoned and fresh catalyst. Structural characterization reveals that the enhanced intrinsic activity of regenerated catalyst mainly stems from the As complete removal and subsequent transformation of monomeric VOx species into polymeric ones under H2 plasma environment. Multiple spectroscopic monitoring techniques unveil three stages in the plasma treatment process: (1) As reduction and removal, (2) surface polymerization of VOx species, and (3) vanadium embedded into TiO2 lattice. At low temperatures, the well regenerated catalysts with abundant polymeric VOx facilitate the nitrate-assisted dehydrogenation of adsorbed NH3 to key NH2 intermediates, thereby achieving superior NH3-SCR catalytic performance. This study not only provides a rapid regeneration strategy for poison selective separation from spent catalysts but also offers new insights into the precise control and design of active sites. © 2024, The Authors. All rights reserved.

关键词： Temperature

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Probabilistic Harmonic Analysis on Distributed Photovoltaic Integration Considering Typical Weather Scenarios

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IOP Conference Series: Materials Science and Engineering 2017年第1期199卷

作者： Che Bin Yu Ruoying Dang Dongsheng Wang Xiangyan State Grid Ningxia Electric Power Company Economic Research Institute Yinchuan 750002 Ningxia China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute. Beijing 100192 China

Distributed Generation (DG) integrating to the network would cause the harmonic pollution which would cause damages on electrical devices and affect the normal operation of power system. On the other hand, due to the randomness of the wind and solar irradiation, the output of DG is random, too, which leads to an uncertainty of the harmonic generated by the DG. Thus, probabilistic methods are needed to analyse the impacts of the DG integration. In this work we studied the harmonic voltage probabilistic distribution and the harmonic distortion in distributed network after the distributed photovoltaic (DPV) system integrating in different weather conditions, mainly the sunny day, cloudy day, rainy day and the snowy day. The probabilistic distribution function of the DPV output power in different typical weather conditions could be acquired via the parameter identification method of maximum likelihood estimation. The Monte-Carlo simulation method was adopted to calculate the probabilistic distribution of harmonic voltage content at different frequency orders as well as the harmonic distortion (THD) in typical weather conditions. The case study was based on the IEEE33 system and the results of harmonic voltage content probabilistic distribution as well as THD in typical weather conditions were compared.

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