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4th Energy Conversion and Economics Annual Forum (ECE Forum 2024)

作者： Junhui Li Tianzhen Fan Jing Xu Wei Zheng Chupeng Xiao Chaoyang Xu Cuiping Li Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin People's Republic of China State Grid Electric Power Research Institute Co. State Grid Electric Power Research Institute Wuhan Efficiency Evaluation Co. Ltd. Hubei People's Republic of China State Grid Liaoning Electric Power Supply Co. State Grid Fushun Electric Power Supply Co. Ltd. Liaoning People's Republic of China

ISBN: (数字)9781837242924

To address the severe challenge of increasing fluctuations in supply and demand due to the expansion of new energy installations, this paper proposes a hierarchical optimization control strategy for electric fused magnesia loads participating in peak shav ing, guided by a price compensation mechanism. In the upper-layer system control, a price mechanism is designed to enhance the flexibility of electric fused magnesia loads in participating in peak shaving, considering the overall benefit of the system. In the lower-layer enterprise net profit optimization model, the product revenue, demand response income, operation and maintenance costs, and carbon emission costs of the electric fused magnesia enterprise are balanced to ensure the maximization of the enterprise’s net profit. Finally, numerical examples are used to verify the effectiveness of this method in improving the system's peak shaving capability.

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Adaptive Current Protection Technology for Distribution Network with Distributed power Sources Based on Local Information

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Mobile Information systems 2021年 2021卷

作者： Cui, Shijie Zeng, Peng Wang, Zhongfeng Zuo, Yue State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China State Grid Huludao Power Supply Company Huludao125000 China

Because the distributed power supply is connected to the distribution network, its structure has also changed the original traditional method. The original single power supply method was originally used. The network provided is a radial network and it is connected to the distributed power supply. Later, it became a structure with small- and medium-sized power supplies inside, and its network power supply became dual or multiple power supplies. Such a structural change affected the coordination of power distribution protection devices, which would impose current on the distribution network. Protection has a negative impact. This paper aims to study the adaptive current protection technology of distribution network with distributed power based on local information. On the basis of analyzing the characteristics of distributed power, the classification of distributed power, and the operation mode of distributed power, according to the access of IIDG, as well as different influences of relay protection of distribution network, an improved protection scheme with adaptive current quick-break protection as the main protection is proposed, so that different fault characteristics of the distribution network have different setting values, and then simulation experiments are carried out on this scheme. The experimental results show that the setting value of three-phase short-circuit fault proposed in this paper can well protect the protection range, which is larger than the traditional protection setting and self-adaptive setting. © 2021 Shijie Cui et al.

关键词： Electric power system protection

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Preventing Re-Emission of Malodorous Dimethylamine Via Tunable Nonradical Oxidation Catalyzed by Waste Mask-Derived Carbocatalyst

SSRN

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SSRN 2022年

作者： Dai, Qin Li, Zehui Zhong, Xiaolin Wang, Yuxian Qi, Juanjuan Wang, Yanan Fang, Zhimo Xing, Lei Li, Zhen Wang, Lidong MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and Engineering North China Electric Power University Beijing102206 China Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and Engineering North China Electric Power University Baoding071003 China State Key Laboratory for Mesoscopic Physics Frontiers Science Center for Nano-optoelectronics School of Physics Peking University Beijing100871 China State Key Laboratory of Heavy Oil Processing China University of Petroleum-Beijing Beijing102249 China

The re-emission of dimethylamine (DMA), as a famous malodorous volatile organic compound (VOC), exhausted from various industries receives emerging concerns. Herein, a metal-free carbocatalyst derived from waste masks was developed to inhibit DMA re-emission via activating peroxymonosulfate (PMS). The optimal inhibition efficiency was around 99%, 85-fold higher than that without any carbocatalysts and PMS. Such enhancement was ascribed to the rapid conversion of DMA ( kobs = 0.67 min-1, 4 min) into non-volatile and lower toxic substances (NO3− , NO2− and aliphatic acids) by electron transfer and singlet oxygenation. Experiments combined with correlation analysis and theoretical calculations unveiled that the intensified graphitization degree promoted the electron migration from DMA to the carbocatalyst/PMS* complex due to the enhanced conductivity and elevated redox potential, and PMS preferentially absorbed on the electron-rich C=O and deprotonated COO− groups rather than C-OH and COOH of carbocatalyst and then released SO5•− for the generation of 1O2 . Based on the theory, tuning the graphitization degree and amount of C=O and COO− groups via a simple annealing strategy triggered a shift from singlet oxygenation to predominantly direct electron transfer pathway, thus achieving optimal suppression efficiency of DMA re-emission. Finally, electrical energy per order (EE/O) analysis demonstrated our technology had a relatively low EE/O value (3.56 kWh/m3 ) and cost (0.47 $/m3 ). Considering the high efficiency and low cost of carbocatalytic PMS system endowed with clear mechanism and controllable properties, this work, therefore, pioneers an unparalleled approach for the industrial governance of effluvial VOCs treatment, and provides new insights into the tunable nonradical oxidation mechanism of carbocatalytic PMS activation. © 2022, The Authors. All rights reserved.

关键词： Oxidation

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Modeling Study of a Summertime Rainstorm Process Over North China Plain with a Meso-scale Meteorological Model

Modeling Study of a Summertime Rainstorm Process Over North ...

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2017 International Conference on Mathematics, Modelling and simulation Technologies and Applications（MMSTA 2017)

作者： Run-fang WANG Zong-peng SONG Tian-liang ZHAO Shuang-long JIN Ju HU Han DING Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological AdministrationNanjing University of Information Science and Technology Renewable Energy Research Center China Electric Power Research Institute(CEPRI) State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems

Using meso-scale meteorological model FDDA,this study presented a high-definition modeling of a rainstorm process during July 19-21,2016 in the North China *** meso-scale meteorological model captured the precipitation distribution of the observed rainstorm over North China Plain,showing that the FDDA model has strong ability to simulate and forecast *** modeling study also revealed the mechanism of rainfall formation with 3-dimensional structures of atmospheric *** subtropical high pressure peripheral warm and wet air flow and the coexistence of cold shear affect the development of convection in the rainfall *** to the vapor transport of low-level jet stream,the rainfall area has sufficient water vapor supply.A convergence of the south-easterly and northerly airstreams triggered a strong convection for the summer rainstorm in North China *** study provided us the valuable information for further development of a high-definition modeling of rainstorm process.

关键词： Rainstorm Modeling North China Plain Synoptic Pattern

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Impact of "Coal to Electricity" Policy on Air Quality During Heating Period Over Beijing−Tianjin−Hebei Region in China by Wrf-Chem Model

SSRN

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SSRN 2022年

作者： Zhang, Ruting Chen, Chuanmin Liu, Songtao Wu, Huacheng Zhou, Weiqing Li, Peng Jia, Wenbo Cao, Yue Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and Engineering North China Electric Power University Baoding071003 China Jibei Electric Power Research Institute State Grid Jibei Electric Power Co. Ltd. North China Electric Power Research Institute Company Limited Beijing100045 China The Key Laboratory of Resources and Environmental Systems Optimization

To improve the quality of the atmospheric environment, the Chinese government has issued guidance on alternative energy and formulated a series of control measures such as "coal to electricity" policy, but impacts of the implementation of "coal to electricity" policy on air quality cannot be accurately quantified. In this study, by conducting basic scenario and emission reduction scenario simulation experiments, we find that the daily PM2.5 decreased by 0.2−5.6 μg/m3 due to the policy while the decreases in PM2.5 concentrations varied from 1−6% in Beijing, Tianjin, Baoding, Shijiazhuang during the heating period. During the heavy pollution process on December 15, 2018, the hourly average concentration of PM2.5 decreased by 1.02−7.53 μg/m3 in most Beijing−Tianjin−Hebei (BTH) region. The implementation of the policy has different degrees of reduction effects on BTH region under various air quality index (AQI) levels, and the policy also affected the AQI level in BTH region. In the heating period, the number of days that AQI level changes in the BTH region accounts for up to 13%. For other pollutants, the average reduction of PM10, CO, SO2 and NO2 concentration over BTH region in December 2018 ranged from 0.42−11.47, 0.01−0.77, 0.39−24.18, 0.76−2.91 μg/m3, respectively. Even if the "coal to electricity" policy replaced part of the residential sector of emission sources, it plays an important role in improving air quality over BTH region. We suggest that policies should be formulated and improved according to the actual situation to further complete energy transformation such as coal substitution. © 2022, The Authors. All rights reserved.

关键词： Coal

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Practice of flow control and smart valves

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2022年第4期23卷 243-246页

作者： Jin-yuan QIAN Wei WU Min CHENG Jun-hui ZHANG Institute of Process Equipment College of Energy EngineeringZhejiang UniversityHangzhou 310027China School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China School of Mechanical and Vehicle Engineering Chongqing UniversityChongqing 400044China Institute of Mechatronics and Control Engineering Zhejiang UniversityHangzhou 310027China State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang UniversityHangzhou 310027China

Introduction The usual metaphors of“heart”and“throat”indi-cate the importance of pumps and valves in industrial systems including petroleum,chemical,metallurgy,aviation,and *** the continuous penetra-tion of the industrial internet,the miniaturization,digi-tization,multi-functionalization,and systemization of valves have become very important(Si et al.,2020;Chang et al.,2021;Pang et al.,2021;Bonilla et al.,2022;Yuan et al.,2022;Zhao et al.,2022).

关键词： smart internet flow

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Fast control Strategy of Grid-forming Inverter Based on power Feedforward

Fast Control Strategy of Grid-forming Inverter Based on Powe...

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第42届中国控制会议

作者： Sheng Zhang Zhijian Fang Qine Liu Muchao Xiang Dingbang Huang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education State Grid Hubei Electric Power Co. LtdXiangyang Power Supply Company Electric Power Scientific Research Institute of State Grid Hubei Electric Power Co. Ltd

Grid-forming inverter is widely used in grid-connected systems of distributed generation because of its frequency and voltage support capacity and good stability in microgrid,but its large inertia will affect the dynamic response speed of grid-forming *** order to solve this problem,this paper introduces the loop that affects the dynamic response of grid-forming inverter,and carries out small signal modeling for active loop,analyzes the dynamic performance indicators and determinants of typical second-order ***,a method of adding power feedforward coefficient to the forward channel of the power loop is designed,and the response speed of the system with or without feedforward coefficient under the unit step response is ***,the simulation results show that adding the power feedforward coefficient can improve the response speed of the grid-forming inverter during startup and power switching,then achieves the effect of fast control.

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Different Recombination in PID-affected Solar Modules from the Field

Different Recombination in PID-affected Solar Modules from t...

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2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC)

作者： Xiaoli Cheng Chuanke Chen He Wang Hong Yang Pan Zhao Mingchang Ding Shuangqing Zhang MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter School of Science Xi'an Jiaotong University Xi'an People's Republic of China SPIC Xi'an Solar Power Co. Ltd. Xi'an People's Republic of China State Key Laboratory of Operation and Control of Renewable Energy Storage Systems China Electric Power Research Institute Beijing China

In this paper, some PID-affected solar modules dismounted from power plant were studied. And the obtained I-V curves of three substrings which were measured by solar simulator showed that the degradation of main electrical parameters (V oc , I sc and P max ) were different. By analyzing the double-diode equivalent model of solar cell, it is further found that depletion region recombination current I 02 and quality factor n 2 increased, which can be attributed to the destruction of depletion region caused by PID. And then this result is proved by electroluminescence images and thermography images of three substrings.

关键词： Photovoltaic cells Degradation Photovoltaic systems Silicon Mathematical model

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Short-Term Wind power Forecasting Based on Spatiotemporal Correlations

Short-Term Wind Power Forecasting Based on Spatiotemporal Co...

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2018 International Conference on Mechanical,Electrical,Electronic Engineering & Science(MEEES 2018)

作者： Jinli Dou Chun Liu Bo Wang State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute

ISBN: (纸本)9781510868755

Wind power forecasting is of great significance for promoting the new energy resources accommodation and the economic efficiency, security and stability of power grid operation. The traditional wind power forecasting model has monotonous elements for input and demonstrates a lack of spatiotemporal correlation between elements. Therefore, a deep neural network model considering space-time correlation is proposed. Firstly, a multi-dimensional space-time data input modeling method is proposed based on meshed numerical weather forecasting. Then, a variety of deep neural network models for wind power prediction are established. Multi-layer CNN(Convolutional Neural Networks) are utilized for feature extraction, meanwhile LSTM(Long Short-Term Memory) networks are used for pattern memory. Finally, the prediction of single station and regional wind power is carried out respectively, which proves the effectiveness and feasibility of the method. The results show that, compared with the traditional single-layer neural network, the deep neural network in this paper can effectively mine the spatiotemporal correlation between data and improve the prediction accuracy of single-station wind power forecasting.

关键词： Short-Term wind power forecasting Deep Neural Network Convolutional Neural Network spatiotemporal correlations

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Research on Distributed Intelligent Protection Strategy of distribution network based on Reinforcement Learning

Research on Distributed Intelligent Protection Strategy of d...

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Information Technology,Big Data and Artificial Intelligence (ICIBA), International Conference on IEEE International Conference on

作者： Shijie Cui Peng Zeng Ende Hu State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China State Grid Shaoxing Power Supply Company Shaoxing China

ISBN: (纸本)9781665428781

In the context of building a new power system with new energy as the main part, the operation mode of distribution network is more complex, and the traditional distribution network protection strategy can hardly meet the demand, so this paper proposes a distributed intelligent protection strategy for distribution network based on reinforcement learning. This paper analyzes the impact of new energy resources access on distribution network relay protection, and presents an intelligent protection algorithm model based on deep reinforcement learning. The structure of intelligent protection device is designed, and the distribution network distributed protection scheme based on intelligent protection device is proposed. Finally, the algorithm training process is given, and the experimental environment is built.

关键词： Training Uncertainty power supplies Protective relaying Distribution networks Reinforcement learning power system stability

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