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International Conference on Renewable power Generation

作者： Ran Quan Guoqing Li Guobin Jin Zhao Liu Qing Chen Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China State Grid Jiangsu Electric Power Co. Ltd. Nanjing China Jiangsu Electric Power Company Research Institute Nanjing China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

The DC distribution network can integrate the photovoltaic power generation system with high efficiency, but the random fluctuation of the photovoltaic output power is strong and there is a problem of PV consumption, which has a certain degree of impact on the economic optimization operation of the system. Therefore, the source-network-load-storage optimization interaction concept is introduced in the DC distribution network. Based on the in-depth analysis of the interactive load characteristics, the interaction load and energy storage technology can be fully utilized to the system to consumpt the photovoltaic. Combined with the features of DC distribution network structure, comprehensively consider the impact of the interactive load and energy storage system collaborative optimization on the system operating cost and power flow distribution, so that both the power generation side and the power side can participate in the resource optimization configuration of the grid operation. A multi-objective optimal scheduling model for photovoltaic DC distribution networks with operational cost, network loss and voltage deviation is established. The simulation example shows that: Collaborative optimization using interactive load and energy storage system can greatly reduce system operating cost, network loss and voltage deviation, effectively improve the level of PV consumption, and realize safe and reliable operation of DC distribution network.

关键词： DC distribution network Distributed photovoltaic Energy storage system Interactive load Optimal scheduling

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Evaluating Comprehensive Development Quality of a Regional power Grid by Using an Integrated Multi-criteria Decision-Making Methodology

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IOP Conference Series: Materials Science and Engineering 2019年第4期612卷

作者： Xiaodong Zhang Kaiming Qin Ruihua Si Xianjun Ge State Grid Henan Electric Power Company Zhengzhou 450018 China State Key Laboratory of Power System and Power Generation Equipment Control and Simulation Department of Electrical Engineering Tsinghua University Haidian Beijing 100084 China

Due to the economic situation changes and the continuous expansion of new energy power in China, a new evaluation methodology based on multi-criteria decision making (MCDM) should be proposed to promote the comprehensive development of the new regional power grid. Some criteria were selected to constitute an indicator system from the perspectives of the safety reliability, network structure and economic benefit. Then, an integrated evaluation model was proposed based on fuzzy AHP method and VIKOR method was applied to calculate a series of comprehensive evaluation indexes. A regional power grid was chosen as an empirical analysis to demonstrate the feasibility of the evaluation system.

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Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

arXiv

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arXiv 2018年

作者： Han, Te Liu, Chao Yang, Wenguang Jiang, Dongxiang Department of Energy and Power Engineering Tsinghua University Beijing100084 China State Key Lab of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing100084 China

In recent years, an increasing popularity of deep learning model for intelligent condition monitoring and diagnosis as well as prognostics used for mechanical systems and structures has been observed. In the previous studies, however, a major assumption accepted by default, is that the training and testing data are taking from same feature distribution. Unfortunately, this assumption is mostly invalid in real application, resulting in a certain lack of applicability for the traditional diagnosis approaches. Inspired by the idea of transfer learning that leverages the knowledge learnt from rich labeled data in source domain to facilitate diagnosing a new but similar target task, a new intelligent fault diagnosis framework, i.e., deep transfer network (DTN), which generalizes deep learning model to domain adaptation scenario, is proposed in this paper. By extending the marginal distribution adaptation (MDA) to joint distribution adaptation (JDA), the proposed framework can exploit the discrimination structures associated with the labeled data in source domain to adapt the conditional distribution of unlabeled target data, and thus guarantee a more accurate distribution matching. Extensive empirical evaluations on three fault datasets validate the applicability and practicability of DTN, while achieving many state-of-the-art transfer results in terms of diverse operating conditions, fault severities and fault types. Copyright © 2018, The Authors. All rights reserved.

关键词： Fault detection

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Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic (vol 11, 5172, 2020)

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NATURE COMMUNICATIONS 2020年第1期11卷 1-12页

作者： Liu, Zhu Ciais, Philippe Deng, Zhu Lei, Ruixue Davis, Steven J. Feng, Sha Zheng, Bo Cui, Duo Dou, Xinyu Zhu, Biqing Guo, Rui Ke, Piyu Sun, Taochun Lu, Chenxi He, Pan Wang, Yuan Yue, Xu Wang, Yilong Lei, Yadong Zhou, Hao Cai, Zhaonan Wu, Yuhui Guo, Runtao Han, Tingxuan Xue, Jinjun Boucher, Olivier Boucher, Eulalie Chevallier, Frederic Tanaka, Katsumasa Wei, Yiming Zhong, Haiwang Kang, Chongqing Zhang, Ning Chen, Bin Xi, Fengming Liu, Miaomiao Breon, Francois-Marie Lu, Yonglong Zhang, Qiang Guan, Dabo Gong, Peng Kammen, Daniel M. He, Kebin Schellnhuber, Hans Joachim Department of Earth System Science Tsinghua University Beijing China Laboratoire des Sciences du Climat et de l’Environnement LSCE CEA CNRS UVSQ Centre d’Etudes Orme de Merisiers Gif-sur-Yvette France Department of Meteorology and Atmospheric Science The Pennsylvania State University University Park USA Department of Earth System Science University of California Irvine Irvine USA Division of Geological and Planetary Sciences California Institute of Technology Pasadena USA Jet Propulsion Laboratory California Institute of Technology Pasadena USA Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment Technology School of Environmental Science and Engineering Nanjing University of Information Science & Technology Nanjing China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China Climate Change Research Center Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China Key Laboratory of Middle Atmosphere and Global Environment Observation Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China School of Environment Tsinghua University Beijing China School of Mathematical School Tsinghua University Beijing China Department of Mathematical Sciences Tsinghua University Beijing China Center of Hubei Cooperative Innovation for Emissions Trading System Wuhan China Faculty of Management and Economics Kunming University of Science and Technology Kunming China Economic Research Centre of Nagoya University Furo-cho Chikusa-ku Nagoya Japan Institut Pierre-Simon Laplace Sorbonne Université / CNRS Paris France Université Paris Dauphine Place du Maréchal de Lattre de Tassigny Paris France Center for Global Environmental Research National Institute for Environmental Studies Tsukuba Japan Center for Energy and Environmental Policy

A Correction to this paper has been published: https://***/10.1038/s41467-020-20254-5

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Ancillary service for frequency regulation based on multi-energy virtual power plant aggregating factory load

Ancillary service for frequency regulation based on multi-en...

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The 11th IET International Conference on Advances in power system control, Operation and Management (APSCOM 2018)

作者： Jiazhen Wang Xinwei Shen Yinliang Xu Qinglai Guo Hongbin Sun Yanbo Chen Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Insitute Tsinghua University Shenzhen China State Key Lab of Control and Simulation of Power System and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University

ISBN: (数字)9781839530043

With the increasing proportion of renewable energy generation into the power grid, more challenges are coming to the safe and stable operation of the power system. In order to keep the balance in energy market, system operator has to purchase much service in ancillary service market to guarantee the stable operation of the power transmission. Virtual power plant (VPP) has been extensively studied as a concept that aggregates multiple resource forms to serve the electricity market. Meanwhile, with the development of Energy Internet (EI) Error! Reference source not found., more attention has been focused on the optimization and operation of Integrated Energy system (IES), therefore, the introduction and exploration of Multi-energy Virtual power Plant (MVPP) provide possibilities for IES to participate in the Electricity Market and Ancillary Services Market. This paper extracts the flexible electric and heat load in the industrial production process, combining the CHP units and Electric Boiler (EB), which are main heat energy supply devices as well as Energy Storage system (ESS) as a MVPP to provide Frequency Regulation (FR) service to the Auxiliary Service Market. Model Predictive control (MPC) method is applied to control the industrial load, the operation of CHP, EB and ESS are gonging to follow the AGC signal issued by the FR market effectively while avoiding impacts on the production process of the factory. Finally, case study validates the effectiveness of the model.

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Anthropogenic and natural drivers of seesaw-like spatial patterns in precipitation mercury over western China

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Environmental Pollution 2022年 307卷

作者： Jie Huang Shichang Kang Long Wang Kaiyun Liu Kirpa Ram Mika Sillanpää Wenjun Tang Junming Guo Qianggong Zhang Ming Ma Lekhendra Tripathee Feiyue Wang State Key Laboratory of Tibetan Plateau Earth System Resources and Environment (TPESRE) Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing 100101 China University of the Chinese Academy of Sciences Beijing 100049 China State Key Laboratory of Cryospheric Science Northeast Institute of Eco-Environment and Resources Chinese Academy of Sciences Lanzhou 730000 China Institute of Atmospheric Environment Guangdong Provincial Academy of Environmental Science Guangzhou 510045 China State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China Institute of Environment and Sustainable Development Banaras Hindu University Varanasi 221005 India Department of Chemical Engineering School of Mining Metallurgy and Chemical Engineering University of Johannesburg Doornfontein 17011 South Africa Chemistry Department College of Science King Saud University Riyadh 11451 Saudi Arabia College of Resources and Environment Southwest University Chongqing 400715 China Center for Earth Observation Science And Department of Environment and Geography University of Manitoba Winnipeg Manitoba R3T 2N2 Canada

Investigation of mercury (Hg) from atmospheric precipitation is important for evaluating its ecological impacts and developing mitigation strategies. Western China, which includes the Tibetan Plateau and the Xinjiang Uyghur Autonomous Region, is one of the most remote region in the world and is understudied in regards to Hg precipitation. Here we report seesaw-like patterns in spatial variations of precipitation Hg in Western China, based on Hg speciation measurements at nine stations over this remote region. The Hg fraction analyzed included total Hg (Hg T ), particulate-bound Hg (Hg P ) and methylmercury (MeHg). Spatially, Hg T concentrations and percentage of Hg P in precipitation were markedly greater in the westerlies domain than those in the monsoon domain, but the higher wet Hg T flux, MeHg concentration and percentage of MeHg in precipitation mainly occurred in the monsoon domain. Similar spatial patterns of wet Hg deposition were also obtained from GEOS-Chem modeling. We show that the disparity of anthropogenic and natural drivers between the two domains are mainly responsible for this seesaw-like spatial patterns of precipitation Hg in Western China. Our study may provide a baseline for assessment of environmental Hg pollution in Western China, and subsequently assist in protecting this remote alpine ecosystem.

关键词： Precipitation mercury Seesaw-like patterns Anthropogenic and natural drivers Western China

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Lithium Metal Anodes: A Triple-Gradient Host for Long Cycling Lithium Metal Anodes at Ultrahigh Current Density (Small 30/2020)

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Small 2020年第30期16卷

作者： TrungHieu Le Qinghua Liang Ming Chen Ciqing Yang Zhihao Yu Jie Cheng Feiyu Kang Ying Yang State Key Laboratory of Control and Simulation of Power System and Generation Equipments Tsinghua University Beijing 100084 China Department of Chemical Engineering The University of Melbourne Parkville VIC 3010 Australia Zhejiang Yuyuan Energy Storage Technology Co. Ltd. Huzhou 313100 China Laboratory of Advanced Materials Department of Materials Science and Engineering Tsinghua University Beijing 100084 China

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Mechanism and characteristic analyses of subsynchronous oscillations caused by the interactions between direct-drive wind turbines and weak AC power systems

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The Journal of Engineering 2018年第13期2017卷 1651-1656页

作者： Wei Liu Xiaorong Xie Huakun Liu Jingbo He State Key Laboratory of Power System Department of Electrical Engineering Tsinghua University Beijing People's Republic of China National Power Dispatching and Control Center Beijing People's Republic of China

Recently, serious subsynchronous oscillation (SSO) events have occurred frequently due to the increasing interactions of direct-drive wind turbines with power systems. This emerging SSO would cause the action of the torsional vibration protection and trip the turbine generators. To ensure the safe and stable operation of the power system and to avoid unnecessary oscillations, the mechanism and characteristics of such SSOs are investigated. In this study, the Hami power system in Xinjiang Uygur Autonomous region is taken as an example to illustrate the factors of this kind of SSO. Firstly, a study model is established according to the actual situation of this power system. Then, the topological structure and main parameters of the model are investigated in detail. In addition the control approaches, which are included in the model, are also elaborated. Finally, simulation analyses based on power system computer aided design (PSCAD)/electromagnetic transients including DC (EMTDC) are carried out to investigate the impact of the various factors on the characteristics of SSO. The presented model and results offer a reference for future research on this emerging SSO.

关键词： power system stability wind turbines turbogenerators electrical safety subsynchronous oscillations direct-drive wind turbines weak AC power systems SSO events torsional vibration protection turbine generators power system operation stability power system operation safety Hami power system Xinjiang Uygur autonomous region topological structure simulation analysis PSCAD-EMTDC

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key factors analysis of cascading failure propagation in power grids

Key factors analysis of cascading failure propagation in pow...

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第37届中国控制会议

作者： Shaoqing Xi Xuemin Zhang Zhiyuan Ma Xiaohui Qin State Key Lab of Control and Simulation of Power Systems and Generation Equipment Dept.of Electrical Engineering Tsinghua University China Electric Power Research Institute State Key Laboratory of Power Grid Safety and Energy Conservation (CEPRI)

key equipment or vulnerable equipment always intensify the development of cascading failure, so it is of great importance but also challenging to find them. Recent researches present the ranking of vulnerable equipment according to complex network theory, while lacking the information of system risk. In this paper, we explore the relationship between system risk and vulnerable equipment as well as the relationship between equipment, we puts forward an approximate equation of failure propagation based on the correlation matrix, and draw the conclusion that the probability of initial failure and the max-eigenvalue of correlation matrix determine the propagation of cascading failure. Extensive simulation results show the positive correlation between blackout risk and max-eigenvalue of correlation matrix when initial failure probability is fixed. And top 10 vulnerable equipment, which has higher Page Rank value, also has bigger value among the eigenvector of the max-eigenvalue. Furthermore, this paper analyzes the role of vulnerable equipment identified by Page Rank and Electric Betweenness methods, using the cascading failure simulation. The results show the complementarity of the Page Rank and Electric Betweenness methods at different stages of failure.

关键词： Correlation matrix Cascading failure key equipment Vulnerable line

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Spatial energy-water nexus through economic trade network

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Energy Procedia 2018年 152卷 307-311页

作者： Saige Wang Delin Fang Zhenzhen Tian Jiake Fang Bin Chen Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 P.R. China Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning Guangxi 530004 China

Energy and water are basic supporting resources for economic development. In many regions, energy and water security has been great challenge for economic sustainable development, especially in developing countries like China. Water security and energy security are intimately linked due to their direct and indirect connections in economic activities. The indirect connections mean the interactions among elements due to the economic trade, which can be illustrated well through the embodied water and energy footprint through economic trade. The indirect connections play vital role in multi resource management. Comparing traditional nexus studies focusing on the system scales, this paper built the spatial nexus network to unpack energy and water spatial linkage and teleconnection based on the direct and indirect connections. Both physical resource trade and virtual resource trade are calculated to investigate the energy and water spatial relationship based on the control and dependence analyses. By exploring how energy-water nexus networks are formed and interacted each other, we aim to provide insights for energy-water spatial trade coordinated management.

关键词： Spatial reallocation input-output analysis China resource management

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