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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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Rotation Speed Recovery Strategy Based On Particle Swarm Optimization for Variable power Curve Optimization

Rotation Speed Recovery Strategy Based On Particle Swarm Opt...

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2018年先进电子材料、计算机与材料工程国际学术会议（AEMCME 2018）

作者： Rui Liu Peng Song Xiaosheng Wang Yang Cui Zhongwei Lin State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer EngineeringNorth China Electric Power University State Grid Jibei Electric Power Research Institute North China Electric Power Research Institute Co.Ltd. Grid-connected Operation Technology for Wind-Solar Storage Hybrid System State Grid Corporation Key Laboratory

With the increase of wind power capacity incorporated into the grid, the permeability of wind power increases continuously, which leads to the reduction of the equivalent inertia of the system. Rotor speed recovery will cause the secondary frequency dips when DFIG uses rotor inertial control to participate in system frequency modulation. In order to optimize the secondary frequency dips, this paper uses PSO(Particle Swarm Optimization) to optimize the Parameters of Variable power Functions on the basis of the previously proposed variable power curve strategy. This article simulates this strategy through setting up a system by Simulink. Simulate the results of optimization, compared with the traditional recovery strategy, validity of the proposed strategy is demonstrated through simulation and analysis.

关键词： Swarm power Rotation Speed Recovery Strategy Based On Particle Swarm Optimization for Variable power Curve Optimization

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The design and simulation of the 3MW direct drive wind turbine's controller to decrease vibration of the tower 32

The design and simulation of the 3MW direct drive wind turbi...

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32nd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2017

作者： Zhenghou, Yang Guoqiang, Zhang Yuan, Wen Ying, Deng Beijing Huaneng Xinrui Control Technology Co. Ltd. Beijing102209 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Renewable Energy North China Electric Power University Beijing102206 China

ISBN: (纸本)9781538629017

Because the environment that the wind turbine runs in is severe, the generating efficiency is low and the vibration of tower is very obvious. The consequence not only causes economic loss but also lead to the reduction of the wind turbine's lifetime. Basing on the traditional PI controlling system, this passage mainly studies to decrease the vibration of the tower by adjusting the controlling PI parameters and adding the tower damper. Establishing the wind turbine's linear, constant, SISO model, selecting the controlling parameters by MATLAB simulation at different isolate wind speed to achieve stable and fast controlling. At different isolate wind speeds, adding the tower damper to decrease the acceleration of tower. At last making global simulation with Bladed to verify and compare the traditional PI strategy with the new strategy. The result of the simulation with Bladed shows the strategy decreases the vibration of the tower and protect the wind turbine. © 2017 IEEE.

关键词： Towers

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energy Optimization Dispatching of Microgrid in The Stand-alone Mode

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Journal of Physics: Conference Series 2019年第1期1304卷

作者： Li Sun Shujian Zhao Chenglian Ma Jing Jiang Yuanzhu Meng Tianliang Yao Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin Jilin 132012 China Power Research Institute of State Grid Jilin Electric Power Co. Ltd. Changchun Jilin 130021 China Jilin Power Supply Company State Grid Jilin Electric Power Co. Ltd. Jilin Jilin 132001 China Gansu Electric Power Design Institute Limited Company of China Energy Construction Group Lanzhou 730050 China

A microgrid system in the stand-alone mode with photovoltaic, wind turbine, microturbine, fuel cell and energy storage unit is studied. Mathematical models of different distributed power supply and energy storage devices are established. The load demand of the system, the price of purchasing and selling electricity when interacting with the power grid and other constraints are considered. An economic model for optimizing stand-alone operation cost is established. According to the characteristics of the model, an improved genetic algorithm is selected to optimize the nonlinear system. The algorithm has better stability in solving the optimization problem of large state space dimension. The case study show that the proposed economic model is reasonable and the algorithm is effective.

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Economic Optimal Dispatch of Grid-connected Microgrid Based on Improved Genetic Algorithm

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Journal of Physics: Conference Series 2019年第1期1304卷

作者： Li Sun Shujian Zhao Chenglian Ma Naixin Chen Tianliang Yao Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin Jilin 132012 China Power Research Institute of State Grid Jilin Electric Power Co. Ltd. Changchun Jilin 130021 China Changchun Power Supply Company State Grid Jilin Electric Power Co. Ltd. Changchun Jilin 130000 China Gansu Electric Power Design Institute Limited Company of China Energy Construction Group Lanzhou 730050 China

Nowadays, the demand for energy is expanding, the fossil resources are on the verge of exhaustion, and the ecological environment is getting worse and worse. In this form, this paper studies the economic optimal dispatch of microgrid under the background of energy saving and emission reduction. Firstly, the mathematical model of microgrid composed of distributed power, energy storage devices and loads is established. Secondly, under the background of energy saving and emission reduction, the objective function of multi-objective optimal operation of microgrid is established considering both economic and environmental aspects. Finally, the improved Genetic Algorithm is used to solve the objective function. The results of optimization can reduce microgrid system generation cost.

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Preventive control for combined heat and power system: A day-ahead security constrained economic dispatch model

Preventive control for combined heat and power system: A day...

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

作者： Qunli Lin Xinwei Shen Yinliang Xu Yong Sun Zhenyuan Li Qinglai Guo Hongbin Sun Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Institute Tsinghua University Shenzhen China Jilin Power Grid Company State Grid Corp. of China Jilin China State Key Lab of Control and Simulation of Power System and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (数字)9781839530043

Integrated energy system (IES), which plays a vital role in the development of energy Internet (EI), can improve the efficiency of energy utilization and integration of renewable energy. However, the coupling between multiple energy systems will bring new challenges to the security control of the IES, such as combined heat and power (CHP) system. For IES, the preventive control is the first line of defense to ensure that the system can keep stable operation when contingencies such as the transmission outage or generator outage happen. This paper proposes a preventive control approach for CHP system, in which a day-ahead security constrained economic dispatch (SCED) model of CHP system considering the coupling of heat and electric is formulated. The model aims to minimize the cost of the whole system, while the preventive control of the system can be achieved with the constraints considering the normal states and contingencies states. Case studies based on the IEEE 9-bus system with CHPs are presented to illustrate the approach. The case result shows that the combined electric and heat optimal dispatch is more economical than when two systems are independently optimized and operated. And the proposed preventive control approach of the CHP system can satisfy both the electric and heat demand, and system security is ensured when the N-1 contingencies happened.

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Wind-CHP generation aggregation with storage capability of district heating network

Wind-CHP generation aggregation with storage capability of d...

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2017 IEEE Conference on energy Internet and energy system Integration, EI2 2017

作者： Yu, Jing Shen, Xinwei Sheng, Tongtian Sun, Hongbin Xiong, Wen Tang, Lei Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Institute 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 Guangzhou Power Grid Company Guangzhou China Beijing Qingda Gaoke System Control Company Beijing China

ISBN: (纸本)9781538614273

The strong coupling of electricity and heat of combined heat and power (CHP) unit in cold season results in the loss of flexibility, which may cause massive wind power curtailment if they are in the same system. This issue could be handled with the thermal storage capability of a district heating network (DHN) that could supply flexibility for CHP to decouple the strong coupling of heat and electric power supplies. In this paper, a wind-CHP generation aggregation(WCGA) model is formulated, which motivates CHP to increase wind power integration by increasing total profit of the system, while considering the additional flexibility supplied by DHN. In WCGA model, DHN is formulated as an energy-storage-like (ESL) model that considers the storage capability of DHN based on dynamic characteristics of temperature and time delay effect of DHN. The potential benefits of the proposed model have been demonstrated by case study in terms of enhancing, wind power integration as well as total profit. © 2017 IEEE.

关键词： District heating

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Economic analysis of multi-energy virtual power plant considering market information

Economic analysis of multi-energy virtual power plant consid...

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2017 IEEE Conference on energy Internet and energy system Integration, EI2 2017

作者： Wang, Jiazhen Shen, Xinwei Guo, Qinglai Xiong, Wen Tang, Lei 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 Guangzhou Power Grid Company Guangzhou Lei Tang Beijing Qingda Gaoke System Control Company Beijing China Beijing Qingda Gaoke System Control Company Beijing China

ISBN: (纸本)9781538614273

Integrated energy system is beneficial for promoting the distributed renewable energy (DRE) consumption, thereby alleviating environmental pollution and energy shortage. In this paper, we propose a virtual power plant (VPP) structure considering the feature of heat and electric power system integration, which is defined as Multi-energy Virtual power Plant (MVPP). MVPP is allowed to participate in the electricity market;and price information from bulk power market can affect heating system through the coupling devices, thus optimizing the co-operation of electric and heat system. MVPP is also involved in the auxiliary service market, a penalty term is designed for the Utility to charge MVPP service fee so that power fluctuation on transmission line can be reduced. The case study proved the effectiveness of the penalty term and MVPP is able to provide reserve service for Utility in peak load hours by multi-energy flow coupling under the regulation of feed-in tariff. © 2017 IEEE.

关键词： Virtual power Plants

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Author Correction: Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic

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Nature communications 2020年第1期11卷 6292页

作者： Zhu Liu Philippe Ciais Zhu Deng Ruixue Lei Steven J Davis Sha Feng Bo Zheng Duo Cui Xinyu Dou Biqing Zhu Rui Guo Piyu Ke Taochun Sun Chenxi Lu Pan He Yuan Wang Xu Yue Yilong Wang Yadong Lei Hao Zhou Zhaonan Cai Yuhui Wu Runtao Guo Tingxuan Han Jinjun Xue Olivier Boucher Eulalie Boucher Frédéric Chevallier Katsumasa Tanaka Yiming Wei Haiwang Zhong Chongqing Kang Ning Zhang Bin Chen Fengming Xi Miaomiao Liu François-Marie Bréon Yonglong Lu Qiang Zhang Dabo Guan Peng Gong Daniel M Kammen Kebin He Hans Joachim Schellnhuber Department of Earth System Science Tsinghua University Beijing China. zhuliu@***. 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 Earth System Science Tsinghua University Beijing China. Department of Meteorology and Atmospheric Science The Pennsylvania State University University Park PA USA. Department of Earth System Science University of California Irvine 3232Croul Hall Irvine CA USA. Division of Geological and Planetary Sciences California Institute of Technology Pasadena CA USA. Jet Propulsion Laboratory California Institute of Technology Pasadena CA 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 and 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 13 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 75016 Paris France.

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

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Rotation Speed Recovery Strategy Based On Particle Swarm Optimization for Variable power Curve Optimization

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IOP Conference Series: Materials Science and Engineering 2018年第3期439卷

作者： Rui Liu Peng Song Xiaosheng Wang Yang Cui Zhongwei Lin State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing 102206 PR China phone: *** State Grid Jibei Electric Power Research Institute North China Electric Power Research Institute Co. Ltd. Beijing 100045 China Grid-connected Operation Technology for Wind-Solar Storage Hybrid System State Grid Corporation Key Laboratory Beijng 100045 China

With the increase of wind power capacity incorporated into the grid, the permeability of wind power increases continuously, which leads to the reduction of the equivalent inertia of the system. Rotor speed recovery will cause the secondary frequency dips when DFIG uses rotor inertial control to participate in system frequency modulation. In order to optimize the secondary frequency dips, this paper uses PSO (Particle Swarm Optimization) to optimize the Parameters of Variable power Functions on the basis of the previously proposed variable power curve strategy. This article simulates this strategy through setting up a system by Simulink. Simulate the results of optimization, compared with the traditional recovery strategy, validity of the proposed strategy is demonstrated through simulation and analysis.

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