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2nd IEEE International Electrical and Energy Conference, CIEEC 2018

作者： Cheng, Zixia Shi, Jinxing Zhang, Ling Zhou, Yuanxiang Lu, Zekai Guo, Shaowei School of Electrical Engineering Zhengzhou University Zhengzhou450001 China State Key Lab of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing100084 China School of Electrical Engineering Xinjiang University Urumqi830047 China Electric Power Research Institute State Grid Jibei Electric Power Company Beijing100045 China

ISBN: (纸本)9781538653913

In order to study the effect of AC aging on space charge characteristics of low-density polyethylene (LDPE) films, an AC electric field of 50 kV/mm (peak value) was adopted for the accelerated aging test and space charge measurements of AC aged LDPE films were carried out subsequently. The results show that no significant space charge accumulation in the LDPE samples aged under a 50 kV/mm AC electric field. It can be seen that a significant positive space charge accumulation occurs inside the sample, when DC electric fields were applied to the AC aged LDPE samples. The long-term AC aging also causes more and deeper cracks on the surface of LDPE samples. Moreover, AC aging promotes the oxidation reaction of LDPE. The longer the aging time, the higher the degree of oxidation. On this basis, the probable relationship between space charge characteristics and material physicochemical properties of LDPE during AC electrical aging is clarified. © 2018 IEEE.

关键词： Electric space charge

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Ancillary service for frequency regulation based on multi-energy virtual power plant aggregating factory load 11

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

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11th IET International Conference on Advances in power System control, Operation and Management, APSCOM 2018

作者： Wang, Jiazhen Shen, Xinwei Xu, Yinliang Guo, Qinglai Sun, Hongbin Chen, Yanbo 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 China

ISBN: (纸本)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. © 2018 Institution of Engineering and Technology. All rights reserved.

关键词： Model predictive control

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Operation Strategy Selection of a District Multi-Energy System Based on Environmental Impact

Operation Strategy Selection of a District Multi-Energy Syst...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Huichao Kong Yu Luo Xuejin Huang Lin Cheng Liting Tian Ning Qi Dongguan Power Supply Bureau Guangdong Power Grid Co. Ltd. Dongguan China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China

District multi-energy systems are constructed to reduce environmental impact of energy consumption. This paper introduces a three-layer structure for district energy systems. And two representative operation strategies are proposed focusing on the energy services of the system. The operation strategies are applied to a district which consists of electricity distribution network, natural gas pipe network and heat pipe network. The energy efficiency and CO 2 emission are calculated under different scenarios. The results show that the system operation strategy has a significant impact on the environmental indices. It is suggested to choose the scheme with a priority of electric requirement for the investigated system.

关键词： Resistance heating Thermal loading power systems Energy efficiency Production Buildings Heat pumps

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Coordinated analysis of urban integrated energy-traffic networks based on real-world GPS data

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Energy Procedia 2018年 152卷 490-495页

作者： Tianyu Yang Qinglai Guo Chenhui Lin Luo Xu Hongbin Sun Department of Electrical Engineering Tsinghua University 100084 Beijing China State Key Lab of Control and Simulation of Power Systems and Generation Equipments 100084 Beijing China

The rapid growing scale of electric vehicles (EV) has brought benefit and impact on urban traffic network and the electric power system simultaneously by integrating these two systems together into a Cyber-Physical-Social System (CPSS) in energy. This paper presents a coordinated analysis method of the urban integrated energy-traffic network based on real-world GPS data from vehicles in Shenyang and Shenzhen, china. Case study shows that the integrated system will be affecting each other through the coupling interactions of EVs.

关键词： Electric vehicles (EV) Urban traffic network Cyber-Physical-Social System

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Demand Side Data Generating Based on Conditional Generative Adversarial Networks

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Energy Procedia 2018年 152卷 1188-1193页

作者： Jian Lan Qinglai Guo Hongbin Sun Department of Electrical Engineering Tsinghua University 100084 Beijing China State Key Lab of Control and Simulation of Power Systems and Generation Equipments 100084 Beijing China

With the technological advancement in the fields of advanced metering infrastructure (AMI), a massive amount of customers’ electricity consumption data is collected. Meanwhile, the energy providers need to make informed decisions based on power consumption strategy of demand side to reduce overall operational cost. So how to generate demand side load data based on historical energy consumption data or customer attribute is a pressing issue. In this paper, we propose a data-driven approach to generate new power consumption data based on intrinsic property of load pattern learnt from demand side using conditional generative adversarial networks (cGANs), which is based on two interconnected deep neural networks known as generator and discriminator. By using several representative labels from the responded surveys and the load data from demand side to train the models, the generator is able to generate realistic power consumption data by given labels which can be used for energy management and scheduling, the discriminator is capable of detecting abnormal power consumption and system error from the smart meter data.

关键词： conditional GANs generative models demand side smart meter data analysis energy management

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Optimal capacity allocation of advanced adiabatic compressed air energy storage systems considering energy arbitrage

Optimal capacity allocation of advanced adiabatic compressed...

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2019 Tsinghua International Doctoral Forum

作者： Zhiao Li Laijun Chen Dangwu Liu Tianwen Zheng Bo Gao Shengwei Mei 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 Anhui Electric Power CO. LTD. Hefei 230022 China Sichuan Energy Internet Research Institute Tsinghua University Chengdu 610213 China State Grid Anhui Electric Power Research Institute Hefei 230601 China

ISBN: (纸本)9781839533907

As the energy scarcity and environment problems become more and more severe, promoting renewable energy has become an important task and thus energy storage draws increasing attention for integrating renewable energy. Among many available options, advanced adiabatic compressed air energy storage (AA-CAES) are considered mature and affordable options for gridscale applications. However, the relatively high capital cost hinders the development of AA-CAES system. As a result, the cost-benefit analysis of AA-CAES application is studied in this paper. The thermodynamic characteristics of AA-CAES system are carefully studied and modeled. An optimal configuration method of AA-CAES capacity considering energy arbitrage is proposed and the optimal capacity of each component of AA-CAES is demonstrated. simulation results indicate that the application of AA-CAES in arbitrage market is profitable but the payback period is long. The profit estimations are more realistic compare to conventional battery model. Profitable cost range of AA-CAES is found through sensibility analysis. Augmenting electricity price to improve economic of AA-CAES is discussed at the end.

关键词： Compressed energy storage capacity allocation energy market energy market compressed air energy storage Adiabatic Renewable energy

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arXiv

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arXiv 2020年

作者： Li, Jiashuo Zhou, Sili Wei, Wendong Qi, Jianchuan Li, Yumeng Chen, Bin Zhang, Ning Guan, Dabo Qian, Haoqi Wu, Xiaohui Miao, Jiawen Chen, Long Liang, Sai Feng, Kuishuang Institute of Blue and Green Development Shandong University Weihai264209 State Key Laboratory of Coal Combustion School of Energy and Power Engineering Huazhong University of Science and Technology Wuhan430074 China School of International and Public Affairs Shanghai Jiao Tong University Shanghai200030 China State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Beijing Normal University Beijing100875 China Laboratory of Anthropogenic Systems Ecology College of Engineering Peking University Beijing100871 China Department of Earth System Science Tsinghua University Beijing100871 China Institute for Global Public Policy Fudan University Shanghai200433 China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China Key Laboratory of Geographic Information Science Ministry of Education School of Geographic Sciences East China Normal University Shanghai200241 China

china has implemented retrofitting measures in coal-fired power plants (CFPPs) to reduce air pollution through small unit shutdown (SUS), the installation of air pollution control devices (APCDs) and power generation efficiency (PGE) improvement. The reductions in highly toxic Hg emissions and their related health impacts by these measures have not been well studied. To refine mitigation options, we evaluated the health benefits of reduced Hg emissions via retrofitting measures during china's 12th Five-Year Plan by combining plant-level Hg emission inventories with the china Hg Risk Source-Tracking Model. We found that the measures reduced Hg emissions by 23.5 tons (approximately 1/5 of that from CFPPs in 2010), preventing 0.0021 points of per-foetus intelligence quotient (IQ) decrements and 114 deaths from fatal heart attacks. These benefits were dominated by CFPP shutdowns and APCD installations. Provincial health benefits were largely attributable to Hg reductions in other regions. We also demonstrated the necessity of considering human health impacts, rather than just Hg emission reductions, in selecting Hg control devices. This study also suggests that Hg control strategies should consider various factors, such as CFPP locations, population densities and trade-offs between reductions of total Hg (THg) and Hg2+. Copyright © 2020, The Authors. All rights reserved.

关键词： Fossil fuel power plants

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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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On engineering game theory with its application in power systems

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control Theory and Technology 2017年第1期15卷 1-12页

作者： Shengwei MEI Wei WEI Feng LIU Department of Electrical Engineering and Applied Electronics Technology Tsinghua Universily Beijing 100084 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing 100084 China

Due to its capability of solving decision-making problems involving multiple entities and objectives, as well as complex action sequences, game theory has been a basic mathematical tool of economists, politicians, and sociologists for decades. It helps them understand how strategic interactions impact rational decisions of individual players in competitive and uncertain environment, if each player aims to get the best payoff. This situation is ubiquitous in engineering practices. This paper streamlines the foundations of engineering game theory, which uses concepts, theories and methodologies to guide the resolution of engineering design, operation, and control problems in a more canonical and systematic way. An overview of its application in smart grid technologies and power systems related topics is presented, and intriguing research directions are also envisioned.

关键词： Decision making engineering game theory power system smart grid technology

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Internet information applied in the energy internet planning: A review and outlook

Internet information applied in the energy internet planning...

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2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017

作者： Cheng, Lin Ji, Xinchi Zhang, Fang Liang, Caihao He, Hailei State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China China Electric Power Research Institute Beijing China

ISBN: (纸本)9781538614273

With the development of energy industry and infor-mation technologies, the concept of energy Internet is proposed to prevent the energy crisis and reduce the environmental pollution. However, the planning of energy Internet is facing great challenges that there are large uncertainties of boundary conditions in the planning. The collection of Internet information can help solve the problem. This paper introduces the method of collecting objective data from the Internet, such as renewable energy sources data, climate data, and economic data, and the usage of the data for energy Internet planning. The method of collecting and processing fuzzy information from the Internet are introduced as well. The events related to the energy Internet planning can be perceived and be applied to the multi-scenario planning of energy Internet. Besides, the difficulties and outlooks of the usages are given. © 2017 IEEE.

关键词： Internet of Energy

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