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2020 International Conference on smart grid and Energy Engineering, SGEE 2020

作者： Lin, Zhuoran Wang, Shouxiang Wang, Shaomin Han, Aoyang Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin300072 China Tianjin Key Laboratory of Power System Simulation and Control Tianjin University Tianjin300072 China State Grid Qingdao Electric Supply Company Qingdao Shandong266000 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. © Published under licence by IOP Publishing Ltd.

关键词： Scheduling

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An overview for monitoring and prediction of pathogenic microorganisms in the atmosphere

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Fundamental Research 2024年第3期4卷 430-441页

作者： Jianping Huang Danfeng Wang Yongguan Zhu Zifeng Yang Maosheng Yao Xiaoming Shi Taicheng An Qiang Zhang Cunrui Huang Xinhui Bi Jiang Li Zifa Wang Yongqin Liu Guibing Zhu Siyu Chen Jian Hang Xinghua Qiu Weiwei Deng Huaiyu Tian Tengfei Zhang Tianmu Chen Sijin Liu Xinbo Lian Bin Chen Beidou Zhang Yingjie Zhao Rui Wang Han Li Collaborative Innovation Center for Western Ecological Safety College of Atmospheric SciencesLanzhou UniversityLanzhou 730000China Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China National Clinical Research Center for Respiratory Disease Guangzhou Institute of Respiratory HealthFirst Affiliated Hospital of Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease(Guangzhou Medical University)Guangzhou 510230China College of Environmental Sciences and Engineering Peking UniversityBeijing 100871China China CDC Key Laboratory of Environment and Population Health National Institute of Environmental HealthChinese Center for Disease Control and PreventionBeijing 100021China Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health School of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua UniversityBeijing 100084China Vanke School of Public Health Tsinghua UniversityBeijing 100084China State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization Guangzhou Institute of GeochemistryChinese Academy of SciencesGuangzhou 510640China National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Center for Pan-third Pole Environment Lanzhou UniversityLanzhou 730000China College of Atmospheric Sciences Lanzhou UniversityLanzhou 730000China School of Atmospheric Sciences Sun Yat-sen Universityand Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)Zhuhai 510640

Corona virus disease 2019(COVID-19)has exerted a profound adverse impact on human *** have demonstrated that aerosol transmission is one of the major transmission routes of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Pathogenic microorganisms such as SARS-CoV-2 can survive in the air and cause widespread infection among *** monitoring of pathogenic microorganism transmission in the atmosphere and accurate epidemic prediction are the frontier guarantee for preventing large-scale epidemic *** of pathogenic microorganisms in the air,especially in densely populated areas,may raise the possibility to detect viruses before people are widely infected and contain the epidemic at an earlier *** multi-scale coupled accurate epidemic prediction system can provide support for governments to analyze the epidemic situation,allocate health resources,and formulate epidemic response *** review first elaborates on the effects of the atmospheric environment on pathogenic microorganism transmission,which lays a theoretical foundation for the monitoring and prediction of epidemic ***,the monitoring technique development and the necessity of monitoring pathogenic microorganisms in the atmosphere are summarized and ***,this review introduces the major epidemic prediction methods and highlights the significance to realize a multi-scale coupled epidemic prediction system by strengthening the multidisciplinary cooperation of epidemiology,atmospheric sciences,environmental sciences,sociology,demography,*** summarizing the achievements and challenges in monitoring and prediction of pathogenic microorganism transmission in the atmosphere,this review proposes suggestions for epidemic response,namely,the establishment of an integrated monitoring and prediction platform for pathogenic microorganism transmission in the atmosphere.

关键词： Aerosol transmission Epidemic monitoring methods Epidemic prediction modelsEpidemic response Multidisciplinary cooperation

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Review of cyber physical system and cyber attack modeling 12

Review of cyber physical system and cyber attack modeling

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12th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2020

作者： Fan, Haofei Ni, Ming Zhao, Lili Li, Manli State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nari Technology Co. Ltd Nanjing China

ISBN: (纸本)9781728157481

Cyber Physics Systems consists of physical systems and information systems. Modern power systems are increasingly dependent on information systems, experts and scholars are paying more and more attention to cyber attacks on CPS. This paper first introduces the existing research on cyber physical power system. Then this paper reviews the current status of existing cyber attacks. Finally, the modeling method for CPS is summarized such as correlation characteristic matrix, graph theory, complex network theory, finite state machine, mathematical programming and cellular automata method. These methods have vital theoretical and practical significance for the research of cyber physical power system. © 2020 IEEE.

关键词： Graph theory

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A Hybrid Simulation Study of the Herding Behavior Effects in the China National Carbon Market

A Hybrid Simulation Study of the Herding Behavior Effects in...

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

作者： Xuetong Chen Jie Huang Shuai Jin Yifei Zhang HengYu Ling State Key Laboratory of Smart Grid Protection and Control NARI Technology Co. Ltd. Nanjing China

ISBN: (纸本)9781665434263

Mitigating climate change is a global consensus. China is aiming to have carbon emissions peak before 2030 and achieve carbon neutrality before 2060. The China national carbon market is one of the key measures to achieve this ambitious “30•60” target. Compliance enterprises, financial institutions, and individual investors are allowed to participate in the national carbon market and the complex trading interactions among these heterogeneous participants will make the market dynamics difficult to predict and analyze, bringing challenges to market design and regulations. Guided by the framework of cyber-physical-social system in energy (CPSSE), this paper constructs a hybrid simulation environment based on the Dynamic Simulation platform for Macro-Energy Systems (DSMES), in order to study the herding behavior effects on carbon market under different scenario settings. The behavior models of different carbon traders such as compliance enterprises, offset developers and financial institutions are analyzed and constructed. Then, the herding behavior effects are studied under different market scenario settings such as the supply of carbon emission allowance (CEA) and carbon offset credits (COC). Finally, key insights are discussed based on multi-scenario case studies, which provide decision support for market design and regulation.

关键词： Climate change Analytical models Atmospheric measurements Conferences Carbon dioxide System integration Particle measurements

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An Assessment Method of Carbon Emission Reduction Additionality in grid Dispatching Model

An Assessment Method of Carbon Emission Reduction Additional...

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

作者： Yening Lai Xuetong Chen Jie Huang Shuai Jin State Key Laboratory of Smart Grid Protection and Control NARI Technology Co. Ltd. Nanjing China

ISBN: (纸本)9781665434263

Achieving the national goal of “carbon peak, carbon neutral” is a complex and challenging task. The carbon emission of the power industry accounts for nearly 40% of the total carbon emission, so the task of reducing emissions is heavy. However, carbon emission reduction in the power industry requires the joint effort of all segments of power generation, transmission, distribution, and consumption. It should be noted that the contribution of scientific assessment of carbon emission reduction in each segment is essential. This paper proposes a framework for assessing the carbon emission reduction additionality of subjects in every link of the power system. The proposed framework identifies the carbon emission reduction additionality of each link of power production, transmission, and consumption by comparing the carbon emission reduction benefits of a given measure with the intervention of the measure. In the evaluation framework, a multi-dispatching scenario evaluation method based on AC optimal power flow (AC OPF) is proposed to evaluate the carbon emission reduction benefits of the power grid under the clean-energy-consumption dispatching and network-1oss-minimization dispatching modes. The proposed method examines different transmission power scenarios of a new energy outgoing ultra-high voltage line and analyzes the carbon emission reduction additionality of the power grid. Finally, the feasibility of the proposed method is verified by simulations using a provincial power grid as a case study.

关键词： Power measurement Carbon dioxide System integration Production Transmission line measurements Power grids Dispatching

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Optimal Scheduling of Thermoelectricity in Integrated Energy System Based on Waste Heat Recovery from Power to Gas and Flexible Thermoelectricity Ratio

Optimal Scheduling of Thermoelectricity in Integrated Energy...

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

作者： Dongmei Yang Yu Gao Qi Wang Yan Chen Yuchen Guo Meng Wang the State Key Laboratory of Smart Grid Protection and Operation Control Nari Technology Co. Ltd. Nanjing China School of Nari Electric and Automation Nanjing Normal University Nanjing China

Aiming at the anti-peak shaving characteristics of wind power and the problem of wind curtailment caused by the ‘fixing electricity by heat’ of CHP units, an optimal scheduling method in integrated energy systems based on waste heat recovery from power to gas(P2G) and flexible thermoelectricity ratio in CHP is proposed. First, the P2G energy coupling mechanism and the feasibility of P2G waste heat recovery and utilization are analyzed. P2G equipment is introduced into the system and the remaining heat is recycled and utilized to promote wind power grid-connected consumption. Then, the principle of flexible thermoelectric ratio adjustment of CHP is analyzed, so that CHP can adjust the thermoelectric ratio following the trend of wind power output and the energy supply pressure of electric heat load, so as to improve the wind power consumption capacity of the system. Finally, the optimal scheduling model of the integrated energy system is constructed with the goal of minimizing the daily operating cost. The simulation example shows that the proposed scheduling method optimizes the thermoelectric coupling relationship of the system, effectively improves the wind power absorption capacity of the system, and has good social and economic benefits.

关键词： Couplings Cogeneration Optimal scheduling System integration Wind power generation Waste heat Heat recovery

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Impact of Generation Companies' Heterogeneous Investment Behaviors on the Effects of Non-fossil Energy Incentive Policies

Impact of Generation Companies' Heterogeneous Investment Beh...

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2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Cai, Bin Li, Tianran Wang, Kui Li, Zhiyuan Zhu, Lei Wen, Jun Xue, Yusheng Nari Group Corporation State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and Control Nanjing China Integrated Energy of Jiangsu Province Nanjing Normal University Nari School of Electrical and Automation Engineering Engineering Laboratory of Gas-Electricity Nanjing China China Huaneng Group Co. Ltd Beijing China

ISBN: (纸本)9781665414395

The incentive policies for non-fossil energy are important factors affecting the investment behavior of generation companies (GENCOs). However, the investment behavior of different types of GENCOs in the system could be quite different, so the implementation of the policy must consider how to achieve incentive compatibility with the investment behavior of GENCOs. This article constructs a power transition simulation model that considers the investment behavior of GENCOs. Taking the wind power feed-in tariff policy as an example, it analyzes the impact of policy on the whole system's low carbon transition pathway of the power structure and the evolution trajectory of system carbon emissions under different behavior scenarios. © 2021 IEEE.

关键词： Investments

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Corrosion Detection in Transformers Based on Hierarchical Annotation 7th

Corrosion Detection in Transformers Based on Hierarchical An...

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7th International Conference on Artificial Intelligence and Security, ICAIS 2021

作者： Cao, Yong Zhou, Yinian Zhang, Zhao Wu, Wenjun Chen, Xihai Yang, Sha Zhang, Baili School of Computer Science and Engineering Southeast University Nanjing China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China Nari Group Corporation Nanjing China

ISBN: (纸本)9783030786083

Transformers are prone to metal corrosion due to long-term exposure in the external environment. It is necessary to detect corrosion in time to prolong their service life-time. Detecting metal corrosion based on deep learning is becoming a feasible method at present. However, because of the irregularity and detachability of metal corrosion, traditional annotation approach results in such problems as ambiguity and uncertainty in the annotating process. Thus, a novel hierarchical annotation approach is proposed in this paper. The rationale for this initiative is as follows: traditional annotation approach has been used to annotate a large area covering the range of corrosion, as long as the area is visually continuous and adjacent to the corrosion that cannot be clearly divided. The annotation result is recorded as training set A;secondly, in the annotating boxes from the first step, the areas with obvious and relatively independent features are re-annotated to form the second level of nested annotation. The annotation result is recorded as training set B. Finally, Faster R-CNN and YOLOv5 models were trained by A, B training sets respectively in the experiment. It can be concluded that the detection performance with hierarchical annotation approach proved better than traditional annotation approach for Faster R-CNN and YOLOv5 models. © 2021, Springer Nature Switzerland AG.

关键词： Object detection

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Automatic Generation Method of Multi-Bays Graph In Power System based on Real-time Topological Model

Automatic Generation Method of Multi-Bays Graph In Power Sys...

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作者： Yuan Gao LianJie Chen Peng Si YunGuang Su CaiShen Fang Hua Xu Kun Huang NARI Group Corporation(State Grid Electric Power Research Institute) NARI Technology Co. Ltd. NARI Group Corporation(State Grid Electric Power Research Institute) NARI Technology Co. Ltd.State Key Laboratory of Smart Grid Protection and Control

Substation supervisory control is an essential part of power grid monitoring system. Besides the power flow between substations, the running states of the devices in substations are important to the staff in power grid. At present, the substation devices with their running states are drawn in electrical bay graphs, which are widely used in the power grid dispatching department. Traditional electrical bay graphs contain devices in only one substation and the drawing process of the graph relies on manual work. In this paper, an automatic generation method of multi-bay graph in power system based on real-time topological model is proposed. There are two stages in the method. In the first stage, necessary model information is obtained according to topology in real-time database. In the second stage, the bay features are firstly built in the method and the classification of the bays is achieved by these ***, a data structure of device tree is proposed and the automatic layout of devices is realized based on the data structure. Finally, automatic wiring of the devices is achieved from the perspective of aesthetic and objectivity. Experimental results show that the graph drawn by the proposed method could not only reflect the actual connection mode and running states of the substation devices but also show the power flow between these substations. The proposed drawing method could reduce manual operations and improve the work efficiency of the power grid staff.

关键词： Multi-Bays Graph Device Tree Automatic Layout Automatic Wiring

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Simulation of Fast Cascading Failures Considering Voltage Ride Through Capability of Renewable Generation

Simulation of Fast Cascading Failures Considering Voltage Ri...

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

作者： Dongbao Lv Shanshan Qiu Yujun Zhou Changgang Li Junjun Yang Wei Xu Xing Lei Changhui Ma Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China NARI Group Corporation State Grid Electric Power Research Institute Nanjing China State Grid Shanghai Municipal Electric Power Company Shanghai China Shandong Smart Grid Technology Innovation Center State Grid Shandong Electric Power Company Electric Power Science Research Institute Jinan China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

With the rapid development of renewable generation, the evolution process of fast cascading failures in the power system with a high proportion of renewable generation turns out to be more complicated. There are few existing fast cascading failure models that take into account the voltage ride through (VRT) capability of renewable generation. The portrayal of the dynamic characteristics of renewable generation still needs to be improved. In response to this, the VRT control model and VRT protection model have been established to comprehensively depict the output characteristics and disturbance tolerance capability of renewable generation in fast cascading failures. Finally, the simulation results of the AC-DC hybrid receiving-end system with a high proportion of renewable generation show that the established models can effectively depict the influence of VRT capability of renewable generation in fast cascading failures, providing a more comprehensive basis for the analysis of fast cascading failures under the access of a high proportion of renewable generation.

关键词： Renewable energy sources Voltage fluctuations Simulation Power system protection Power system dynamics System integration Delays Power system faults Voltage control Transient analysis

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