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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Tao, Li Liu, Jian An, Qi Zhang, Tiance Wang, Jianxiao Beijing Kedong Electric Power Control System Co. Ltd. Nari Group Corporation State Grid Electric Power Research Institute Beijing China North China Electric Power University School of Electrical and Electronic Engineering Beijing China

ISBN: (纸本)9781728143033

In order to give full play to the positive role of distributed energy storage systems in renewable energy grids, this paper studies the optimization of unit portfolios with virtual power plants. A distributed energy storage flexibility interval aggregation method based on Minkowski Sum and convex edge detection is proposed to aggregate multiple distributed energy storage into a virtual power plant. In this paper, the multi-objective particle swarm optimization algorithm is adopted to solve the multi-objective optimization problem of optimal output and energy storage charging and discharging successfully by considering the conventional constraints of horizontal parallel units and the energy conservation and capacity constraints of longitudinal energy storage in the same scheduling interval. The results of case studies show that the virtual power plant scheduling scheme optimized by MOPSO has a significant effect on peaking and valley filling, eliminating renewable energy and reducing operating costs. © 2020 IEEE.

关键词： Virtual power Plants

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Effect of O2on Partial Discharge Characteristic of C5F10O/CO2Gas Mixture

Effect of O2on Partial Discharge Characteristic of C5F10O/CO...

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2021 International Conference on Advanced Electrical Equipment and Reliable Operation, AEERO 2021

作者： Xia, Yalong Liu, Fan Wei, Zhuo Zhang, Xiaoxing Han, Pu Xiao, Song Li, Zhen Li, Yi Li, Yalong Research Institute State Grid Sichuan Electric Power Cheng Du China Wuhan University School of Electrical Engineering and Automation Wuhan China Hubei University of Technology Hubei Key Lab. for High-efficiency Utiliz. of Solar Ener. and Oper. Control of Energy Storage System Wuhan China

ISBN: (纸本)9781665402644

C5F10O, as a new eco-friendly gas insulating medium with great application potential, has attracted much attention from researchers. There are few studies on the partial discharge (PD) characteristics of C5F10O/CO2O2 gas mixture at present. In this paper, we used needle-plate electrodes to simulate the extremely inhomogeneous electric field caused by the defects of metal protrusions in electrical equipment and tested the partial discharge initial voltage (PDIV) of C5F10O/CO2O2 gas mixture. The effect of oxygen on the partial discharge characteristics of C5F10O gas mixture was revealed. We found that C5F10O gas mixture has an obvious polarity effect, and PDIV+ is always larger than PDIV-. The addition of oxygen reduces the PDIV- and PDIV+ of C5F10O gas mixture and the reduction effect on PDIV+ is more obvious. Therefore, the degrading effect of O2 on the partial discharge characteristics of C5F10O gas mixture should be considered and the proportion of oxygen in C5F10O gas mixture should be strictly controlled. © 2021 IEEE.

关键词： Partial discharges

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Feasibility analysis of single-end equivalent modeling to LCC-HVDC transimission system 4

Feasibility analysis of single-end equivalent modeling to LC...

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4th IEEE Conference on Energy Internet and Energy system Integration, EI2 2020

作者： Wang, Bin Li, Zhizhong Guo, Qi Liu, Zhijiang Li, Shuyong Cui, Liu Tsinghua University Dept. of Electrical Engineering Beijing China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China National Energy Power Grid Technology RD Centre Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9781728196060

The commutation failures seriously threaten the safe operation of hybrid AC/DC grid. Considering that commutation failure occurs only on the inverter side, it is very important to study the voltage controlled current source model of LCC HVDC single terminal measurement information with high equivalent accuracy, which is very important for the practicality of real-time electromagnetic transient simulation of LCC HVDC dynamic phasor model. In order to this problem, this paper further discusses the single terminal equivalent model of LCC HVDC system which does not depend on the measurement information of DC sending end AC system, and explores the estimation method of single terminal fast transient response of complex AC/DC coupling faults induced by AC side fault of LCC HVDC inverter station and participation of DC control separation. The error distribution of single terminal equivalent calculation is quantitatively analyzed to lay a foundation for the follow-up protection and control technology research. © 2020 IEEE.

关键词： Electric inverters

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NSGA-II Based Multi-objective Optimization Method for power IoT Terminal Sensors

NSGA-II Based Multi-objective Optimization Method for Power ...

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Networking systems of AI (INSAI), International Conference on

作者： Jun Zhang Yang Hu Chizhi Huang Dongliang Wang Lintao Deng Lingzhe Meng Zhibao Wang Chengxin Pang State Grid Electric Power Research Institute NARI Nanjing Control System Co. Ltd Nanjing China School of Electronics and Information Engineering Shanghai University of Electric Power Shanghai China

ISBN: (纸本)9781665408608

In the IoT system of transmission, substation and distribution power with complex sensing nodes, the problem of taking into account the dynamic configuration of terminal sensor parameters and battery life in the sensing layer needs to be addressed. To address this issue, a multi-objective optimization method using NSGA-II genetic algorithm is presented for solving a multi-objective optimization model with communication distance and lifetime as optimization objectives to obtain multiple sets of parameter configurations for the transmit power, communication channel and sampling period of the terminal sensor, while using a fuzzy affiliation function to choose the optimal solution to achieve the optimal configuration of the parameters. The model and method are applied to the optimal configuration of parameters of temperature and inclination sensors, and the feasibility of the proposed method is confirmed.

关键词： Temperature sensors Substations Heuristic algorithms Optimization methods Communication channels Sensors Batteries

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Optimal Scheduling Strategy of a Regional Integrated Energy system Considering Renewable Energy Uncertainty and Heat Network Transmission Characteristics

SSRN

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SSRN 2022年

作者： Chen, Haipeng Gao, Lin Zhang, Yongling Zhao, Chang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China Department of Electrical Engineering Northeast Electric Power University Jilin132012 China Gongqing Institute of Science and Technology Gongqing City 332020 China National New Energy Group Jilin Jiangnan Thermal Power Limited Company Jilin132012 China

In order to overcome the curtailment of wind energy caused by "power determined by heat" of combined heat and power units, this study proposes an integrated demand response strategy and optimization method for heat-electric energy dispatching in a regional integrated energy system. Firstly, a scene analysis model based on Latin Hypercube Sampling (LHS) and Backward Reduction (BR) is constructed to analyze the probabilistic properties of wind power output in various scenes, and further provide a necessary reference for integrated energy scheduling. Secondly, the schedulable electrical power and thermal demand are evaluated with the consideration of the transmission characteristics of the heat supply network, then the integrated demand response of electric-thermal coordination is adopted to facilitate suppress the heat load fluctuation and wind power consumption. Finally, the optimal scheduling model of regional integrated energy system is established considering the source-load coordination, and the optimal output of each power unit is determined with the goal of minimizing overall cost during the scheduling period. The simulation results demonstrated that the proposed scheduling method reduces the operation cost of the integrated energy system and effectively promotes the wind energy consumption. Furthermore, it serves as a benchmark for the coordinated operation of wind turbines and power grids. © 2022, The Authors. All rights reserved.

关键词： Electric power utilization

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An Early Fault Detection Method of the Induced Draft Fan Based on Long-Short Term Memory Network and Double Warning Thresholds

An Early Fault Detection Method of the Induced Draft Fan Bas...

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Chinese control and Decision Conference, CCDC

作者： Wei Wei You Lv Yizhuo Liu Qing Li Shisen Xu Jun Li School of Control and Computer Engineering North China Electric Power University Beijing P. R. China Key Laboratory of Power Station Energy Transfer Conversion and System North China Electric Power University Beijing P. R. China Beijing Key Laboratory of New Technology and System on Measuring and Control for Industrial Process North China Electric Power University Beijing P. R. China Huaneng Technology Innovation Center Beijing P. R. China Xian Thermal Power Research Institute Company Limited Xian P. R. China

ISBN: (纸本)9781665478977

The induced draft (ID) fan is a significant piece of auxiliary equipment in thermal power plants. An early detection of possible faults in the ID fan may be used for effective predictive maintenance, thereby reducing the overall maintenance cost and improving the reliability and availability of thermal power plants. This paper proposed a genetic algorithm and long-short term memory network (GA-LSTM)-based condition monitoring approach using normal operation data of the ID fan. Furthermore, the LSTM network and the sliding window technique were introduced to construct double thresholds, which contains a dynamic threshold and a static threshold. The GA-LSTM-double thresholds method was applied to a coal-fired power plant to achieve early fault detection and diagnosis. The results demonstrates that the proposed method is capable of detecting minor anomalies in advance.

关键词： Fans Fault detection Neurons Predictive models Indexes Reliability State estimation

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Reliability Evaluation of Distribution Grid Considering Flexible Grid Connection of Distributed Photovoltaic

Reliability Evaluation of Distribution Grid Considering Flex...

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作者： Zecheng Li Yanying Sun Chen Feng State Grid Ningxia Electric Power Research Institute School of Mechanical Electronic and Information Engineering China University of Mining and Technology (Beijing) The Key Laboratory of Power System Intelligent Dispatch and Control Shandong University

Aiming at the problem that the flexible access of distributed photovoltaics to the distribution network affects its reliability,this paper establishes a model of the distributed photovoltaic output probability based on the typical output characteristics of distributed photovoltaics ***,the power grid risk assessment indicators are determined to facilitate the quantification of distribution network risks,including voltage over-limit,power over-limit,and load loss risk ***,a distribution network model containing distributed photovoltaic grid-connected is established on the MATLAB simulation platform,and the risk assessment of the distribution network containing distributed photovoltaic grid-connected is carried out.

关键词： distributed photovoltaic voltage limit power limit loss of load risk assessment

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State Estimation for Integrated Energy systems: Motivations, Advances, and Future Work

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IEEE Transactions on power systems 2024年

作者： Zhao, Junbo Srivastava, Ankur Guo, Ye Cetenovic, Dragan Lin, Yuzhang Levi, Victor Yin, Guanxiong Huang, Manyun Zhang, Tingting Li, Zhigang Chen, Yanbo Exposito, Antonio G. Zhang, Wen Zheng, Weiye Chakrabarti, Saikat Li, Yang Sharma, Ankush Kamwa, Innocent Guo, Qinglai Terzija, Vladimir Mili, Lamine University of Connecticut Department of Electrical and Computer Engineering StorrsCT06269 United States Tsinghua University Tsinghua-Berkeley Shenzhen Institute Shenzhen518055 China The University of Manchester Department of Eee ManchesterM13 9PL United Kingdom University of Kragujevac Faculty of Technical Sciences Čačak Čačak32000 Serbia New York University Department of Electrical and Computer Engineering NY11201 United States Tsinghua University Department of Electrical Engineering Beijing100084 China Hohai University College of Energy and Electrical Engineering Nanjing210098 China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan250061 China The Chinese University of Hong Kong-Shenzhen School of Science and Engineering Shenzhen518172 China North China Electric Power University School of Electrical and Electronic Engineering Beijing102206 China University of Sevilla Spain Sevilla41092 Spain South China University of Technology School of Electrical Power Engineering Guangzhou510641 China Indian Institute of Technology Kanpur Department of Electrical Engineering Kanpur208016 India Northeast Electric Power University School of Electrical Engineering Jilin132012 China Laval University Department of Electrical and Computer Engineering QuebecQCG1V 0A6 Canada Tsinghua University State Key Laboratory of Power Systems Department of Electrical Engineering Beijing100084 China Newcastle University School of Engineering Newcastle upon TyneNE1 7RU United Kingdom Virginia Polytechnic Institute and State University Bradley Department of Electrical and Computer Engineering Falls ChurchVA22043 United States

This paper summarizes the technical activities of a three-year-long IEEE Task Force (TF) on State Estimation (SE) for Integrated Energy systems (IES). It presents the formal definition and characteristics of IES, along with the comprehensive discussion on Electric power systems (EPS) model, and static and dynamic models associated with heating and natural gas systems. The paper also identifies the barriers of SE for IES, such as estimation modeling, observability analysis, and measurement requirements, together with addressing multi-scale dynamics. An extensive comparative analysis between Integrated Energy systems-State Estimation (IES-SE) and more established Electric power system-State Estimation (EPS-SE) is presented. The paper also provides future research needs and directions related to IES-SE. © 1969-2012 IEEE.

关键词： power system analysis

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Effects of Geometric Parameters on Performance of Rectangular Submerged Inlet for Aircraft

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Transactions of Nanjing University of Aeronautics and Astronautics 2021年第6期38卷 984-992页

作者： LIU Chao PEI Houju CHEN Changdong XU Wenbing YANG Kaijie Environment Control and Oxygen System Department Shanghai Aircraft Design and Research InstituteShanghai 201210P.R.China AVIC Nanjing Servo Control System Corporation Nanjing 210016P.R.China College of Energy&Power Engineering Jiangsu University of Science and TechnologyZhenjiang 212003P.R.China Key Laboratory of Aircraft Environment Control and Life Support MIITNanjing University of Aeronautics and AstronauticsNanjing 210016P.R.China

To improve the comfortability and safety of aircraft,the demand of rectangular submerged inlets(RSIs)with low resistance is proposed to increase the inlet flow rate of ram air. A theoretical model is built to numerically analyze the effects of geometric parameters on the inlet mass flow rate of RSIs. The geometric parameters in question here encompass the aspect ratio of 2—4,the ramp angle of 6°—7°,the characteristic parameter of the throat of 0.20 —0.30,the ramp length of 939—1 337 mm,and the cone angle of 0° —3°. Simulation results demonstrate that the mass flow rate(MFR)is positively correlated with the aspect ratio,ramp angle,ramp length,and cone angle,and negatively correlated with characteristic parameter of the throat. Within the range of the geometric parameters considered,the RSI with the aspect ratio of 3,the ramp angle of 6°,the characteristic parameter of the throat of 0.20,the ramp length of 1 337 mm,and the cone angle of 3° obtains the largest MFR value of about 2.251 kg/s.

关键词： ram air system rectangular submerged inlet geometric parameter mass flow rate(MFR)

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Research on Fault Diagnosis Method of Distributed power Distribution Network Based on HHT and CNN

Research on Fault Diagnosis Method of Distributed Power Dist...

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第33届中国控制与决策会议

作者： Xiaodong Sun Huanxin Guan Yan Zhao Tieyan Zhang Yuri Wang Bo Yang School of Electric Power Shenyang Institute of Engineering State School of Renewable Energy Shenyang Institute of Engineering Key Laboratory of Regional Multi-energy System Integration and Control Liaoning Province School of Automation and Electrical Engineering Shenyang Ligong University State Grid Zhangye Power Supply Company

Accurate and reliable fault diagnosis is very important for improving relay protection performance and ensuring safe and stable operation of power *** paper presents a fault diagnosis method for distributed power distribution network based on convolutional neural *** fault occurs in the distribution network,FTU acquisition unit is used to sample the fault current and voltage signals of the distribution ***-Huang transform is applied to the fault signal,and a two-dimensional time-frequency energy matrix is *** the time-frequency energy matrix is input into the convolutional neural network to realize the fault type identification of transmission lines in the distribution network with distributed power *** simulation results show that the model in this paper improves the speed of fault diagnosis,makes the model more robust,and can determine and judge fault types more accurately and quickly.

关键词： power Distribution system with Distributed power Hilbert-Huang Transform Convolutional Neural Network Fault Classification

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