检索结果-内蒙古大学图书馆

42nd Chinese control Conference, CCC 2023

作者： Liu, Xinghua Yang, Xiang Sun, Yuzhen Zhao, Tianyang Wang, Peng Xi'an University of Technology Department of Power Grid Information and Control Engineering Xi'an710054 China State Grid Linshu County Power Supply Company of Shandong Province Linshu276700 China Energy and Electric Research Center Jinan University Zhuhai519070 China School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore

ISBN: (纸本)9789887581543

Reinforcement of transmission lines before natural disasters such as typhoons is an effective measure to ensure that the power system can operate safely in face of extreme weather. To enhance the grid resilience, the uncertain problem is formulated as a two-stage robust optimization (TRO) problem for the resilient unit commitment. The exogenous uncertain polyhedral model does not address the coupling problem of typhoon hazard, reinforcement decision and transmission lines state, for which an decision-dependent uncertainty (DDU) set is constructed in this paper. Because the two-stage robust optimization problem based on decision-dependent uncertainty sets cannot be solved by the traditional column and constraint generation (C&CG) algorithm, a novel iterative algorithm based on the C&CG is invoked in this paper, in which advanced optimality cuts and feasibility cuts are designed to combine the uncertainty decision coupling. Lastly, the IEEE-5 bus test system is simulated under the influence of a typhoon to verify the effectiveness of the proposed method. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Electric lines

来源：评论

学校读者我要写书评

暂无评论

Photovoltaic Data Cleaning Method Based on DBSCAN Clustering, Quartile Algorithm and Pearson Correlation Coefficient Interpolation Method 6

Photovoltaic Data Cleaning Method Based on DBSCAN Clustering...

引用

6th International Conference on Energy, Electrical and power engineering, CEEPE 2023

作者： Wang, Biyuan Deng, Xingye Chen, Taowei Li, Yidong Huizhou Power Supply Bureau Guangdong Power Grid Co Guangdong China School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China

ISBN: (纸本)9798350348279

The proportion of photovoltaic power generation in the global energy structure is increasing year by year. Because of its volatility and periodicity, grid-connected photovoltaic challenges the safe and stable operation of power grid. One of the ways to solve this problem is data mining. Data mining needs high-quality data support, and data cleaning is one of the important means to improve data quality. Aiming at the problem of poor quality of original PV data, this paper analyzes two typical outliers of PV data and proposes a PV output data cleaning method based on Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm, quartile algorithm and Pearson correlation coefficient interpolation method. Comparison of DBSCAN clustering algorithm combined with the quartile method of outlier identification with the quartile method alone outlier identification, the effectiveness of the method proposed in this paper is verified. Then using the method proposed in this paper for outlier identification based on Pearson correlation coefficient interpolation and cubic spline interpolation to verify the data filling effect, the results show that Pearson correlation coefficient interpolation is superior to cubic spline interpolation. Finally, two sets of data with different data cleaning methods are substituted into the Long short-term memory (LSTM) Model to verify accuracy of the cleaning method proposed in this paper. © 2023 IEEE.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

Deep neural network based interpolation of sparse samples for time-dense power load forecasting 4

Deep neural network based interpolation of sparse samples fo...

引用

4th International Conference on Computer engineering and Application, ICCEA 2023

作者： Li, Bo Zhao, Ruifeng Lu, Jiangang Xin, Kuo Huang, Jinhua Lin, Guanqiang Chen, Jinrong Pang, Xueyue Wu, Shunxin Electric Power Dispatching and Control Center of Guangdong Power Grid Co. Ltd. Guangdong Guangzhou China Electric Power Dispatching and Control Center of China Southern Power Grid Co. Ltd. Guangdong Guangzhou China Electric Power Research Institute of Guangdong Power Grid Co. Ltd. Guangdong Guangzhou China Huizhou Power Supply Bureau of Guangdong Power Grid Co. Ltd. Guangdong Huizhou China Foshan Power Supply Bureau of Guangdong Power Grid Co. Ltd. Guangdong Foshan China China Energy Engineering Group Guangdong Electric Power Design Institute Co. Ltd. Guangdong Guangzhou China School of Electrical Engineering Chongqing University State Key Laboratory of Power Equipment & System Security and New Technology Chongqing China

ISBN: (纸本)9798350347548

Large amount of power load data with high-sampling rate plays a crucial role in the training of time-dense power load forecasting network. However, in many cases, there is a large amount of data with low-sampling rate, which can't directly train a time-dense forecasting network. Therefore, this paper proposes a deep learning based dataset interpolation method, which uses the available high-sampling rate power load datasets to train a dataset interpolation network, then interpolates the low - sampling rate datasets with trained network to obtain high-sampling rate datasets, and finally uses the interpolated datasets for time-dense forecasting network training. The results show that the data obtained based on the method proposed in this paper fits the ground-truth closer than the traditional interpolation, and the results of the network trained based on this dataset are more accurate in the subsequent forecasting tasks. © 2023 IEEE.

关键词： Interpolation

来源：评论

学校读者我要写书评

暂无评论

research on on-line identification of equivalent circuit model parameters and soc estimation for lithium-ion batteries 3

Research on on-line identification of equivalent circuit mod...

引用

2021 3rd International Conference on Polymer Synthesis and Application, ICPSA 2021

作者： Feng, Juqiang Si, Yuwen Huang, Kaifeng Lu, Jun Zhang, Xing Engineering Technology Research Center of Rail Transit Power and Control Huainan Normal University Huainan232038 China School of Safety Science and Engineering Anhui University of Science and Technology Huainan232001 China Manager of Technical Department Huainan Research Institute of Mine electronic Technology Huainan232038 China

The online identification model parameters can reflect the real terminal voltage state of the battery in real time and provide accurate observation data for battery SOC estimation. BMS is an important part of new energy vehicles, which supervises and controls the working process of the battery. The core of BMS is SOC estimation, and the accuracy of its estimation is related to whether the battery works efficiently and safely. Based on Thevenin model, FFRLS-EKF and KF-EKF were used to estimate the SOC of ternary lithium battery under DST condition. The estimation results show that FFRLS-EKF has a maximum error of 0.0079, which can estimate the SOC of the battery well. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Lithium-ion batteries

来源：评论

学校读者我要写书评

暂无评论

Optimization of Robot End-Effector Load Gravity Compensation for Unmanned Live Work in Electric power Distribution Networks Based on Improved PSO Algorithm

Optimization of Robot End-Effector Load Gravity Compensation...

引用

2023 China Automation Congress, CAC 2023

作者： Chen, Jinge Chen, Xin Hu, Chenyu Huang, Guangxian Sun, Shu Jian, Xu School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Ministry of Education Engineering-Research Center of Intelligent Technology for Geo-Exploration Wuhan430074 China State Grid Hubei Electric Power Co. Ltd. Xianning Power Supply Company Distribution Department Xianning437000 China State Grid Hubei Electric Power Co. Ltd. Electric Power Science Research Institute Equipment Technology Center Wuhan430077 China

ISBN: (纸本)9798350303759

In the field of electric power distribution network operation, most tasks involve contact operations. A key technology to enable the flexible operation of robots in live distribution network tasks is the installation of six-dimensional force sensors on the robot's end flange. These sensors allow the robot to perceive external environmental contact forces. However, the presence of the end load interferes with the accurate perception of external forces. Aiming at the gravity compensation of robot end load, an optimization algorithm of gravity compensation based on particle swarm optimization is proposed. In this method, the optimal solution model is established with the objective of minimum sum of squared errors, and the particle swarm optimization algorithm is used to estimate the mounting declination angle of the force sensor and improve the precision of gravity compensation. The experiments show that the proposed method can effectively reduce the maximum gravity compensation error and the average gravity compensation error in each direction after optimization, in which the maximum gravity compensation error of the resultant force is reduced by 9.11% and the average gravity compensation error of the resultant force is reduced by 12.34%. © 2023 IEEE.

关键词： Error compensation

来源：评论

学校读者我要写书评

暂无评论

Fast control Strategy of Grid-forming Inverter Based on power Feedforward 42

Fast Control Strategy of Grid-forming Inverter Based on Powe...

引用

42nd Chinese control Conference, CCC 2023

作者： Zhang, Sheng Fang, Zhijian Liu, Qine Xiang, Muchao Huang, Dingbang School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China State Grid Hubei Electric Power Co. Ltd Xiangyang Power Supply Company Xiangyang441021 China Electric Power Scientific Research Institute of State Grid Hubei Electric Power Co. Ltd Wuhan430072 China

ISBN: (纸本)9789887581543

Grid-forming inverter is widely used in grid-connected systems of distributed generation because of its frequency and voltage support capacity and good stability in microgrid, but its large inertia will affect the dynamic response speed of grid-forming inverter. In order to solve this problem, this paper introduces the loop that affects the dynamic response of grid-forming inverter, and carries out small signal modeling for active loop, analyzes the dynamic performance indicators and determinants of typical second-order system. Thus, a method of adding power feedforward coefficient to the forward channel of the power loop is designed, and the response speed of the system with or without feedforward coefficient under the unit step response is compared. Finally, the simulation results show that adding the power feedforward coefficient can improve the response speed of the grid-forming inverter during startup and power switching, then achieves the effect of fast control. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Dynamic response

来源：评论

学校读者我要写书评

暂无评论

The 110kV Live-Maintaining Robot control System Design for Substation Equipment in Complex Working Conditions 42

The 110kV Live-Maintaining Robot Control System Design for S...

引用

42nd Chinese control Conference, CCC 2023

作者： Hu, Chenyu Chen, Xin Li, Chengyu Huang, Guangxian Zhou, Cheng Jian, Xu School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China School of Future Technology China University of Geosciences Wuhan430074 China State Grid Hubei Electric Power Co. Ltd. Xianning Power Supply Company Distribution Department Xianning437000 China State Grid Hubei Electric Power Co. Ltd Operations and Maintenance Department Xianning xian'An District Power Supply Company Xianning437000 China Equipment Technology Center State Grid Hubei Electric Power Co. Ltd. Electric Power Science Research Institute Wuhan430077 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China

ISBN: (纸本)9789887581543

Live-maintaining work is essential for continuous power supply to the substation. To improve the safety and efficiency of live-maintaining work, this paper proposes an equipotential live-maintaining robot system suitable for 110kV voltage levels. Considering the narrow space, complex working conditions and strong electromagnetic interference in substations, binocular vision technology, manipulator trajectory planning algorithm based on time-energy optimization, high voltage electromagnetic shielding technology are utilized to develop the system, and the live-maintaining robot is successfully applied in actual substation. By accurately identifying and locating the joint bolts and insulator, the robot system can achieve equipotential live-disassemble, live-assemble the joint bolts within 18 minutes and live-clean insulator within 5 minutes, demonstrating its the effectiveness and practicability. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Electromagnetic pulse

来源：评论

学校读者我要写书评

暂无评论

Two-step Optimal Allocation of Stationary and Mobile Energy Storage Systems in Resilient Distribution Networks

引用

Journal of Modern power Systems and Clean Energy 2021年第4期9卷 788-799页

作者： Xinyi Jiang Jian Chen Qiuwei Wu Wen Zhang Yicheng Zhang Jie Liu Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan 250061China Center for Electric Power and Energy(CEE) Department of Electrical EngineeringTechnical University of Denmark(DTU)2800 Kongens LyngbyDenmark Institute for Infocomm Research(I2R) Agency for ScienceTechnology and Research(A*STAR)Singapore State Grid Yantai Power Supply Company YantaiChina

Energy storage systems (ESSs) are acknowledged to be a promising option to cope with issues in high penetration of renewable energy and guarantee a highly reliable power supply. In this paper, a two-step optimal allocation model is proposed to obtain the optimal allocation (location and size) of stationary ESSs (SESSs) and mobile ESSs (MESSs) in the resilient distribution networks (DNs). In the first step, a mixed-integer linear programming (MILP) problem is formulated to obtain the preselected location of ESSs with consideration of different scenarios under normal operation conditions. In the second step, a two-stage robust optimization model is established to get the optimal allocation results of ESSs under failure operation conditions which are solved by column-and-constraint generation (C&CG) algorithm. A hybrid ESS allocation strategy based on the subjective and objective weight analysis is proposed to give the final allocation scheme of SESSs and MESSs. Finally, the proposed two-step optimal allocation model is demonstrated on a modified IEEE 33-bus system to show its effectiveness and merits.

关键词： Resilient distribution network stationary energy storage system mobile energy storage system optimal allocation

来源：评论

学校读者我要写书评

暂无评论

research on Dual-Layer Coordinated Optimization Scheduling Model of power System Based on Flow Battery for Renewable Energy Integration

Research on Dual-Layer Coordinated Optimization Scheduling M...

引用

Chinese control and Decision Conference, CCDC

作者： Xinwei Li Dianyang Li Zhuang Cai Zhi Zhou Guangdong Zhao Jian Feng Power System and New Energy Technology Research Center State Grid LiaoNing Electric Power Supply Co. LTD Electric Power Research Institute Shenyang China Power Dispatching Control Center State Grid Liaoning Electric Power Co. LTD Shenyang China College of Information Science and Engineering Northeastern University Shenyang China

ISBN: (数字)9798350387780

ISBN: (纸本)9798350387797

The integration of intermittent and fluctuating renewable energy sources such as wind and solar power into the power grid poses significant challenges for load balancing in the electricity system. To address the insufficient peak load regulation capability after the large-scale integration of renewable energy sources, a dual-layer coordinated optimization scheduling model is proposed by leveraging the rapidly evolving electrochemical energy storage device, namely the flow battery. In the first layer of the model, the objective is to enhance the overall peak load regulation capability of the power system by flattening load peaks and filling load valleys to improve the system's flexibility in load regulation and balance the supply-demand fluctuations. In the second layer of the model, the goal is to minimize the total cost of the power system operation while satisfying the optimization results of the first layer. This is achieved by re-planning the output of each component, including thermal power generation, renewable energy generation, and flow battery energy storage, to minimize the difference between costs and profits, thus reducing expenses. Finally, an improved IEEE 30-node system is used as a case study for simulation validation. The results demonstrate that with the integration of renewable energy sources, leveraging flow batteries for system load regulation enhances the overall peak load regulation capability and reduces the total cost of the system.

关键词： Renewable energy sources Costs Fluid flow Regulation power grids Batteries Thermal loading

来源：评论

学校读者我要写书评

暂无评论

Optimization strategy of automatic generation control in frequency regulation market based on improved particle swarm optimization algorithm

Optimization strategy of automatic generation control in fre...

引用

Chinese control and Decision Conference, CCDC

作者： Dianyang Li Meishan Zhang Junjie Sun Qingsong Zhao Ning Zhao Bowen Wang State Grid Liaoning Electric Power Co.LTD Power Dispatching Control Cener Shenyang China College of Information Science and Engineering Northeastern University Shenyang China Power System and New Energy Technology Research Center State Grid LiaoNing Electric Power Supply Co. LTD Electric Power Research Institute Shenyang China

ISBN: (数字)9798350387780

ISBN: (纸本)9798350387797

Frequency stability is the most important prerequisite for the safe operation of the power grid. To ensure the safe and stable operation of all kinds of power equipment in the power supply system. The frequency of the power supply system must be maintained within a reasonable range. In this paper, a simulation study on the frequency modulation performance of the combined automatic generation control system based on the improved particle swarm optimization is proposed, and the bidding constraints of the energy storage market are introduced. In the aspect of regulation strategy, the thermal power unit is mainly responsible for the low frequency command, and the energy storage system is responsible for the high frequency command. The real-time management of state of charge can not only improve the performance index of frequency modulation, but also ensure the efficient and stable operation of energy storage system. The operation strategy of energy storage power station to participate in the market in real time. The influence of different types of disturbances and the demand of intraday frequency modulation market are also fully considered. Through the above methods, the frequency modulation performance index can be improved, the wear degree of thermal power units can be reduced, and the reliability of operation can be improved.

关键词： Frequency modulation power supplies Heuristic algorithms Automatic generation control Real-time systems Performance analysis State of charge

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：