检索结果-内蒙古大学图书馆

power and Energy Engineering (ICPEE), International Conference on

作者： Tianyu Wang Weiwei Miao Jianming Zhao Bowen Zhang Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China State Grid Jiangsu Electric Power Co. Ltd Information & Telecommunication Branch Nanjing China

ISBN: (纸本)9781665420471

power Internet of Things (IOT) is the application of Internet of things in smart grid and the result of the development of information and communication technology to a certain stage. It will effectively integrate communication infrastructure resources and power system infrastructure resources, and improve the informationize level of power system. However, real-world complex systems are often vulnerable under disruptions. power IOT is facing with different types of attack, which contains natural disasters and human intentional attacks. Motivated by this point, we propose a general framework of power IOT robustness with different structures against diverse attacks. Evaluation on example IOT networks shows the effectiveness of our framework, and the characteristics of different structure against attacks. Our study contributes to a better understanding of power IOT robustness, and reveals the designation of the power IOT network improves the robustness of the network.

关键词： Robustness power systems Smart grids Information and communication technology Internet of Things Complex systems

来源：评论

学校读者我要写书评

暂无评论

Coordinated fault recording scheme of mpmu in distribution network based on blockchain

Coordinated fault recording scheme of mpmu in distribution n...

引用

2018 International Conference on Information Technology and Electrical Engineering, ICITEE 2018

作者： Wang, Chengbin Yun, Zhihao Zhang, Hengxu Shi, Fang He, Weiguo Fang, Chen Key Laboratory of Ministry of Education for Intelligent Dispatching and Control of Power Grid Shandong University China State Grid Shanghai Municipal Electric Power Company China

ISBN: (纸本)9781450363525

The application of MPMU in the fault diagnosis of distribution network is increasingly widespread. In addition to the waveform data of the MPMUs near the fault point, some existing fault diagnosis algorithms require the waveform of MPMU at other locations. However, the MPMU measurement signal far from the fault location may not reach the trigger recording condition. Aiming at the difficulty of cooperative fault recording of MPMU, this paper proposes a new collaborative trigger recording scheme based on blockchain. In this scheme, every MPMU acts as a node and a blockchain network is constructed. The smart contract is used to stipulate the rule of coordinated trigger recording. The MPMUs that spontaneously start the recording inform others to perform coordinated fault recording, and the waveform data are stored in a blockchain structure for the master station summoning. In this paper, the pros and cons of the blockchain-based scheme and the existing master station based coordinated fault recording scheme are analyzed, which provides a new research approach for the coordinated start-up of MPMU fault recording in the distribution network. © 2018 Association for Computing Machinery.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Wind power Fluctuation Smoothing with BESS Considering Ultra-short-term Prediction

Wind Power Fluctuation Smoothing with BESS Considering Ultra...

引用

2019 IEEE PES Innovative Smart grid Technologies Asia, ISGT 2019

作者： Zhao, Yawen Shi, Xiaohan Zhou, Boxi Wang, Xiaolei Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid of China Technology College Jinan China Huaneng Shandong Power Generation Co. Ltd Jinan China

ISBN: (纸本)9781728135205

Nowadays, power system often faces the intractable problem of power fluctuation due to the intermittency and stochasticity of renewable energy, such as wind and photovoltaics, generation system. The energy storage system, such as the battery energy storage system (BESS) is an effective way to smooth the power fluctuation so as to increase the allowed penetration level of renewable energy generation in power grid. However, the cost of the energy storage system is still very high and the efficient control strategies are needed to improve the benefit of per unit energy storage as high as possible. In view of that, this paper proposed a novel control strategy for BESS based on the common moving average filter (MAF) and ultra-short-term wind power forecast. By adding future wind power data predicted into inputs of the filter, the MAF could possess the characteristic of nearly zero phase delay, which almost eliminates the low-frequency components in the load of BESS. The control strategy proposed enables BESS to focus on the compensation of the high-frequency components of the wind power, therefore obtaining better smoothing results for given BESS and improving its economic efficiency. Simulation results in various scenarios verify the effectiveness of the proposed method. © 2019 IEEE.

关键词： Wind power

来源：评论

学校读者我要写书评

暂无评论

Comparative Study of EKF and UKF for SOC Estimation of Lithium-ion Batteries

Comparative Study of EKF and UKF for SOC Estimation of Lithi...

引用

2019 IEEE PES Innovative Smart grid Technologies Asia, ISGT 2019

作者： Xiao, Tian Shi, Xiaohan Zhou, Boxi Wang, Xiaolei Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid of China Technology College Jinan China Huaneng Shandong Power Generation Co. Ltd Jinan China

ISBN: (纸本)9781728135205

With the expanding application of lithium-ion batteries, the state of charge (SOC) estimation based on the Kalman filter (KF) draws great attention. However, lots of KF's variants, such as extended Kalman filter (EKF) and unscented Kalman filter (UKF) are available. In order to find the suitable KF variant for SOC estimation, this paper studies the performance of EKF and UKF in three scenarios based on the two-order RC model by elaborative simulation. The accuracy and convergence of the two filters are compared. The impact of the model deviation on the estimated results is also tested to evaluate the robustness. The test results show that EKF performs much the same as UKF in its accuracy, rate of convergence as well as robustness to model errors in most cases. © 2019 IEEE.

关键词： Extended Kalman filters

来源：评论

学校读者我要写书评

暂无评论

Impact of Microgrid Aggregator on Joint Energy and Reserve Market Based on Pure Strategy Nash Equilibrium

引用

Energy Procedia 2019年 159卷 142-147页

作者： Fan Liu Zhaohong Bie Jiangfeng Jiang Ke Wang State Key Laboratory of Electrical Insulation and Power Equipment Smart Grid Key Laboratory of Shaanxi Province Xi’an Jiaotong University Xi’an 710049 China China Southern Power Grid Dispatching Control Center Guangzhou 510663 China

With the coordination of various distributed energy resources, microgrid has the capability to participate energy and reserve market simultaneously via a microgrid aggregator (MGA). The profit-maximizing offering problem of MGA satisfying a pure strategy Nash equilibrium (NE) is modelled in the paper as a bi-level programming to analyze the impact of MGA on the market equilibrium. A linearization method for pure strategy NE conditions is proposed, and then the bi-level problem is equivalently transformed into a mixed integer linear programming (MILP) based on Karush-Kuhn-Tucher (KKT) conditions and strong duality theorem. Numerical results demonstrate the effectiveness of proposed method and present market NE prices are influenced by the scalability and location of integrated MGA.

关键词： Microgrid aggregator Joint energy reserve market Pure strategy Nash equilibrium Strategic offering Bi-level programming

来源：评论

学校读者我要写书评

暂无评论

Faulty line selection based on active-intervention-type arc suppression device via additional neutral resistance 8

Faulty line selection based on active-intervention-type arc ...

引用

8th Renewable power Generation Conference, RPG 2019

作者： Xu, Kai Wang, Peng Shi, Fang Bian, Chunyan Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University 17923 Jingshi Road Jinan China State Grid Henan Electric Power Company Electric Power Research Institute Zhengzhou China State Grid Shandong Electric Power Company Dezhou Branch Dezhou China

ISBN: (纸本)9781839531255

The excessive arc current will damage electric equipment and threaten personal security when the single-phase-to-ground fault occurs in the distribution network. The active-intervention-type arc suppression device can effectively suppress the arc current by actively switching on the grounding switch of the faulty phase at the bus. However, in case of mis-selection, a more severe two-phase fault will be triggered. This paper studies the procedures of the active-intervention-type arc suppression device and proposes a faulty line and faulty phase selection method based on the neutral point additional resistance. The real-time line-to-ground parameters are calculated using the neutral point voltage changes before and after the additional resistance switching, and then the change of the line-to-grounding parameter is analysed to determine the faulty phase. The zero-sequence components of each line are analysed, and a mathematical formula is presented to determine the faulty line as the switching of the additional resistor will change the zero-sequence circuit of the faulty line. Simulation results show that the proposed method has high accuracy and reliability even for high-resistance-to-ground fault. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Electric grounding

来源：评论

学校读者我要写书评

暂无评论

Input data analysis for the thermal rating prediction of the overhead conductor

Input data analysis for the thermal rating prediction of the...

引用

2019 International Conference on Civil Engineering, Environment Resources and Energy Materials, CCESEM 2019

作者： Wenbo, Li Luhua, Xing Shanqiang, Fu Huadong, Li Zhe, Jiang Bo, Chen Electric Power Research Institute State Grid Shandong Electric Power Company Shandong Province Jinan250003 China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China Jining Power Supply Company State Grid Shandong Electric Power Company Jining Shandong Province272100 China

The thermal rating of the overhead conductor is closely related to meteorological factors such as wind speed, wind direction, ambient temperature and solar radiation. Therefore, both the historical thermal ratings and meteorological data are alternative input data to predict the thermal rating of the overhead conductor. It is important to select suitable input data to improve the prediction accuracy of the prediction results. Based on the collection of micro-meteorological data from overhead line monitoring system, this paper presents a method to determine the input data for the thermal rating prediction by analysing the autocorrelation of overhead thermal ratings and the cross-correlation between thermal rating and historical micrometeorological data. The results show that the proposed method can provide reference information for the selection of predictive input quantities and prediction time domain. © Published under licence by IOP Publishing Ltd.

关键词： Input output programs

来源：评论

学校读者我要写书评

暂无评论

Assessment of Wind power Ramp Events Based on Stacked Denoising Autoencoder 8

Assessment of Wind Power Ramp Events Based on Stacked Denois...

引用

8th IEEE International Conference on Advanced power System Automation and Protection, APAP 2019

作者： Liang, Zhixiang Liu, Yutian Liu, Xiaoming Cao, Xiangyang Zhang, Liudong Wu, Haiwei Zhang, Qibing Yang, Ming Shandong University Ministry of Education Key Laboratory of Power System Intelligent Dispatch and Control Jinan250061 China Economic Technology Research Institute State Grid Shandong Electric Power Company Jinan250001 China State Grid Jiangsu Electric Power Company Nanjing210032 China

ISBN: (纸本)9781728117225

Wind power ramp events had a significant impact on the power balance of power system and may lead to load shedding. A data driven method was proposed for wind power ramp events assessment in this paper. The K-means clustering algorithm was used to divide the samples to several classes. The stacked denoising autoencoder was used to extract layer features to train support vector machine. Historical and forecast data of wind power, load power, conventional unit and pumped storage station power were taken as inputs. The output was whether ramp event occurred. A severity function was constructed to assess the severity grade which was predicted to be a wind power ramp event based on effect theory. The credibility of the assessment result was represented by confidence interval. Simulation results of a provincial power grid showed that the prediction method in this paper was more accurate and credibility was high enough to help the dispatchers to take measures for the security of power grid. © 2019 IEEE.

关键词： Grading

来源：评论

学校读者我要写书评

暂无评论

Robust Integrated optimization of Active Distribution Network Based on System Risk Index

Robust Integrated optimization of Active Distribution Networ...

引用

IEEE Student Conference on Electric Machines and Systems

作者： Yumin Zhang Haishu Gao Xingquan Ji Qi Liu Yixiao Yu College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

ISBN: (数字)9781728156224

ISBN: (纸本)9781728156231

This paper presents a comprehensive distribution robust optimization model based on the distribution network risk index to address the distributional uncertainties of distributed generations (DGs) and loads. To analyze the security of active distribution network (ADN) systematically, a risk assessment method based on improved semi-invariant method and clustering technique is proposed. The risk assessment method is performed on the integrated dynamic reconfiguration and reactive power optimization model. This method can consider the correlation between distributed power sources, and when the injected power is large, the calculation results with higher accuracy can be obtained Case studies on the PG&E 69-bus system verify the robustness and feasibility of the proposed model.

关键词： Uncertainty power supplies Computational modeling Risk management Indexes Optimization Load modeling

来源：评论

学校读者我要写书评

暂无评论

Robust Dispatch of Integrated Electric-Heat Systems Considering Weather-Parameter-Driven Residential Thermal Demands

Robust Dispatch of Integrated Electric-Heat Systems Consider...

引用

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

作者： Guanghui Hua Chen Li Yong Zhang Dan Li Chuang Liu Cheng Wang State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institut Nanjing China National Power Dispatching and Control Center Bejing China State Grid Hebei Electric Power Co. Ltd. Shijiazhuang China State Grid DC Engineering Construction Company Bejing China School of Electrical and Electronic Engineering North China Electric Power University Bejing China

ISBN: (数字)9781728196060

ISBN: (纸本)9781728196077

Conventional day-ahead scheduling strategies of integrated electricity and heating system (IEHS) are oversimplified for the thermal demand modeling and cannot meet the thermal comfort of the users. Furthermore, this unbalanced power may lead to reserve capacity deficiency in the power system, due to the thermal-electric coupling of the combined heat and power (CHP) units in IEHS. This paper derives a tractable and accurate residential thermal demand (RTD) model, which comprehensively considers the impact of weather conditions. Then, a robust scheduling strategy is employed to tackle the uncertainties of the renewable generation outputs and RTDs, suggesting a double-stage optimization model. The first stage is to identify the unit commitment with minimum operational cost. In the second stage, the feasibility of the first stage unit commitment would be checked to minimize the summation of slack variables. Besides, the robust optimization model is converted into a mixed-integer linear program via the big-M method and solved by column and constraint generation (C & CG) algorithm. The simulation results show the effectiveness of the proposed RTD model, as well as the robust scheduling strategy for IEHS.

关键词： Uncertainty Simulation Cogeneration Stochastic processes System integration Optimization Meteorology

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：