检索结果-内蒙古大学图书馆

smart substation network quality monitoring and fault prediction

Journal of Physics: Conference Series 2021年第1期2108卷

作者： Chao Li Qi Peng Dehui Wang Linglu Luo Huanhuan Zuo NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing 211006 China NARI Technology Co. Ltd. Nanjing 211006 China State Key Laboratory of Smart Grid Protection and Control Nanjing 210061 China

The smart substation communication network is the basis for information sharing of various devices in the substation. Its operation status has an important impact on the safe operation of the substation and even the power grid. Therefore, real-time status monitoring of the smart substation communication network is becoming more and more important. Aiming at the problems of single dimension, insufficient real-time performance and manual fault analysis in existing substation communication network state monitoring technology, this paper proposes a method of smart substation communication network state monitoring and fault prediction based on network communication quality. This paper uses switch ACL technology and coloring technology to obtain communication quality indexes such as bandwidth utilization, delay, and packet loss rate in real time; based on a multi-dimensional evaluation algorithm, a comprehensive evaluation model of network communication quality is constructed; the model of the relationship between abnormal network communication quality and failures is established. Finally, real-time monitoring of network communication quality and fault prediction are realized. The application analysis in a typical 110 kV substation shows that this method can effectively evaluate the network communication quality and accurately predict failures, and can guide operationer and maintenaner to quickly restore the normal operation of the communication network.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Corrections to “Decision Support System for Adaptive Restoration control of Transmission System”

引用

Journal of Modern Power Systems and Clean Energy 2021年第5期9卷 1237-1237页

作者： Ze Li Yusheng Xue Haohao Wang Lili Hao School of Electrical Engineering Southeast University Nanjing China State Grid Electric Power Research Institute (NARI Group Corporation) Nanjing China State Key Laboratory of Smart Grid Protection and Operation Control Nanjing China School of Electrical Engineering and Control Science Nanjing Tech University Nanjing China

In [1], the complete affiliation of Yusheng Xue is as follows: Y. Xue (corresponding author) is with the School of Electrical Engineering, Southeast University, nanjing, China, and he is also with state grid Electric Power Research Institute (NARI Group Corporation), nanjing, China, and state key laboratory of smart grid protection and Operation control, nanjing, China.

关键词： Electrical engineering Adaptive systems control systems Power systems smart grids

来源：评论

学校读者我要写书评

暂无评论

Day-ahead optimal scheduling of integrated energy system with electric heat pump

引用

IOP Conference Series: Earth and Environmental Science 2020年第1期431卷

作者： Nianchu Zhang Qi Wang Ming Ni Manli Li Zheng Zhang Nanjing Normal University (College of Electrical and Automation Engineering) Nanjing China NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing China NARI Technology Co. Ltd. Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

The regional integrated energy system is an effective way to realize energy cascade utilization and improve the flexibility and economy of the load side operation. Combine cooling heating and power (CCHP) system is a typical form of integrated energy systems. However, due to heat-load-based operation mode, the peak modulation capacity of CCHP units and the accommodation of renewable energy are limited. This paper explores methods of increasing the flexibility and economy of the system. An optimal scheduling model is proposed for integrated energy systems containing an electric heat pump, considering heating network characteristics. Simulation results show that the electric heat pump can help the system realize heat-and-power decoupling, improve the flexibility of the system and reduce the operating cost of the system.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Deep Learning Based Real-time Load Forecasting Method in Electricity Spot Market

引用

Journal of Physics: Conference Series 2019年第6期1176卷

作者： Qipei Zhang Jixiang Lu Zhihong Yang Mengfu Tu Nari technology co ltd. Nanjing 211106 China State Key Laboratory of Intelligent power grid protection and operation control Nanjing 211106 China

This paper analyzes the potential influence in Chinese electricity market due to the reform and access of the electricity spot market. On this occasion, a deep learning based model for load forecasting is proposed to improve the market operator's precise scheduling level and assist power retailers in managing bid strategies. Long-Short Term Memory (LSTM) unit is used to modeling, which is one of the most popular techniques of deep learning. In addition, historical power load data and meteorological data of Suzhou and Lianyungang in China from January 2015 to December 2017 are used for the study to training and evaluate forecasting model. As a result, this paper shows the compare results with exiting machine algorithm for load forecasting.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The operation analysis of the CCHP driven by Gas-steam combined cycle

引用

IOP Conference Series: Earth and Environmental Science 2020年第5期558卷

作者： Junyu Liang Xingyu Yuan Jiangqi Gu Yunnan Electric Power Research Institute CSG China NARI Group Co. Ltd The State Key Laboratory of Smart Grid Protection and Operation Control

In combined cooling heating and power system, the gas-steam combined cycle is gradually used more and more. The common operation mode in CCHP is mainly to determine heat by electricity and heat by electricity. This paper defines an index indicator and analyzes the difference between the two operating modes in different intervals through the system energy supply interval chart, finally analyzes the difference in the indicators between the two operating modes through the actual load method. It is concluded that in winter operating conditions, the following the thermal load (FTL) operation mode is better; in summer operating conditions, the indicator of following the electric load (FEL) is better; during the transition season, the value of PEC is better in the case of following the thermal load.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Reliability analysis of security and stability control systems with remote redundancy in power systems

引用

IOP Conference Series: Earth and Environmental Science 2019年第3期227卷

作者： Xijian Dong Heping Jia Bijun Li Chao Huo Feng Xue Jianbo Luo Xianbo Ke NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing 211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing 211106 China College of Electrical Engineering Zhejiang University Hangzhou 310027 China Northwest Division of State Grid Corporation of China Xi'an 710048 China.

During the transition period of UHV AC/DC power grid construction in China, the dependence of the secure and reliable operation of power grids on the security and stability control system (SSCS) has been greatly enhanced. SSCS has shown a trend of large-scale, wide-area and complex in recent years. Considering the high reliability requirements of large-scale SSCS, the necessity of redundant configuration of important sites is first outlined in this paper. Moreover, the reliability indices including mis-operation rate and rejection rate of SSCS with and without remote redundancy are analyzed as well as the relationship between reliability indices and failure rate of single device. The key research directions of the reliability research of the SSCS under the new situation are further pointed out.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A method of automatic generation of daily work report for power dispatching based on RoBERTa

引用

IOP Conference Series: Materials Science and Engineering 2020年第1期853卷

作者： Jie Li Tao Zhang Hao Li Jixiang Lu Jinjun Lu Ziqi Li State Grid Jiangsu Electric Power Co. LTD Technology Research Center of NARI Group Corporation Nanjing China State Key Laboratory of Intelligent Power Grid Protection and Operation Control Nanjing China

Power dispatching operators need to read a large number of power dispatching logs every day and arrange them into daily work reports. It takes them a lot of time to do information extraction and transfer that information into work reports. In order to reduce the workload of power dispatching operators, we propose an intelligent method for automatic generation of daily work reports in this paper by adopting RoBERTa, which is an improved version of BERT. With the outstanding performance of RoBERTa in semantic analysis and entity recognition, the workload of power dispatching operators is reduced approximately 50% through our proposed method, which means the efficiency is greatly improved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Post-Measurement Simulation-Based Pilot protection of Ac Transmission Lines in Wind Farms

SSRN

引用

SSRN 2024年

作者： Shu, Hongchun Guan, Cheng Dai, Yue Tang, Yutao State Key Laboratory of Collaborative Innovation Center for Smart Grid Fault Detection Protection and Control Jointly Kunming University of Science and Technology Kunming650500 China Faculty of Electric Power Engineering Kunming University of Science and Technology Kunming650500 China Faculty of Land Resources Engineering Kunming University of Science and Technology Kunming650500 China Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Kunming650500 China

In AC transmission lines within wind farms, fault-induced short-circuit currents pose challenges to traditional protection mechanisms due to their limited magnitude and complex waveforms. To overcome this, a pilot protection scheme based on post-measurement simulation and model matching is proposed. An analysis of conventional protection methods' applicability to wind farm feeder lines is conducted. Using the Bergeron model, current expressions at the midpoint from both wind farm and system sides are derived. Absolute value integration within a short time window is performed. During normal operation or out-of-area faults, output line measurement matches the Belong model, resulting in small integrated current sums. Conversely, intra-area faults exhibit a mismatch, leading to significantly larger integrated current sums. Simulation results confirm robustness against transitional resistances and independence from fault distance and current transformer saturation. Theoretical analysis aligns with practical simulations.© 2017 Elsevier Inc. All rights reserved. © 2024, The Authors. All rights reserved.

关键词： Electric power transmission

来源：评论

学校读者我要写书评

暂无评论

Non-intrusive monitoring and disaggregation of industrial load based on Petri net theory

引用

IOP Conference Series: Materials Science and Engineering 2020年第6期768卷

作者： Wei Zheng Jie Yu Hongjie Tian Peng Li Chenning Wu Mengfu Tu School of electrical engineering Southeast University Nanjing 210096 China Ningxia Power Exchange Center Company Yinchuan 750001 China Nanjing SAC Power Grid Automation Co. Ltd Nanjing 210096 China NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing 211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing 211106 China

In this paper, the non-intrusive monitoring and disaggregation method of industrial load based on Petri net theory is studied. First, the basic concepts of Petri nets are introduced. On the basis of prototype Petri nets, time factor is added. Then, the Petri net with time factor is combined with industrial load production process. Considering the production sequence, start-stop time and production time constraints of industrial load, a non-intrusive monitoring and disaggregation model of industrial load is constructed. Finally, according to the actual production process of industrial load, the electricity consumption situation of each production link is calculated, and the detailed analysis results of industrial user's electricity consumption behavior are obtained. The research could provide an important reference for realization of friendly interaction between industrial users and power grid.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Risk-Averse Just-In-Time Scheme for Learning-Based Operation of Microgrids with Coupled Electricity-Hydrogen-Ammonia under Uncertainties

arXiv

引用

arXiv 2024年

作者： Li, Longyan Ning, Chao Pan, Guangsheng Zhang, Leiqi Gu, Wei Zhao, Liang Du, Wenli Shahidehpour, Mohammad Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China School of Electrical Engineering Southeast University Nanjing210096 China Zhejiang Key Laboratory of Distributed Generations and Microgrid Technology State Grid Zhejiang Electric Power Research Institute Hangzhou310014 China Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology China Department of Electrical and Computer Engineering Illinois Institute of Technology ChicagoIL60616 United States

This paper proposes a Risk-Averse Just-In-Time (RAJIT) operation scheme for Ammonia-Hydrogen-based Micro-grids (AHMGs) to boost electricity-hydrogen-ammonia coupling under uncertainties. First, an off-grid AHMG model is developed, featuring a novel multi-mode ammonia synthesis process and a hydrogen-ammonia dual gas turbine with tunable feed-in ratios. Subsequently, a state-behavior mapping strategy linking hydrogen storage levels with the operation modes of ammonia synthesis is established to prevent cost-ineffective shutdowns. The proposed model substantially improves operational flexibility but results in a challenging nonlinear fractional program. Based upon this model, a data-driven RAJIT scheme is developed for the real-time rolling optimization of AHMGs. Unlike conventional one-size-fits-all schemes using one optimization method throughout, the data-driven RAJIT intelligently switches between cost-effective deterministic optimization and risk-averse online-learning distributionally robust optimization depending on actual risk profiles, thus capitalizing on the respective strengths of these two optimization methods. To facilitate the solution of the resulting nonlinear program, we develop an equivalent-reformulation-based solution methodology by leveraging a constraint-tightening technique. Numerical simulations demonstrate that the proposed scheme guarantees safety and yields an overall cost reduction up to 14.6% compared with several state-of-the-art methods. © 2024, CC BY.

关键词： Ammonia

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：