检索结果-内蒙古大学图书馆

5th IEEE Advanced Information Management, Communicates, Electronic and automation Control Conference, IMCEC 2022

作者： Wan, Xiong Guo, Lei Cui, Can Di, Fangchun Tao, Lei Feng, Qiong Liu, Dong Li, Liang State Grid Corporation of China Beijing China North China Branch of State Grid Corporation of China Beijing China China Electric Power Research Institute Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology Beijing China State Grid Jibei Electric Power Company Limited Beijing China

ISBN: (纸本)9781665479677

With the construction and development of the new power system, the demand for the source network load storage coordinated control business is increasing. There are many kinds of object subjects participating in the power grid operation and power and electricity platform, which brings new challenges to the power grid regulation business. Blockchain technology provides a new idea to solve the problem of power regulation business. This paper studies the block chain cross chain interaction technology in the power dispatching system, analyzes the main block chain cross chain technology and its characteristics, proposes the block chain cross chain technology scheme in the dispatching field, and implements the data cross chain interaction between homogeneous and heterogeneous block chains. © 2022 IEEE.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation of Docker-based Image Repository Management system of dispatching and Control Cloud 5

Design and Implementation of Docker-based Image Repository M...

引用

5th IEEE Advanced Information technology, Electronic and automation Control Conference, IAEAC 2021

作者： Xia, Wenyue Ling, Xiaobo Wang, Jiaqi Ma, Xinxin Wang, Zhihua Chen, Hongfu Tao, Lei Huang, Yunhao Ye, Ruili China Electric Power Research Institute Beijing Key Lab of Research and System Evaluation of Power Dispatching Automation Technology Beijing China State Grid Shanghai Electric Power Company Shanghai China

With the development of dispatching and control cloud platform, the existing virtual resource management mechanism has been unable to meet the requirements of rapid construction, agile delivery and convenient management of applications. The emergence of Docker technology provides a good solution. Combined with the Docker technology and the requirements of image repository management. In this paper, we introduce an Image Repository Management system of dispatching and control cloud based on Docker technology, introduces the overall architecture of the platform, Including secure application image hosting capabilities, image distribution scheme, stable image building services and convenient image authorization functions to facilitate users to manage the entire life cycle of images. © 2021 IEEE.

关键词： Life cycle

来源：评论

学校读者我要写书评

暂无评论

A Heuristic Algorithm Based on Characteristic Analysis for Unit Commitment Problem

A Heuristic Algorithm Based on Characteristic Analysis for U...

引用

power Engineering (ICPE), International Conference on

作者： Shengnan Xu Qiang Ding Yi Pan Zhi Cai Chenda Zheng Shaoqun Song Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China State Grid Fujian Electric Power Company Fuzhou China

To improve the algorithm performance of mixed integer programming, determining the state of some integer variables in advance is the most direct and effective method. In this paper, we propose a heuristic algorithm based on characteristic analysis of unit and load for unit commitment problem. Starting with the initial state of a given unit, the state of every unit at each time point is examined. Then, the unit is considered to be put into operation when the system positive reserve not be met, and taking the load intersection line across this operation point to obtain all load characteristic values corresponding the unit, such as the load intersection point, intersection point-pair, regression time and so on. Finally, based on the division of load period, the treatment of the unit is determined one by one. By testing the standard examples and practical examples, the proposed method can save about 30% of computing time, which effectively improves the performance of mixed integer programming.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Cloud-Edge Collaboration Generation and Sharing Method of dispatching and Control Sample Data

Cloud-Edge Collaboration Generation and Sharing Method of Di...

引用

Data Science and Network Security (ICDSNS), International Conference on

作者： Dapeng Li Jie Zhang Yunhao Huang Ling Yu Jian Chen Lei Tao Jiaqi Wang Jingan Shang Cong Fu Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China State Grid Tianjin Electric Power Company Tianjin China

Artificial intelligence technologies represented by machine learning and deep learning have been studied and applied in the field of power grid regulation, but there are problems such as scattered application results and poor data resource sharing. In order to meet the application requirements of artificial intelligence in power grid regulation and improve the training effect of the model, relying on the multi-level shared architecture and massive data resources provided by the regulation cloud, cloud edge collaboration technology is adopted to design the generation and sharing method of regulation business sample data, achieving collaborative management of sample data, and promoting the inheritance and development of resources and experience in the regulation field.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Fast N–x Topology Analysis Method Based on Node Branch Calculation Model

引用

Dianwang Jishu/power system technology 2023年 47卷 51-59页

作者： Liu, Sheng Shi, Shangqiu Sun, Bo Yu, Yijun Tang, Junci Li, Tong Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Haidian District Beijing100192 China State Grid Liaoning Electric Power Corporation Liaoning Province Shenyang110000 China State Grid Liaoning Electric Power Research Institute Liaoning Province Shenyang110000 China

来源：评论

学校读者我要写书评

暂无评论

research on Centralized Optimization Clearing Method for Interregional Spot Market

Research on Centralized Optimization Clearing Method for Int...

引用

2022 power system and Green Energy Conference, PSGEC 2022

作者： Han, Bin Hu, Chenxu Yuan, Xue Yu, Mingkai Wang, Jianxiao Zhang, Lu Chang, Naichao Mu, Yongzheng Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China School of Electrical and Electronic Engineering North China Electric Power University Beijing China College of Information and Electrical Engineering China Agricultural University Beijing China National Power Dispatch Control Center Beijing China

ISBN: (数字)9781665499934

ISBN: (纸本)9781665499934

The paper presents an in-depth analysis of the clearing process of the interregional renewable energy spot market currently in operation and the trading path construction method, and explains the issues that need to be considered for the future development of this market. On this basis, a centralized and efficient interregional spot market clearing model is proposed, which makes full use of the current trading path construction method, considering the same optimization objective of price difference matching method and security constraints of interregional and regional power grids. With high scalability, this model can meet the requirements of power grid safe operation and further improve the enforceability of market clearing results. It can provide theoretic support for the development of interregional spot market and the effective coordination between cross regional and regional spot market in the future. A case study of a 5-region system is adopted to verify the correctness and effectiveness of the proposed model. © 2022 IEEE.

关键词： Electric power transmission networks

来源：评论

学校读者我要写书评

暂无评论

research and Application of Cluster Monitoring and Management technology of The dispatching and Control Cloud Based on Hybrid Architecture

Research and Application of Cluster Monitoring and Managemen...

引用

IEEE Advanced Information Management,Communicates,Electronic and automation Control Conference (IMCEC)

作者： Shuzhou Wu Yunhao Huang Lei Tao Wenyue Xia Qingbo Yang Yan Wang Zhoujie Zhang Qiong Feng Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology Haidian District Beijing China

ISBN: (纸本)9781665479691

With the continuous expansion of the scale of control cloud construction, the application of the platform has gradually increased, and the calling relationship between application containers has become increasingly complex. Ensuring the safety and stability of the control cloud platform has become a key factor in maintaining the normal operation of power dispatching. Therefore, it is urgent to carry out research on monitoring and management technology for lightweight container clusters to regulate cloud platforms. This paper designs the overall architecture of a lightweight container cluster monitoring and management platform with a hybrid structure from the host dimension, container dimension and application dimension. On the premise of ensuring data accuracy, it reduces the proportion of resources in the monitoring system and improves the scalability of monitoring indicators. At the same time, simulation experiments are carried out in terms of index collection performance and dynamic expansion of monitoring indicators. The verification results show that the monitoring scheme based on the hybrid architecture can flexibly and dynamically monitor the cloud platform in real time and ensure the safe and stable operation of the cloud platform.

关键词： Process monitoring Scalability Stability criteria Containers dispatching Real-time systems Safety

来源：评论

学校读者我要写书评

暂无评论

Maintenance Scheduling Optimization for AC-DC Grid Based on Component Status under N-1 Contingencies

Maintenance Scheduling Optimization for AC-DC Grid Based on ...

引用

IEEE Asia power and Energy Engineering Conference (APEEC)

作者： Zhi Cai Jiali Zhang Bin Han Yueshuang Bao Xinyuan Liu Huiping Zheng Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China State Grid Shanxi Electric Power Supply Company Taiyuan China

The joint optimization technology of maintenance scheduling with power outage with long-term unit commitment is a powerful support to the safe operation of AC-DC transmission grid. With respect to the splitting of single-ended component that may happen under the simultaneous action of branch maintenance and N-1 contingencies, this paper adds the in-service/out-of-service status variables of branch, generator, load and DC converter after maintenance and N-1 contingencies on the basis of the 0-1 decision variable of maintenance scheduling and unit commitment, and determines the association relationships between the variables above-mentioned, based on which the optimization model of the AC-DC grid maintenance scheduling is established, and linearizes the 0-1 status variables and non-linear constraints therein, to generate the mixed-integer programming model that is easy to be solved, to realize overall optimization of maintenance and power generation. Simulation is conducted by taking the improved IEEE 39-bus system as an example. The result shows that the proposed model and the algorithm can deal effectively with the load-generation imbalance caused by the component status change, enhance the reasonability and solvability of the maintenance scheduling based on N-1 contingencies, thus to upgrade the security of maintenance scheduling.

关键词： Analytical models systems operation Contingency management Maintenance engineering Generators Scheduling Inverters

来源：评论

学校读者我要写书评

暂无评论

key Feature Mining Method for power-Cut Window Based on Grey Relational Analysis

Key Feature Mining Method for Power-Cut Window Based on Grey...

引用

IEEE Advanced Information Management,Communicates,Electronic and automation Control Conference (IMCEC)

作者： Fengbin Zhang Xingwei Liu Zechen Wei Jiali Zhang Nan Yang Xuri Song Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology (China Electric Power Research Institute) Beijing China

ISBN: (纸本)9781665479691

In the process of compiling the power-cut window period of the power grid equipment maintenance plan, problems such as omission of constraints are prone to occur due to excessive reliance on manual experience. In response to these problems, this paper proposes a method for mining key features of the power-cut window based on grey relational analysis. Through mining and analysis of the historical operation data of the power grid, the operation data of new energy, and the historical power-cut information of equipment, the indicators that play a key role in the arrangement of the outage window period of the equipment maintenance plan are found. Then use the key indicator information to formulate the window period. By mining the relationship between power grid operation data and equipment power outages, this paper can give full play to the big data advantages of the power grid, improve the accuracy and efficiency of the power-cut window period.

关键词： Manuals Maintenance engineering Big Data power grids power system reliability Planning Information management

来源：评论

学校读者我要写书评

暂无评论

Hierarchical Multi-Agent Deep Reinforcement Learning for Multi-Objective dispatching in Smart Grid

Hierarchical Multi-Agent Deep Reinforcement Learning for Mul...

引用

2021 China automation Congress, CAC 2021

作者： Yang, Nan Li, Xinhang Huang, Yupeng Xiao, Menghao Wang, Zhe Song, Xuri Li, Lei Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781665426473

Due to the expansion of new energy sources, the complexity and difficulty of power grid dispatching are further increased, especially simultaneously considering security, economic and environmental factors. Existing power grid dispatching methods, such as the bisection method and proportional control, are not competent for the multi-objective complex dispatching. This paper proposes a hierarchical multi-object deep deterministic policy gradient (HMO-DDPG) algorithm to dispatch the smart grid with new energy sources. In this algorithm, the lower Decision Layer uses multi-agent architecture to make decisions for every generator unit, while the upper Optimization Layer evaluates the security, economic and environmental factors of the decisions in the whole power grid. Besides, a double evaluation mechanism deployed in the two layers is proposed to make the decision more reasonable and comprehensive. Moreover, a topology analysis method is used to avoid the islanding problem during smart grid dispatching. Experiments carried out on the power grid simulator provided by China Electric power research Institute show HMO-DDPG can enable the power grid to operate safely for over 80% days of a year without exceeding the thermal stability limit of all branches. Moreover, the economic cost is 1.80% less, and the utilization rate of new energy is 70.48% higher than that of the traditional dispatching methods on average. © 2021 IEEE

关键词： Smart power grids

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：