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检索条件"机构=State Key Laboratory of Smart Grid Protection and Operation Control"

共 394 条记录，以下是211-220 订阅

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Research and Application of Simplified Service Bus in New Generation Dispatching Technical Support System and Heterogeneous System 6

Research and Application of Simplified Service Bus in New Ge...

引用

6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Qiang, Yi Shupeng, Wan Zhemin, Wang Weihua, He Ping, Zhang Feng, Zhang NARI Technology Co. Ltd System R&D Center Nanjing China State Grid Shanxi Electric Power Co. Ltd Taiyuan China State Key Laboratory of Smart Grid Protection and Control System R&D Center Nanjing China

ISBN: (纸本)9798350347159

With the rapid development of UHV AC / DC hybrid power grid, in order to cope with the large-scale access of new energy, the power market reform has been continuously promoted. Therefore, it is proposed to build a new generation of dispatching technical support system to meet the needs of future power system development and safe, stable and high-quality operation. This paper proposes a simplified service bus that supports a new generation of service-oriented architecture, and meets the deployment characteristics of cloud terminals that are cross platform, lightweight, easy to deploy, open and efficient. The simplified service bus can well meet the location independent characteristics and be easily deployed in and out of the system. The flexible protocol processing mode cooperating with the gateway can meet the needs of accessing the services of the system and external systems. At the same time, it supports multiple man-machine network and automatic switching of service network shutdown under N-1 mode, which greatly improves the availability and stability of the system, Which Provide a strong guarantee for the safe, stable and efficient operation of the new generation system. © 2022 IEEE.

关键词： Gateways (computer networks)

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

A Deep Learning Based Real-time Load Forecasting Method in E...

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2018计算机科学与工程技术国际研讨会

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

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

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Coupling Model and Cooperative Optimization operation of Multi-energy Complementary Integrated Energy System 1

引用

8th Purple Mountain Forum on smart grid protection and control, PMF 2023

作者： Yizhi, Chen Chenghong, Tang Dongmei, Yang Wenjie, Ye Wenjun, Xu Yuxiang, Meng State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China Nanjing211106 China NARI Technology Development Co. Ltd. Nanjing211106 China Nanjing Normal University Nanjing210023 China

ISBN: (数字)9789819992515

ISBN: (纸本)9789819992508

Driven by the goal of "carbon peak and carbon neutrality", a comprehensive energy system that integrates multiple energy structures has emerged. How to realize multi-energy complementarity and collaborative optimization among different sources, effectively improve energy utilization efficiency and promote the consumption of renewable energy has become a research hotspot. In this paper, the architecture of the user-side multi-energy complementary integrated energy system is studied, and the coupling equipment and energy supply network are analyzed. A multi-time scale coupling model, including a static coupling model and dynamic coupling model, is established for the multi-energy conversion equipment, Furthermore, the multi-energy coupling integration model is described. Then, a multi-energy coupling collaborative optimization method was proposed, and the objective function and constraint conditions of the system optimization operation were established. Finally, based on the coupling model and optimization method proposed in this paper, a multi-energy complementary comprehensive energy management and control system is developed. The system has been piloted and applied in several typical comprehensive energy scenarios across the country. Through data analysis and practical application verification, energy efficiency and the economy can be effectively improved. © 2024, state grid Electric Power.

关键词： Energy efficiency

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B2DASH: Bandwidth and buffer-based dynamic adaptive streaming over HTTP 3rd

B2DASH: Bandwidth and buffer-based dynamic adaptive streamin...

引用

3rd International Conference on Machine Learning and Intelligent Communications, MLICOM 2018

作者： Du, Peihan Wang, Jian Wang, Xin Xu, Zufeng Nanjing University Nanjing China 61428 unit of the Chinese People’s Liberation Army Beijing China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation 19 ChengxinRoad Nanjingjiangsu211000 China

ISBN: (纸本)9783030005566

Currently, video streaming technology is widely used for entertainment, advertising, social networking and so on. Dynamic adaptive streaming over HTTP (DASH) has largely replaced the previous release of streaming video using UDP. Many researchers have proposed algorithms to improve DASH performance. There are two types of methods: bandwidth-based and buffer-based. Both methods have pros and cons. In this article, we propose a DASH algorithm that takes both bandwidth and buffer into account. And we imitate the method of network congestion control to adjust bitrate of the video segment. The algorithm was implemented and tested, and compared with the state-of-the-art DASH algorithm–BOLA. The results showed that B2DASH outperformed BOLA for both the average bitrate and buffer rise time. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.

关键词： Adaptive algorithms

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Short-term operation planning of power grid flexibility regulation under uncertain risk scenario

Short-term operation planning of power grid flexibility regu...

引用

Sustainable Power and Energy Conference (iSPEC)

作者： Dongliang Xie Cai Wang Yusheng Xue Yening Lai Zheng Zhang Linjun Cai Xiaofang Song Huilin Zhang Chen Yu State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation (SGRPRI) Nanjing China

ISBN: (纸本)9781665414401

Traditional power grids for volatility, uncertainty, usually set a pro rata sufficient spare margin, but when the new energy grid capacity increases, if the volatility is so great, this "one size fits all" decision is often expensive, too high thermal power start-up and even result in waste of resources. Therefore, based on the study of the multi-scale flexibility control measures of source network load storage, this paper puts forward the operation planning algorithm to reduce the total operation control risk effectively by coordinating and lowering the backup measures. Synergy with the value of various flexible resources in short-term operation planning to prevent and control the risk of wind, light and power outages in power systems, to achieve flexible operation planning. Finally, through the study, the algorithm proposed in this paper is verified that the algorithm can solve the problem of risk prevention and control in operation planning more economically and safely under the condition of large-scale grid-connected new energy.

关键词： Costs Force measurement Uncertainty Prediction algorithms Regulation Power grids Planning

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Research on Service-Oriented Substation Wide-Area operation and Maintenance System and Its Application

Research on Service-Oriented Substation Wide-Area Operation ...

引用

2020 IEEE Sustainable Power and Energy Conference, iSPEC 2020

作者： Liang, Feng Liang, Xudong Yang, Shanglin Pan, Hongxiang NARI Group Corporation State Key Laboratory of Smart Grid Protection and Control R&D Department in NARI Technology Nanjing211106 China NARI Group Corporation RandD Department in NARI Technology Nanjing211106 China

ISBN: (纸本)9781728191645

The substation has the features of a large quantity and wide-area distribution. With the promotion of unattended mode, it has become increasingly difficult to adapt to the needs of smart grid development using traditional field-based automatic equipment operation and maintenance(OM) method. Meanwhile, there is a shortage of professional and technical personnel, and the OM technology of a large number of intelligent heterogeneous secondary equipment is complicated and challenging to maintain. Therefore, it is urgent to solve the problems of OM efficiency, timeliness and technical complexity of a large number of substations. Based on the service-oriented idea, this article has designed the overall structure of the trinity of service management center, OM center and OM substation. This paper also proposes a GSP-based service standardization interaction mechanism. Through Safety management and control process of OM service, OM advanced applications are designed to achieves the automation equipment specification, safe and reliable remote operation and maintenance. © 2020 IEEE.

关键词： Maintenance

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A Quick Generation Method for Power grid Graphs and Models in SCADA System

A Quick Generation Method for Power Grid Graphs and Models i...

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2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)

作者： Rongrong Cao NARI Technology Development Co. Ltd State Key Laboratory of Smart Grid Protection and Control

In the large power grid dispatching and control system, the unmanned substations bring a large amount of graph drawing and model input work to the automation maintenance personnel. The complicated work increases the error probability and hidden dangers, and it is difficult to adapt to the development of the large power grid. Therefore, it is very necessary to realize the quick generation method of power grid graphs and models in the large power grid dispatching and control system. This paper proposes a method for quick generation of graphs and models in SCADA system. This method is based on the design concept of object-oriented graph and model integration and realizes the quick generation of similar substations. This design has been used in real application widely and makes the maintenance of the automation system more conveniently, rapidly and accurately.

关键词： quick generation graph drawing model input graph and model integration

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Reactive Power and Voltage Coordinated control of Wind Farm for Parallel Running STATCOM

Reactive Power and Voltage Coordinated Control of Wind Farm ...

引用

2019 IEEE PES Innovative smart grid Technologies Asia, ISGT 2019

作者： Xu, Lufei Chen, Tianhua Yang, Luo Chen, Jianhua Du, Lei Zhong, Hailiang NARI Group Corporation State Grid Electric Power Research Institute Nanjing211106 China NARI Technology Co. Ltd. Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China State Grid Ningxia Electric Power Co. Ltd. Yinchuan750001 China

ISBN: (纸本)9781728135205

To solve the reactive power and voltage coordinated control of parallel running static synchronous compensator (STATCOM) in wind farm, a reactive power and voltage coordinated control strategy is proposed based on the united control mode of voltage control and reactive power control. The strategy makes full use of the control characteristics of STATCOM fast regulation and stable voltage, the voltage of the point of common coupling (PCC) connect with power system is quickly adjusted, and optimize the dynamic reactive power which reserve in wind farm. Finally, the wind farm in china wind power cluster area is taken as an example for practical application, the practical application results verify the correctness and effectiveness of the proposed control strategy. © 2019 IEEE.

关键词： Voltage control

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Best practices in China Southern Power grid competition of AI short-term load forecasting 12

Best practices in China Southern Power Grid competition of A...

引用

12th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2020

作者： Lu, Jixiang Qian, Junxia Zhang, Qipei Liu, Shaobo Xie, Feng Xu, Hongsheng State Key Laboratory of Smart Power Grid Protection and Control Nanjing China Jiangsu Keneng Electric Power Engineering Consultant Co. Ltd Nanjing China Technology Research Center Nari Group Corporation Nanjing China

ISBN: (纸本)9781728157481

China Southern Power grid (CSG) hosted a competition of AI short-term load forecasting with real-world load data in Sept 2019. NARI Technology was invited for the 10 days closed match and got the 2nd prize among 28 top players in China, such as research institutes, universities, and system suppliers. This paper highlights the best practices we did in the competition: feature selection of short-term load forecasting, outlier data preprocessing for both load data and meteorological data, multiple head long short term memory (LSTM) neural network innovation and data augmentation with the benchmark. opportunities for improvements are considered as well. © 2020 IEEE.

关键词： Long short-term memory

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Production simulation of power systems considering the forecast error of renewable energy

Production simulation of power systems considering the forec...

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2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016

作者： Kun, Ding Ningbo, Wang Xie, Haipeng Bie, Zhaohong Laboratory of Wind Power Integration Operation and Control Gansu Electric Power Corporation Wind Power Technology Center Lanzhou China State Key Lab. of Elec. Insulation and Pwr. Equip. and Smart Grid Key Laboratory of Shaanxi Province Xi'an Jiaotong University Xi'an China

ISBN: (纸本)9781509054183

A short-term stochastic production simulation method considering the forecast error of renewable sources power is proposed to focus on the issue that conventional production simulation method is incapable of depicting the forecast error of renewable sources power. The proposed method contains two hierarchies, i.e. the day-ahead simulation and the real-time simulation. As for day-ahead simulation, a day-ahead scheduling of conventional units and renewable energy plants is determined by solving a unit commitment model on the basis of forecasted renewable sources power and load profiles. Real-time simulation is the supplement to day-ahead simulation and it corrects the results in day-ahead simulation. The validity of the proposed method is proved with a real power grid in Northwest China. Case studies show that conventional units may be still the major resource of power grids although these installed capacity is no larger than renewable energy resources. Meanwhile, forecast errors actually impact reliability of power systems. © 2016 IEEE.

关键词： Renewable energy resources

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