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

共 549 条记录，以下是231-240 订阅

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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...

引用

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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An Energy Storage Scheduling Strategy Based on Computational Optimization Starting Point

An Energy Storage Scheduling Strategy Based on Computational...

引用

2022 Power System and Green Energy Conference, PSGEC 2022

作者： Wang, Shangxing Fan, Gaofeng Hong, Lucheng Chen, Zehua China Electric Power Research Institute State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems Beijing China State Grid Corporation of China Beijing China Southeast University Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment Nanjing China

ISBN: (数字)9781665499934

ISBN: (纸本)9781665499934

With a large number of new energy sources connected to the grid, the inverse peak characteristics of their power generation have brought great difficulties to the grid scheduling. In recent years, energy storage technology has gradually developed and matured, and its dual characteristics of charge and discharge provide a new solution to the problem of new energy consumption. However, the current peak load shifting scheduling problem for energy storage is mainly solved by intelligent optimization algorithm, which has the disadvantage of low solving efficiency and the risk of falling into a local optimal solution. Therefore, this paper proposes a novel scheduling strategy based on computational optimization starting point for energy storage, which can provide an appropriate iterative starting point for intelligent optimization algorithm through the preset process. Compared with the randomly generated starting point, the calculated starting point can make the objective function tend to the extreme value more quickly and stably. Finally, in the case studies part, a system with solar power generation was taken as the example. The energy storage peak load shifting optimization problem was solved by adopting the calculated starting point and the random generated starting point respectively, and the effectiveness of the proposed strategy is proved by comparing the test results. © 2022 IEEE.

关键词： Energy utilization

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Self-Healing smart grid system based on artificial neural network

Self-Healing smart grid system based on artificial neural ne...

引用

2017 IASTED International Conference on Modelling, Identification and control, MIC 2017

作者： Li, Chen Wei, Qi Jian, Shen Zhe, Hou 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 Hangzhou Xiao Shan China Power Supply Company China

ISBN: (纸本)9780889869882

In this paper, a novel logic decomposing method in self-healing smart grid system based on neural networks is presented and the theoretical fundamentals of the design are expounded. The proposed automatic smart grid topology search algorithm, which is based on artificial neural network (ANN), realizes the adaptive function of analyzing and updating the self-healing system logic in the grid automatically. Furthermore, the configuration design in a neural network mode makes the system have the parallel processing mechanism and the ability of learning and fault decision-making. The outlet of protection is transferred from the neural networks by adjusting the connecting weights. Therefore, the system can classify and recognize arbitrarily complex connecting mode and acting logic.

关键词： Neural networks

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Day-ahead optimal scheduling of integrated energy system with electric heat pump 3

Day-ahead optimal scheduling of integrated energy system wit...

引用

2019 3rd International Conference on Power and Energy Engineering, ICPEE 2019

作者： Zhang, Nianchu Wang, Qi Ni, Ming Li, Manli Zhang, Zheng 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. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Pumps

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Comprehensive Evaluation Index System and Method for Reactive Power Support Capability of Wind/Photovoltaic/Storage Power Stations 13

Comprehensive Evaluation Index System and Method for Reactiv...

引用

13th IEEE International Conference on CYBER Technology in Automation, control, and Intelligent Systems, CYBER 2023

作者： Fang, Jinyuan Hou, Kai Jiang, Yingwei Gao, Bingtuan Zhang, Guozhong Shi, Xuewei School of Electrical Engineering Southeast University Jiangsu Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanrui Group Co. Jiangsu Nanjing China State Grid Hebei Zhangjiakou Scenery Storage and Transmission New Energy Co. Ltd Hebei Zhangjiakou China

ISBN: (纸本)9798350315196

High proportion of renewable energy integrated into the power grid results in lower system inertia and deterioration of voltage characteristics. Understanding the reactive power support characteristics of wind/photovoltaic (PV) /storage power station is critical for achieving coordinated control of their reactive power. In this regard, the paper proposes a comprehensive evaluation index system that considers voltage, reactive power support, and reactive power control to evaluate the reactive power support capability of wind/photovoltaic/storage power station. To validate the effectiveness of the index system, this paper constructs a simulation scenario of a wind/photovoltaic/storage power station connected to the regional power grid and calculates the corresponding indices. The fuzzy membership function is used to normalize the indicators. The subjective and objective combination weighting method is used to assign values to the indicators, and the reactive power support capability ratings of each power station are calculated. Finally, the reactive power support capability of the wind/photovoltaic/storage power plant was analyzed in combination with simulation scenarios, and the effectiveness of the comprehensive evaluation index system and method was verified. © 2023 IEEE.

关键词： Deterioration

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NILT - Based Transient Traveling Wave Calculation Method for Lightning Stroke on Coupled Transmission Lines in DC Systems

NILT - Based Transient Traveling Wave Calculation Method for...

引用

IEEE International Conference on Power and Energy Systems (ICPES)

作者： Ziqiang Ouyang Zheng Yan Tonghua Wu Wei Dai Xindong Li Xiaofan Hou State Key Laboratory of Smart Grid Protection and Control (Nari Group Corporation) Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai Jiao Tong University Shanghai China State Key Laboratory of Smart Grid Protection and Control (Nari Group Corporation) Nanjing China

Overhead lines are the main way of power transmission in HVDC system. The fault traveling wave propagates along the line after lightning stroke, which may cause accidents. Fault identification and protection design rely on traveling wave analysis and calculation. The time domain solution of transmission line telegraph equations is complicated. Analysis in the complex frequency domain can reduce the computational difficulty. Firstly, this paper decouples the DC transmission line through phase-mode transformation and establishes the model. Then, the post-lightning boundary conditions are introduced and the calculation network is established. On this basis, it solves the expression of traveling wave based on nodal analysis method. Finally, with the numerical inverse Laplace transform, calculation results in complex frequency domain are converted into time domain. The proposed method can reflect the transient process after lightning stroke, which has engineering value for protection design.

关键词： Fault diagnosis Power transmission lines Frequency-domain analysis Simulation Lightning Voltage Transmission line theory

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Ultra-short-term wind speed forecasting method based on spatial and temporal correlation models

Ultra-short-term wind speed forecasting method based on spat...

引用

6th International Conference on Renewable Power Generation

作者： Zhou, Haiqiang Xue, Yusheng Guo, Jizhu Chen, Jiehui Energy and Electrical Engineering School Hohai University Nanjing Jiangsu Province211100 China NARI Group Corporation State Grid Electric Power Research Institute Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China

An ultra-short-term wind speed forecasting method based on spatial and temporal correlation models is proposed. Firstly, the temporal correlation model was studied. The generalised distance of wind speed time series is defined based on the dynamic time warping distance and correlation coefficient. Samples with similar wind dynamic patterns are classed into the same group. Time series in one group are depicted with a representative time series which is modelled by an autoregressive moving average (ARMA) model. For time series which cannot be classed to any of these groups, a special group was defined. It was modelled by artificial neural network (ANN). Secondly, the spatial correlation between the target wind farm and the reference wind farm was investigated with the meteorological data taking into consideration. The grey prediction method is utilised to predict the wind speed. Finally, the combined ultra-short-term wind speed forecasting method is proposed. It takes into account the inherent time correlation of the target wind speed and its spatial correlation with reference wind farm. The wind speed prediction of wind farms in northwest USA verifies the effectiveness and feasibility of the proposed method. © 2017 Institution of Engineering and Technology. All rights reserved.

关键词： Time series

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Improving Convergence of IEEE 1588v2 Protocol Using Clock Servo System

Improving Convergence of IEEE 1588v2 Protocol Using Clock Se...

引用

International Conference on Communications, Signal Processing, and Systems, CSPS 2018

作者： Gu, Weiwen Yu, Yue Tong, Heqin Gao, Qin Zhang, Zhijian Wang, Jian School of Electronic Science and Engineering Nanjing University 163 Xianlin Road NanjingJiangsu210023 China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation 19 Chengxin Road NanjingJiangsu211000 China

ISBN: (纸本)9789811362637

Precise time synchronization is widely used in several domains such as Internet of Things (IoT), communication industry, power system and so on. Among all-time synchronization protocols, IEEE 1588v2 Protocol has received extensive attention, due to its submicrosecond accuracy and high-cost performance. However, it is not great enough in the convergence performance of synchronization in software-only system. Therefore, the aim of this paper is to speed up the convergence by control the jitter in software-only system. There are several methods proposed to reduce the jitter brought by soft timestamp and nonreal-time operating system. We compare and analyze various methods and choose clock servo system to experiment. The results of experiments verify that the clock servo system reduces the convergence time and improves the synchronization accuracy to some extent. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Jitter

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