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

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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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Short-Term Power Forecasting for Wind Power Generation Under Extreme Weather Conditions

Short-Term Power Forecasting for Wind Power Generation Under...

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IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)

作者： Yuexin Song Yizhi Chen Chenghong Tang Wei Wang Hao Xiao Wei Pei Yanhong Yang Grid Technology Research Group Institute of Electrical Engineering Chinese Academy of Sciences Beijing China State Key Laboratory of Smart Grid Protection and Control NARI Technology Co. Ltd NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing China Chinese Academy of Sciences Institute of Electrical Engineering Beijing China

Extreme weather poses a great challenge to the safe operation of wind power and new power systems dominated by wind power. Providing accurate wind power prediction will be an effective response. For this reason, this paper proposed a short-term power forecasting for wind power generation under extreme weather conditions. Firstly, the relationship between wind speed and wind turbine output power is analyzed and a wind power generation model is established. Then, the Long Short-Term Memory Neural Network (LSTM) is applied to construct a short-term power prediction model for wind turbines, and establishes three models for wind turbine decommissioning under extreme weather. Moreover, the climbing control strategy of wind turbine is also investigated to guarantee the system safety, stability and operation economy. Finally, the numerical analysis is carried out on the wind farm consists of 28 wind turbines, the results verify the effectiveness and superiority of the proposed method.

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Scheme for Turn-to-Turn Fault protection of Stepped controllable Shunt Reactor control Winding 5th

Scheme for Turn-to-Turn Fault Protection of Stepped Controll...

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International Top-Level Forum on Engineering Science and Technology Development Strategy and 5th PURPLE MOUNTAIN FORUM on smart grid protection and control, PMF2020

作者： Zhu, Liwei Wu, Tonghua Dai, Wei Zhang, Kunxian Zhu, Xiang Ni, Saisai State Key Laboratory of Smart Grid Protection and Control Nanjing Jiangsu211106 China Nari Group Corporation Nanjing Jiangsu211106 China NARI School of Electrical and Automation Engineering Nanjing Normal University Nanjing Jiangsu210023 China State Grid Gansu Electric Power Company Lanzhou Gansu730000 China Electric Power Research Institute of State Grid Gansu Electric Power Company Lanzhou Gansu730000 China

ISBN: (纸本)9789811597459

This paper analyzes the negative-sequence network diagram of stepped controllable shunt reactor (SCSR) in case of turn-to-turn short-circuit fault and turn-to-ground fault of the SCSR control winding, as well as the line fault out of the SCSR area and open-phase running of the system based on the "T"-type equivalent circuit, thus deducing the discriminant of the negative-sequence power direction. The paper also configures the negative-sequence power directional protection for the SCSR control winding and derives the relationship of negative-sequence current between line side winding and control winding. The occurrence of fault is identified by the negative-sequence current of the control winding and the position of fault is determined by the negative-sequence power direction angle. For small turn-to-turn fault, the paper proposes a negative-sequence current amplitude adaptive starting threshold detection method based on the capacity to determine the starting threshold of the negative-sequence current. It also puts forward a negative-sequence phase angle smoothing method based on the dynamic mean to deal with the large phase angle fluctuations of the negative-sequence voltage during the small turn-to-turn short-circuit. The simulation results verify that the method can judge the turn-to-turn fault of the SCSR control winding reliably and effectively. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Equivalent circuits

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Review of cyber physical system and cyber attack modeling 12

Review of cyber physical system and cyber attack modeling

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

作者： Fan, Haofei Ni, Ming Zhao, Lili Li, Manli State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nari Technology Co. Ltd Nanjing China

ISBN: (纸本)9781728157481

Cyber Physics Systems consists of physical systems and information systems. Modern power systems are increasingly dependent on information systems, experts and scholars are paying more and more attention to cyber attacks on CPS. This paper first introduces the existing research on cyber physical power system. Then this paper reviews the current status of existing cyber attacks. Finally, the modeling method for CPS is summarized such as correlation characteristic matrix, graph theory, complex network theory, finite state machine, mathematical programming and cellular automata method. These methods have vital theoretical and practical significance for the research of cyber physical power system. © 2020 IEEE.

关键词： Graph theory

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Large generator rotor distortion sensing monitoring technology research 7

Large generator rotor distortion sensing monitoring technolo...

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7th International Forum on Electrical Engineering and Automation, IFEEA 2020

作者： Shaoliang, Zhou Li, Chen Jian, Shen Jianping, Sun State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation State Grid Electric Power Research Institute Co. Ltd Nanjing China

ISBN: (纸本)9781728196275

In view of the shortage of direct measurement method for shafting of large generator sets, this paper proposes a sensor monitoring technology based on illumination emphasis. The article first introduces the research status of the shaft torque of thermal power units, and expounds the theory of mode interference and the theory of twist sensing. Then, the LP mode simulation of single-mode fiber and two-mode fiber is carried out, which is an effective method for symmetrical higher-order mode. Finally, the simulation of the mode interferometer, the spectrum and the phase during twisting is carried out. It is clarified that the non-circular symmetrical mode with π phase difference electric field distribution is the key inducement of the interferometric phase jump and spectrum flipping in twisting measurement. This article provides theoretical guidance for subsequent device fabrication and spectral distortion analysis. © 2020 IEEE.

关键词： Single mode fibers

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A Hybrid Simulation Study of the Herding Behavior Effects in the China National Carbon Market

A Hybrid Simulation Study of the Herding Behavior Effects in...

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

作者： Xuetong Chen Jie Huang Shuai Jin Yifei Zhang HengYu Ling State Key Laboratory of Smart Grid Protection and Control NARI Technology Co. Ltd. Nanjing China

ISBN: (纸本)9781665434263

Mitigating climate change is a global consensus. China is aiming to have carbon emissions peak before 2030 and achieve carbon neutrality before 2060. The China national carbon market is one of the key measures to achieve this ambitious “30•60” target. Compliance enterprises, financial institutions, and individual investors are allowed to participate in the national carbon market and the complex trading interactions among these heterogeneous participants will make the market dynamics difficult to predict and analyze, bringing challenges to market design and regulations. Guided by the framework of cyber-physical-social system in energy (CPSSE), this paper constructs a hybrid simulation environment based on the Dynamic Simulation platform for Macro-Energy Systems (DSMES), in order to study the herding behavior effects on carbon market under different scenario settings. The behavior models of different carbon traders such as compliance enterprises, offset developers and financial institutions are analyzed and constructed. Then, the herding behavior effects are studied under different market scenario settings such as the supply of carbon emission allowance (CEA) and carbon offset credits (COC). Finally, key insights are discussed based on multi-scenario case studies, which provide decision support for market design and regulation.

关键词： Climate change Analytical models Atmospheric measurements Conferences Carbon dioxide System integration Particle measurements

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Waveform Design for MIMO-OFDM Based Dual-functional Radar and Communication Systems

Waveform Design for MIMO-OFDM Based Dual-functional Radar an...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Tianchen Liu Liang Wu Zaichen Zhang Jian Dang Bingcheng Zhu Yin Yao Liu Dongsheng National Mobile Communications Research Laboratory Southeast University Nanjing P.R.China Purple Mountain Laboratory Nanjing P.R.China State Key Laboratory of Smart Grid Protection and Control NARI Group Co. Ltd Nanjing China

ISBN: (纸本)9781665450867

Dual-functional radar-communications (DFRC) technique has attracted substantial attention. The radiation power of radar system is usually very high, and it is usually not afforded by the communication receiver. To solve this problem, this paper proposes a waveform design scheme for the DFRC system based on multiple-input and multiple-output (MIMO) and orthogonal frequency division multiplexing (OFDM) techniques. In the proposed scheme, a convex optimization problem is firstly formulated to derive the optimal covariance matrix of the transmit signals. Based on the optimal covariance matrix, a subcarrier and power allocation scheme is proposed to meet the power requirement of the DFRC system. Simulation results show that compared with the traditional OFDM based DFRC scheme, the proposed scheme can achieve almost the same target detection performance, and a much higher achievable data rate. Meanwhile, the proposed scheme can guarantee that the power radiated in the communication direction satisfies the communication power requirement.

关键词： Wireless communication OFDM Simulation Radar Receivers Object detection Convex functions

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A Measurement Method for Wide-frequency Harmonic Signal in Power grid Based on Window Interpolation FFT and RLS-Adaline Neural Network 2

A Measurement Method for Wide-frequency Harmonic Signal in P...

引用

2021 2nd International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2021

作者： Peng, Jiawei Pan, Shuguo Wang, Wenxiu Zhang, Min Shen, Jian Gao, Wang Xia, Chenglin School of Instrument Science and Engineering Southeast University Jiangsu Nanjing210096 China School of Electronic and Information Engineering Jinling Institute of Technology Jiangsu Nanjing211169 China Nari Technology Co. Ltd Jiangsu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China

With the increase of non-linear loads in power grid and the development of power electronics, the growing serious harmonic pollution has put forward higher requirements for the accuracy and real-time performance of the measurement method. For this problem, this paper proposes a wide-frequency harmonic signal measurement method based on window interpolation FFT and adaptive neural network. After the window function is selected, the frequency of harmonic is estimated by double-spectrum-line interpolation algorithm based on three-term third derivative Nuttall window, and then the smoothed frequencies are input into RLS-Adaline neural network to estimate the amplitude and phase of each harmonic. The simulation results show that the proposed method has higher measurement accuracy and stability under few data conditions and low signal-to-noise ratios than conventional window interpolation algorithms. High accuracy measurement of harmonics with short time window in the range of 0∼2.5kHz is effectively realized. © Published under licence by IOP Publishing Ltd.

关键词： Fast Fourier transforms

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An Assessment Method of Carbon Emission Reduction Additionality in grid Dispatching Model

An Assessment Method of Carbon Emission Reduction Additional...

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

作者： Yening Lai Xuetong Chen Jie Huang Shuai Jin State Key Laboratory of Smart Grid Protection and Control NARI Technology Co. Ltd. Nanjing China

ISBN: (纸本)9781665434263

Achieving the national goal of “carbon peak, carbon neutral” is a complex and challenging task. The carbon emission of the power industry accounts for nearly 40% of the total carbon emission, so the task of reducing emissions is heavy. However, carbon emission reduction in the power industry requires the joint effort of all segments of power generation, transmission, distribution, and consumption. It should be noted that the contribution of scientific assessment of carbon emission reduction in each segment is essential. This paper proposes a framework for assessing the carbon emission reduction additionality of subjects in every link of the power system. The proposed framework identifies the carbon emission reduction additionality of each link of power production, transmission, and consumption by comparing the carbon emission reduction benefits of a given measure with the intervention of the measure. In the evaluation framework, a multi-dispatching scenario evaluation method based on AC optimal power flow (AC OPF) is proposed to evaluate the carbon emission reduction benefits of the power grid under the clean-energy-consumption dispatching and network-1oss-minimization dispatching modes. The proposed method examines different transmission power scenarios of a new energy outgoing ultra-high voltage line and analyzes the carbon emission reduction additionality of the power grid. Finally, the feasibility of the proposed method is verified by simulations using a provincial power grid as a case study.

关键词： Power measurement Carbon dioxide System integration Production Transmission line measurements Power grids Dispatching

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An Intelligent Indoor Localization System in the NLOS Environment Based on Deep Learning and CSI Images

An Intelligent Indoor Localization System in the NLOS Enviro...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Lu Sun Liang Wu Zaichen Zhang Jian Dang Yulong Shen Gefeng Huang Liliang Ding National Mobile Communications Research Laboratory Southeast University Nanjing P.R.China Purple Mountain Laboratory Nanjing P.R.China State Key Laboratory of Smart Grid Protection and Control NARI Group Co. Ltd Nanjing China

ISBN: (纸本)9781665450867

With the rapid development of the smart service industry, indoor high-precision localization technology in the non-line-of-sight (NLOS) environment has attracted great interest. Fingerprint-based indoor localization has been widely employed due to its low hardware cost and high localization accuracy. In this paper, we propose an indoor intelligent localization system based on a 2-dimensional deep convolutional neural network (2D DCNN) and image fingerprints extracted from the channel state information (CSI). Simulation results show that the proposed localization system can achieve a high localization accuracy in the NLOS environment.

关键词： Location awareness Deep learning Wireless communication Simulation Signal processing algorithms Fingerprint recognition Signal processing

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