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SSRN 2023年

作者： Shu, Hongchun Shao, Zongxue Zhao, Wei 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 Mechanical and Electrical Engineering Kunming University of Science and Technology Kunming650500 China

In order to suppress the continuous commutation failure of the line commutated converter (LCC) in the multi-infeed DC transmission system, the ability of the voltage commutated converter (VSC) in the hybrid multi-infeed DC transmission system to provide fast reactive power support is fully utilized, and a dynamic reactive power support coordination control strategy based on LCC current error controller and VSC constant AC voltage control is proposed. When the LCC experiences continuous commutation failure, the compensation amount of the extinction angle is closely related to the DC current error. The compensation amount of the extinction angle can be obtained according to the DC current error during the transient process. The reactive power support required by the LCC is calculated based on the compensated extinction angle, and the required reactive power support is prioritized to be added to the outer loop reactive power control of the VSC inverter side. By constructing a test system for doubly-fed DC transmission with flexible DC in PSCAD/EMTDC, the test results have confirmed the efficacy of the proposed dynamic reactive power coordination control strategy. The strategy has demonstrated a remarkable ability to enhance LCC's ability to suppress continuous commutation failure. © 2023, The Authors. All rights reserved.

关键词： Reactive power

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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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Impact of Generation Companies' Heterogeneous Investment Behaviors on the Effects of Non-fossil Energy Incentive Policies

Impact of Generation Companies' Heterogeneous Investment Beh...

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2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Cai, Bin Li, Tianran Wang, Kui Li, Zhiyuan Zhu, Lei Wen, Jun Xue, Yusheng Nari Group Corporation State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and Control Nanjing China Integrated Energy of Jiangsu Province Nanjing Normal University Nari School of Electrical and Automation Engineering Engineering Laboratory of Gas-Electricity Nanjing China China Huaneng Group Co. Ltd Beijing China

ISBN: (纸本)9781665414395

The incentive policies for non-fossil energy are important factors affecting the investment behavior of generation companies (GENCOs). However, the investment behavior of different types of GENCOs in the system could be quite different, so the implementation of the policy must consider how to achieve incentive compatibility with the investment behavior of GENCOs. This article constructs a power transition simulation model that considers the investment behavior of GENCOs. Taking the wind power feed-in tariff policy as an example, it analyzes the impact of policy on the whole system's low carbon transition pathway of the power structure and the evolution trajectory of system carbon emissions under different behavior scenarios. © 2021 IEEE.

关键词： Investments

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Fault diagnosis method for ship power-system DC–DC converter using augmented WPD and multi-branch CNN-BiLSTM network

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Journal of the Franklin Institute 2025年第9期362卷

作者： Ren, Yuanjie Zhang, Lanyong Shi, Peng Peng, Huimin College of Intelligent Systems Science and Engineering Harbin Engineering University Harbin150001 China School of Electrical and Mechanical Engineering The University of Adelaide SA5000 Australia State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing211106 China

Direct current (DC) –DC converters are indispensable energy conversion devices in medium-voltage DC power systems of ships. Herein, the fault diagnosis problem of bidirectional DC–DC converters is investigated. Considering that the fault diagnosis of bidirectional DC–DC converters requires the effective combination of information from multiple diagnostic signals and differences in characteristic data in different time scales, a parallel stacking of multiple branches based on enhanced wavelet packet decomposition technology is proposed as a hybrid model of a convolutional neural network and bidirectional long short-term memory network. First, a multi-input method is used to extract effective features in the sequence data. Second, a multi-model fusion processing framework is used to perform fault diagnosis analysis on the DC–DC converter. Finally, the squeeze and excitation attention mechanism is used to weight all types of fault features and adaptively obtain them. The important weights of the classification feature maps learned by different branches generate fault classification results. Experimental results reveal that the proposed method can extract highly discriminative features from raw data and exhibits robustness in noisy environments. © 2025 The Franklin Institute

关键词： Convolutional neural networks

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Automatic Generation Method of Multi-Bays Graph In Power System based on Real-time Topological Model

Automatic Generation Method of Multi-Bays Graph In Power Sys...

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作者： Yuan Gao LianJie Chen Peng Si YunGuang Su CaiShen Fang Hua Xu Kun Huang NARI Group Corporation(State Grid Electric Power Research Institute) NARI Technology Co. Ltd. NARI Group Corporation(State Grid Electric Power Research Institute) NARI Technology Co. Ltd.State Key Laboratory of Smart Grid Protection and Control

Substation supervisory control is an essential part of power grid monitoring system. Besides the power flow between substations, the running states of the devices in substations are important to the staff in power grid. At present, the substation devices with their running states are drawn in electrical bay graphs, which are widely used in the power grid dispatching department. Traditional electrical bay graphs contain devices in only one substation and the drawing process of the graph relies on manual work. In this paper, an automatic generation method of multi-bay graph in power system based on real-time topological model is proposed. There are two stages in the method. In the first stage, necessary model information is obtained according to topology in real-time database. In the second stage, the bay features are firstly built in the method and the classification of the bays is achieved by these ***, a data structure of device tree is proposed and the automatic layout of devices is realized based on the data structure. Finally, automatic wiring of the devices is achieved from the perspective of aesthetic and objectivity. Experimental results show that the graph drawn by the proposed method could not only reflect the actual connection mode and running states of the substation devices but also show the power flow between these substations. The proposed drawing method could reduce manual operations and improve the work efficiency of the power grid staff.

关键词： Multi-Bays Graph Device Tree Automatic Layout Automatic Wiring

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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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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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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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Optimal Scheduling of Thermoelectricity in Integrated Energy System Based on Waste Heat Recovery from Power to Gas and Flexible Thermoelectricity Ratio

Optimal Scheduling of Thermoelectricity in Integrated Energy...

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

作者： Dongmei Yang Yu Gao Qi Wang Yan Chen Yuchen Guo Meng Wang the State Key Laboratory of Smart Grid Protection and Operation Control Nari Technology Co. Ltd. Nanjing China School of Nari Electric and Automation Nanjing Normal University Nanjing China

Aiming at the anti-peak shaving characteristics of wind power and the problem of wind curtailment caused by the ‘fixing electricity by heat’ of CHP units, an optimal scheduling method in integrated energy systems based on waste heat recovery from power to gas(P2G) and flexible thermoelectricity ratio in CHP is proposed. First, the P2G energy coupling mechanism and the feasibility of P2G waste heat recovery and utilization are analyzed. P2G equipment is introduced into the system and the remaining heat is recycled and utilized to promote wind power grid-connected consumption. Then, the principle of flexible thermoelectric ratio adjustment of CHP is analyzed, so that CHP can adjust the thermoelectric ratio following the trend of wind power output and the energy supply pressure of electric heat load, so as to improve the wind power consumption capacity of the system. Finally, the optimal scheduling model of the integrated energy system is constructed with the goal of minimizing the daily operating cost. The simulation example shows that the proposed scheduling method optimizes the thermoelectric coupling relationship of the system, effectively improves the wind power absorption capacity of the system, and has good social and economic benefits.

关键词： Couplings Cogeneration Optimal scheduling System integration Wind power generation Waste heat Heat recovery

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Corrosion Detection in Transformers Based on Hierarchical Annotation 7th

Corrosion Detection in Transformers Based on Hierarchical An...

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7th International Conference on Artificial Intelligence and Security, ICAIS 2021

作者： Cao, Yong Zhou, Yinian Zhang, Zhao Wu, Wenjun Chen, Xihai Yang, Sha Zhang, Baili School of Computer Science and Engineering Southeast University Nanjing China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China Nari Group Corporation Nanjing China

ISBN: (纸本)9783030786083

Transformers are prone to metal corrosion due to long-term exposure in the external environment. It is necessary to detect corrosion in time to prolong their service life-time. Detecting metal corrosion based on deep learning is becoming a feasible method at present. However, because of the irregularity and detachability of metal corrosion, traditional annotation approach results in such problems as ambiguity and uncertainty in the annotating process. Thus, a novel hierarchical annotation approach is proposed in this paper. The rationale for this initiative is as follows: traditional annotation approach has been used to annotate a large area covering the range of corrosion, as long as the area is visually continuous and adjacent to the corrosion that cannot be clearly divided. The annotation result is recorded as training set A;secondly, in the annotating boxes from the first step, the areas with obvious and relatively independent features are re-annotated to form the second level of nested annotation. The annotation result is recorded as training set B. Finally, Faster R-CNN and YOLOv5 models were trained by A, B training sets respectively in the experiment. It can be concluded that the detection performance with hierarchical annotation approach proved better than traditional annotation approach for Faster R-CNN and YOLOv5 models. © 2021, Springer Nature Switzerland AG.

关键词： Object detection

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