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China International Electrical and energy Conference (CIEEC)

作者： Xiuyu Yang Jian Peng Yuxuan Liu Gang Miu Guochao Zhang Zhengyin Zhu Key Laboratory of Modern Power System Simulation Control and New Green Energy Technology of Ministry of Education Northeast Electric Power University Jilin China State Grid Xinjiang Power Supply Company State Grid Urumqi Power Supply Company Urumqi City China State Grid Jilin Power Supply Company State Grid Jilin Power Supply Company Jilin China

ISBN: (数字)9798350359558

ISBN: (纸本)9798350359565

With the increase of renewable energy, the system frequency modulation ability is insufficient, and the relevant departments require that renewable energy should have the active support ability of power system frequency change. Long-term active load shedding to achieve frequency support will cause power generation loss and economic damage; if the maximum output of the wind turbine is taken as the active support task by the energy storage, the amount of energy storage required is large. Therefore, this paper proposes a coordinated optimal allocation method of wind power load shedding rate and energy storage capacity with the goal of frequency active support. From the economic point of view, the optimal allocation relationship between wind power load shedding rate and energy storage capacity allocation is analyzed to find the optimal setting of load shedding rate and energy storage capacity.

关键词： renewable energy sources Frequency modulation Costs Wind energy Load shedding Wind power generation Wind turbines

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Research on a New Integrated Device for Remote control of power Cable Testing and Cutting

Research on a New Integrated Device for Remote Control of Po...

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power system and New energy technology Innovation Forum (NPSIF), Boao New power system International Forum -

作者： Kangyangyong Cao Hongquan Xing Yilin Zhang Chuan Xue Feiyi Li Ziyang Gao State Grid Changchun Power Supply Company Changdian Group Cable Engineering Branch Changchun Jilin China Maintenance Department State Grid Changchun Power Supply Company Operation Changchun Jilin China Northeast Electric Power University engineering training and teaching center Jilin Jilin China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin Jilin China

ISBN: (数字)9798331504557

ISBN: (纸本)9798331504564

With the continuous improvement and development of urban power grid structures, it is inevitable that cable lines will need to be renovated and replaced. In the process of cable construction, the traditional cable cutting process involves independent operations, requiring a large amount of equipment and occupying a large area. Workers need to wear protective clothing when cutting, which is inflexible and inefficient. This approach is no longer adequate for the diverse and complex construction sites of today. To this end, a new type of integrated power cable cutting device is specially designed and developed, which combines testing and cutting, reducing the use of cable cutting tools. The newly developed circuit cutter is designed with features such as compact size, high structural strength, good cutting effect, strong adaptability, and remote control function. It can significantly improve the safety and convenience of cable cutting operations, which is of positive significance for improving construction quality and efficiency and ensuring the personal safety of operators.

关键词： Technological innovation power cables Protective clothing power system stability Reliability engineering power grids Safety power system reliability Remote control Testing

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Reliability Evaluation of a Regional Integrated energy system Based on Complex Network Theory

Reliability Evaluation of a Regional Integrated Energy Syste...

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2021 IEEE Sustainable power and energy Conference, iSPEC 2021

作者： Li, Jifeng Song, Kuizheng He, Xingtang Luo, Hao State Grid Liaoning Electric Power Supply Co. Ltd Dalian Electric Power Supply Company Dalian China State Grid Liaoning Electric Power Supply Co. Ltd Dispatching and Control Center Shenyang China Tianjin University Key Laboratory of the Ministry of Education on Smart Power Grids Tianjin China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Jilin China

ISBN: (纸本)9781665414395

Most of the methods currently used to evaluate the reliability of integrated energy supply mainly consider such systems on a microgrid scale and focus on the effects of interactions among various energy carriers on the overall energy supply reliability of the system. As a result, it is difficult to analyze the system reliability in terms of its topology. Therefore, this paper proposes an approach for evaluating the reliability of a regional integrated energy system based on complex network theory. First, the feasibility of complex network theory application was analyzed based on the structural framework of the regional integrated energy system. Then, a weighted complex network model containing network characteristics was constructed by improving the 'distance' parameter in the complex network theory. Employing this model enabled the proposal of reliability evaluation indices, including nodes and the entire system, from the perspective of the system network topology. Finally, the effectiveness and applicability of the developed method were verified by constructing a test system. The application of complex network theory for reliability evaluations of regional integrated energy systems described in this paper provides guidance for planning and constructing future systems at the level of topology reliability. © 2021 IEEE.

关键词： Complex networks

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A disturbance localization method for power system based on group sparse representation of compressed sensing

A disturbance localization method for power system based on ...

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Electrical Engineering, Big Data and Algorithms (EEBDA), IEEE International Conference on

作者： Zeyi Wang Mingxi Jiao Daliang Wang Minxu Liu Minglei Jiang He Wang Shiqiang Li Changchun Power Supply Company State Grid Jilin Electric Power Co. Ltd. Changchun China Economic and Technical Research Institute of State Grid Jilin Electric Power Co. Ltd. Changchun China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China

This paper proposes a new disturbance localization method for power system based on group sparse representation of compressed sensing. Based on the analysis of disturbance characteristics of power system, the sparse dictionary of compressed sensing group is constructed by the admittance matrix, impedance matrix, and power variation matrix. In addition, the traditional generalized orthogonal matching pursuit reconstruction algorithm is improved to obtain the group sparse coefficients corresponding to the above dictionaries for compressive sensing sparse reconstruction, and the corresponding weights of each class in the group sparse dictionary are determined based on the entropy weight method to realize the accurate location of power system disturbances. In this paper, the IEEE 39 node power systems are built on the PSCAD/EMTDC simulation platform for experimental verification, and three common disturbances of cutting generator capacity, cutting load capacity and single-phase grounding short circuit are analyzed respectively. The simulation results show that the proposed method can achieve the accurate location of common disturbances in power systems with limited measurement device configurations, and has the advantages of less computation and strong robustness to noise.

关键词： Location awareness Dictionaries simulation Reconstruction algorithms Entropy Robustness power systems

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Integrated Multi-Port Flexible Voltage Clamp Circuit Breaker with Dc Chopper Applied to the Receiving End of Mmc-Hvdc system

SSRN

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SSRN 2022年

作者： Li, Guoqing Song, Yuheng Bian, Jing Wang, Yanxu Yan, Kefei Li, Menghan Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University JL Jilin132012 China Baoding Power Supply Company of State Grid Jilin Electric Power Co. Ltd HB 071000 China

Given the wide application of DC grids, the relevant protection equipment of power grids must be improved during the fault period. This study proposes an integrated multiport flexible voltage clamp circuit breaker with a DC chopper, acting on the receiving end converter, which can solve the DC short circuit fault and surplus power because of a low voltage fault. As a DC circuit breaker, the branch outputs different levels of voltage by selecting different gears based on the rising trend of fault current. The voltage clamping principle and thyristor semi-control are used to remove the fault, and the voltage-clamped branch forms an LC oscillation circuit with the fault point, and the thyristors turn off when crossing zero. Then, using the flow direction of the capacitive current based on reclosing, turn on the reverse thyristors and determine the fault type. The number of input sub modules is changed by low-voltage level detection as a DC chopper to assist AC low-voltage fault ride through such that the voltage at both ends of the energy dissipation resistance changes, which can consume the surplus power from the sending end converter and minimize the impact of low-voltage fault on the power transmission capacity of the system. Finally, the validity and applicability of the three terminal DC network models in PSCAD/EMTDC is confirmed, and the two types of faults are analyzed. Through fault current, system voltage, branch voltage comparison, and AC side power transmission analysis, the equipment can replace multiple conventional circuit breakers and traditional energy-consuming equipment, further expanding the economy of the DC system. © 2022, The Authors. All rights reserved.

关键词： Electric circuit breakers

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A generation–load–storage flexible peak-shaving strategy considering silicon carbide high energy consumption load regulation and degradation of storage life

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Journal of energy Storage 2025年 129卷

作者： Dongfeng Yang Haonan Liu Xiaojun Liu Hui Wang Chao Jiang Chuchen Zhang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin 132012 Jilin Province China

In response to the dual challenges of controllable resource scarcity in power grids resulting from large-scale renewable energy integration and the absence of economic evaluation of energy storage in traditional dispatching frameworks, this study constructs a generation–load–storage collaborative flexible peak-shaving model. Its core innovation lies in coupling dynamic regulation of silicon carbide (SiC) high consumption of energy loads with lifetime degradation management mechanisms for energy storage systems. The research innovatively integrates SiC high consumption of energy loads into a multi-energy complementary coordinated dispatching framework, with a focus on analysing the thermodynamic boundary conditions (2000–2050 °C constant-temperature operational domain) and power-temperature multiphysical coupling characteristics of SiC crystal growth processes. A safety-constrained model for SiC smelting furnaces participating in grid peak-shaving is established, addressing critical thermal stability requirements. Concurrently, based on the Arrhenius equation and electrochemical mechanism analysis, this work systematically investigates the lifetime degradation patterns of energy storage systems. A refined lifetime decay model is developed, incorporating temperature effects, depth of discharge (DoD), and cycle frequency. The study analysis the exponential dependence of solid electrolyte interphase (SEI) film thickening rate on temperature, enabling precise integration of storage cost-effectiveness considerations into dispatching strategies. Case studies validated through the IEEE 30-node system demonstrate that the proposed model significantly increases the flexibility of SiC high energy consumption loads, enabling them to contribute more effectively to system peak shaving and grid stability, achieving 100 MW of upward capacity and 60 MW of downward capacity, while also effectively extending the operational lifespan of energy storage. The generation–load–storage combi

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Boosting Conversion Efficiency by Bandgap Engineering of Eco-Friendly Antimony Trisulfide Indoor Photovoltaics

SSRN

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SSRN 2024年

作者： Cao, Yu Li, Qiang Zhou, Jing Yu, Xiaoming Yu, Xuan Wang, Sanlong Li, Sen Pang, Jinbo Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China School of Electrical Engineering School of Chemical Engineering Northeast Electric Power University Jilin132012 China School of Marine Engineering Equipment Zhejiang Ocean University Zhejiang Zhoushan316022 China Zhengzhou University of Light Industry China University of Jinan Shandong Jinan250022 China

With the exponential growth of the Internet of Things (IoT), indoor photovoltaics (IPVs) drawing heightened interest due to their adaptability to indoor environments. The Photovoltaic Conversion Efficiency (PCE) of IPV cells is critically dependent on their ability to match the indoor spectrum with the device's response characteristics. In this realm, Antimony Trisulfide (Sb2S3) emerges as a promising candidate for low-light applications. Our study focuses on the design and optimization of Sb2S3 thin-film IPV cells, aiming to refine both the device structure and its photoelectric performance for effective indoor light harvesting. In a strategic shift from conventional CdS materials, we utilized SnO2 as the electron transport layer (ETL) in Sb2S3 IPV cells. This substitution notably enhanced the short-wave response, elevating the spectral response from 45% to 80% at 400 nm. Additionally, we introduced a bandgap-tunable ZnOS buffer layer. This innovation proved instrumental in rectifying the band alignment mismatch between SnO2 and Sb2S3 layers, thereby optimizing interfacial electron transport properties. The resulting optimized Sb2S3 thin-film IPV cell demonstrated exceptional response characteristics across the full visible spectrum (400–750 nm) and showed notable photoelectric performance under both fluorescent lamps (FLs) and light-emitting diodes (LEDs). The device achieved a peak theoretical efficiency of 46.25% under cold white FL lighting, a testament to the optimal match between the device structure and this specific emission power spectrum. This research not only underscores the feasibility of employing antimony (Sb) -based photovoltaic technologies in indoor settings but also offers theoretical guidance for further advancements in this domain. © 2024, The Authors. All rights reserved.

关键词： Antimony compounds

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Stackelberg game-based optimal scheduling of integrated energy systems considering differences in heat demand across multi-functional areas

arXiv

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arXiv 2022年

作者： Wang, Limeng Yang, Ranran Qu, Yang Xu, Chengzhe Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Nanyang Power Supply Company Nanyang473000 China State Grid Jilin Power Supply Company Changchun130000 China

Demand-side management is very critical in China's energy systems because of its high fossil energy consumption and low system energy efficiency. A building shape factor is introduced in describing the architectural characteristics of different functional areas, which are combined with the characteristics of the energy consumed by users to investigate the features of heating load in different functional areas. A Stackelberg game-based optimal scheduling model is proposed for electro-thermal integrated energy systems, which seeks to maximize the revenue of integrated energy operator (IEO) and minimize the cost of users. Here, IEO and users are the Stackelberg game leader and followers, respectively. The leader uses real-time energy prices to guide loads to participate in demand response, while the followers make energy plans based on price feedback. Using the Karush-Kuhn-Tucker (KKT) condition and the big-M method, the model is transformed into a mixed-integer quadratic programming (MIQP) problem, which is solved by using MATLAB and CPLEX software. The results demonstrate that the proposal manages to balance the interests of IEO and users. Furthermore, the heating loads of public and residential areas can be managed separately based on the differences in energy consumption and building shape characteristics, thereby improving the system operational flexibility and promoting renewable energy consumption. © 2022, CC BY-NC-ND.

关键词： MATLAB

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Visualization of CNN Transient Voltage Classification Based on Feature Recognition and Enhancement

Visualization of CNN Transient Voltage Classification Based ...

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Sustainable power and energy Conference (iSPEC)

作者： Zhendong Li Yutian Liu Jun An Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

ISBN: (纸本)9781665414401

The deep learning algorithm represented by CNN has achieved remarkable results in complex feature extraction, classification and regression. Since the CNN adopts an end-to-end training process, the carrier of acquisition knowledge is a high-dimensional non-linear function, which is hard to understand by humans. Therefore, it is difficult to be widely used in online decision-making engineering scenarios such as the fast assessment of power system transient voltage stability. In this paper, the key input elements extracted by CNN are identified by Grad-CAM, and the key features captured by CNN in the assessment process are enhanced based on AM, so as to finally obtain the visual expression of key areas and variables of the original input data. Besides, a sample construction method based on single line diagram is proposed to improve the visualization effect of Grad-CAM and AM. simulation results and analyses of IEEE 39bus test system demonstrates the effectiveness of the proposed method.

关键词： Training Visualization simulation Data visualization Voltage power system stability Feature extraction

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Probabilistic prediction of short term wind power considering temporal and spatial dependence of prediction error

Probabilistic prediction of short term wind power considerin...

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作者： Yong Sun Zhenyuan Li Chaoyu Shi Baoju Li Mao Yang State Grid Jilin Electric Power Supply Company Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University)

The short-term probabilistic prediction of wind power has the characteristics of spatial dependence and time-series *** the two characteristics at the same time can improve the prediction level. In this paper, a probabilistic short-term wind power prediction model considering the temporal and spatial dependence of prediction error is proposed. Considering the coupling relationship between the two properties, the NWP(Numerical Weather Prediction) wind speed point prediction error in the historical period is hierarchical clustering, and the empirical distribution model is used to fit the probability distribution of the error under different wind conditions;the cumulative empirical distribution probability value corresponding to the NWP wind speed at the time to be predicted is bootstrap sampling;under the given confidence level, the possible wind speed at each time point to be predicted in the short term is calculated The power fluctuation range of the generator. The test results show that this method can ensure the statistical significance and fitting stability of the sub sample set at the same time, and improve the classification accuracy of the days to be predicted. Compared with considering a single property, the result of probability prediction performs better on multiple evaluation indexes.

关键词： Probabilistic prediction of short term wind power considering temporal and spatial dependence of prediction error

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