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

共 368 条记录，以下是211-220 订阅

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Frequency Regulation Potential Evaluation of Temperature-controlled Load Aggregators Considering Demand Response Willingness

Frequency Regulation Potential Evaluation of Temperature-Con...

引用

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

作者： Jie Yu Jiaqi Yang Qia Ding Mengfu Tu Weixi Ji Electrical Engineering Southeast University Nanjing China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation(State Grid Electric Power Research Institute) Nanjing China

The frequency regulation potential of temperature-controlled load aggregators means that, the total load reduction that all the aggregated temperature-controlled load users can participate in the frequency regulation. User demand response willingness refers to the willingness of users to adjust electricity consumption according to the price of electricity sales to provide demand response based on their own demand response elasticity. This paper establishes a user demand response willingness model including two parts of electricity cost change and temperature change, which is used to characterize the relationship between user frequency regulation potential and electricity price; then proposes a time series chained two-dimensional cloud generator algorithm for the willingness model to predict the temperature-controlled load operating state in the temperature-controlled load, and finally establish a two-layer model to optimize the frequency regulation potential of the temperature-controlled load aggregator, with the frequency regulation potential as the solution variable. The effectiveness of the algorithm and the model are verified through calculation examples, and sensitivity analysis is carried out.

关键词： Electric potential Cloud computing Time series analysis System integration Predictive models Prediction algorithms Demand response

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A Top-k QoS-Optimal Service Composition Approach Under Dynamic Environment 7th

A Top-k QoS-Optimal Service Composition Approach Under Dynam...

引用

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

作者： Tian, Cheng Zhang, Zhao Yang, Sha Huang, Shuxin Sun, Han Wang, Jing Zhang, Baili School of Computer Science and Engineering Southeast University Nanjing211189 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China Nari Group Corporation Nanjing211106 China

ISBN: (纸本)9783030786083

To deal with low efficiency of existing Web service composition algorithms under dynamic environment, this paper proposes a Top-k QoS-optimal service composition algorithm based on QWSC-K static algorithm. The algorithm first considers the influence of dynamic environment on the existing service composition and service dependency graph, and classifies the changed services in dynamic environment. Moreover, different strategies are adopted to obtain the intermediate results of service composition for different categories of services. The influence of different service categories on the service dependency graph is analyzed to realize the updating of the service dependency graph. Finally, based on the updated service dependency graph and the intermediate results of the service composition, the adaptive incremental update can be applied to change the original service composition results, avoiding the time-consuming re-query process. Experiments show that the algorithm is efficient and accurate in dynamic environment. © 2021, Springer Nature Switzerland AG.

关键词： Quality of service

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Real Time Monitoring Method of Comprehensive Energy Consumption Based on Data Mining Algorithm

Real Time Monitoring Method of Comprehensive Energy Consumpt...

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作者： Qian, Gang Tang, Chenghong Meng, Yao Qi, Xiaomin Wang, Jingtao Zhou, Jing State Grid Shaoxing Power Supply Company Zhejiang Shaoxing312099 China State Grid Electric Power Research Institute Nanjing211106 China Nari Technology Development Limited Company Nanjing211106 China State Key Laboratory of Smart Grid Protection and Operation Control Nanjing211106 China China Electric Power Planning and Engineering Institute Beijing100120 China Beijing Nari Digital Technology Co. Ltd. Beijing100085 China

With the expansion of data centers, total consumption is growing exponentially. The center is faced with problems such as reducing power consumption, reducing costs and improving resource utilization. Reducing energy costs through monitoring is an important means of energy conservation in data centers. In recent years, more and more real-time energy consumption data are stored on the energy consumption management platform. There is a wealth of knowledge hidden in the energy consumption data in recent years. A large amount of data simplifies the traditional methods, and data mining methods have achieved good results in many fields. Therefore, it is of great significance to study a new energy consumption monitoring system and introduce data mining method into the system. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Energy utilization

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Reliability Evaluation of Electronic Cabin Smoke Detector Based on FMEA and Arrhenius Mode 12

Reliability Evaluation of Electronic Cabin Smoke Detector Ba...

引用

12th IEEE Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021

作者： Sul, Yan Liang, Xuerui Wen, Tan Civil Aviation College Nanjing University Of Aeronautics And Astronautics China State Key Laboratory Of Smart Grid Protection And Control Nanjing China Civil Aviation College Nanjing University Of Aeronautics And Astronautics Nanjing China

ISBN: (纸本)9781665401302

The high reliability of smoke detectors in the electronic cabin of passenger aircraft is of great significance for reducing the false alarm rate of smoke detection and ensuring the safety of passenger aircraft and passengers. In order to analyze and evaluate the reliability of newly developed smoke detectors, a set of reliability evaluation methods for electronic cabin smoke detectors based on FMEA (failure mode and impact analysis) and Arrhenius models are presented. First of all, based on the principle of the system, the FMEA method is used to analyze and determine the potential failure location, potential failure mode and failure reason of the smoke detector. Then, the RPN (Risk Coefficient) evaluation method based on the expert scoring method determines the priority ranking of failure risks, establishes risk evaluation indicators, conducts risk evaluation on failure modes, and determines high-risk stresses. Finally, for the high-risk stress, a life prediction of the smoke detector in the electronic cabin based on the Arrhenius model is established. The feasibility and effectiveness of the above reliability evaluation method are verified and analyzed by taking a smoke detector in the electronic cabin of a certain type of passenger aircraft as an example. © 2021 IEEE.

关键词： Risk assessment

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Study on the corresponding relationship between critical points of P-V Curve and V-Q curve of simple thevenin equivalent system 1

Study on the corresponding relationship between critical poi...

引用

1st IEEE China International Youth Conference on Electrical Engineering, CIYCEE 2020

作者： Li, Xuan Li, Zhaowei Guan, Linlin Wu, Xuelian Mei, Yan Li, Jun State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and Operation Control Nanjing211106 China

ISBN: (纸本)9781728196596

With the further increase in power demand for highly concentrated load centers and the gradual formation of a power system with a high proportion of new energy sources, China will face severe risk of voltage instability. In this paper, firstly, the load bus voltage equation of simple Thevenin equivalent system is derived, and then the P-V and V-Q curves are obtained respectively. Secondly, the mutual restriction relationship between active and reactive power of load is discussed when there is a real value solution to the voltage. Finally, the relationship between the voltage of critical points of the P-V curves and the reactive power of the load, and the relationship between the voltage of critical points of the V-Q curves and the active power of the load are deduced respectively. The relationship of one-to-one correspondence between critical points of P-V curves and critical points of V-Q curves is proved according to the mutual restriction between active power and reactive power of load and monotonicity of critical voltage and load power function. © 2020 IEEE.

关键词： Reactive power

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Analysis on Differential protection Sensitivity of Traction Transformers Based on Different Conversion Modes

Analysis on Differential Protection Sensitivity of Traction ...

引用

2020 International Symposium on New Energy and Electrical Technology, ISNEET 2020

作者： Xiaobao, Liu Yuping, Zheng Feng, Long Tonghua, Wu Shuyan, Pan Lin, An State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing Jiangsu211106 China

With the rapid development of high-speed rail technology in China, the traction transformers of various types have been used more and more extensively. The differential protection of traction transformers has different differential conversion modes [1-2] which are different in their sensitivities. In this paper, taking the YNV traction transformer as an example, by comparing the sensitivities of two different common differential conversion modes and through analysis, it shows that the sensitivities of differential protection are slightly different. The sensitivities of differential protections based on different principles depend on the retention degree of differential current to the positive sequence, negative sequence and zero sequence components in the internal fault current. The sensitivity of phase current minus zero sequence differential is the highest when single-phase grounded, which completely retains all the sequence components in the internal fault current. The sensitivity of interphase differential protection is the highest when interphase fault occurs. The widely used phase current differential and phase current minus zero sequence differential do not reflect the zero-sequence component of internal fault current, which provides the basis for field fault analysis and setting. © Published under licence by IOP Publishing Ltd.

关键词： Electric grounding

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Metallic Short Circuit Fault Location Algorithm Considering Capacitance Current based on Differential Equation

Metallic Short Circuit Fault Location Algorithm Considering ...

引用

International Conference on Power System Technology (POWERCON)

作者： Huirong Liu Yuping Zheng Tonghua Wu Feng Hong Wei Dai Xindong Li State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation Nanjing China

ISBN: (纸本)9781665407380

Capacitance current has significant effect on long-distance fault of high-voltage transmission line, and the current single-ended quantity location algorithm can hardly eliminate the effect of capacitance current under the power frequency. To reduce capacitance current’s effect on location algorithm, this paper builds metallic grounding fault model based on RLC type circuit, takes fault location as the unknown variable, builds a mathematical location model within time domain applicable for taking account of capacitance current, and obtains the quadratic equation with one unknown for fault location. Then it substitutes the two independent variables for the linear term and quadratic term, solves independent variables through linear equation, and proves the solution exists and is unique. Then under analysis on the same difference error, it compares magnitude of error generated during calculation of the two independent variables, it corrects difference error first, and inversely solves fault location by selecting the numerically disturbed smaller independent variable. Simulation results indicate the algorithm can accurately take account of effect of capacitance current under different metallic fault conditions, and solve fault location in a stable and accurate manner.

关键词： Time-frequency analysis Power transmission lines Simulation RLC circuits Fault location Capacitance Mathematical models

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

Comprehensive Evaluation Index System and Method for Reactiv...

引用

IEEE International Conference on Cyber Technology in Automation, control, and Intelligent Systems

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

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.

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A Simplified Matching Algorithm of the Carbon Neutrality Path for the Industry Zones

A Simplified Matching Algorithm of the Carbon Neutrality Pat...

引用

IEEE Innovative smart grid Technologies - Asia (ISGT Asia)

作者： Jingqi Jin Nan Li Yening Lai Jie Huang Xuetong Chen State Key Laboratory of Smart Grid Protection and Control NARI Technology Co. Ltd. Nanjing China State Grid Qinghai Electric Power Company Economic and Technological Research Institute Xining China

ISBN: (纸本)9798350399677

After the carbon peaking and carbon neutrality goals were determined, industrial zones with high energy consumption began investigating their own carbon emission paths and formulating carbon emission reduction strategies. According to the zone's carbon emission projections, a reasonable estimate of the long-term carbon neutrality curve can be made, which has significant research implications for describing the carbon emission path and formulating carbon emission reduction measures. This paper uses the modified Kaya identity to build a model of the zone's carbon emissions. It proposes an algorithm for the zone's carbon-neutrality path matching the carbon peak path and determines the carbon emission peak year and carbon budget of the zone for achieving carbon peaking and carbon neutrality goals.

关键词： Industries Energy consumption Asia Carbon neutral smart grids

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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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