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12th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2020

作者： Zheng, Yu-Ping Zhang, Zhen-Ya Wu, Chong-Hao Pan, Shu-Yan Li, Zhou NARI Technology Co. Ltd State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China

ISBN: (纸本)9781728170817

Inrush current occurrence in the power transformers is an unavoidable event that can happen due to energizing no-load transformer. Although various protection methods based on the terminal current and/or voltage have been proposed for transformer protection, the protection malfunction caused by the inrush current still occurs occasionally. In this paper, By comparing different closing angles of transformers with normal condition and differences in leakage flux near the yoke, a simple and accurate method is presented to identify transformer inrush current conditions. The change of the flux density on the leakage flux sensor can effectively identify the transformer inrush current. This identification method has been initially verified in the simulation in Maxwell. © 2020 IEEE.

关键词： Power transformers

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Electric vehicle identification and demand response capability assessment based on non-intrusive monitoring 5

Electric vehicle identification and demand response capabili...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Deng, Jiewen Wang, Jiarui Liu, Yu Wang, Yi Nanjing China Southeast University School of Electrical Engineering Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

The current rapid development and large number of applications of electric vehicles make it necessary to further strengthen the research on the state sensing and demand responsiveness of electric vehicles for residential measurements. Based on the non-intrusive load monitoring technology and deep learning algorithm, the user's power data is processed to obtain the start and end time of possible EV charging behavior, and then the user's power magnitude data and the obtained possible charging start and end time data are used as the input data of BP neural network to identify the EV charging behavior and establish the load sensing model of residential EVs. Based on the load perception model of electric vehicles, we identify the electric load data of residential measurement, obtain the charging status information such as power and electricity of electric vehicles of users, and use the status information as the data base to evaluate the demand response capability of residential measurement electric vehicles. Finally, the simulation modeling of the above method shows that the method can identify the charging status of electric vehicles more accurately and effectively evaluate the ability of residential measurement electric vehicles to participate in demand response. © 2022 IEEE.

关键词： Electric vehicles

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Quantitative Intelligent Evaluation of Transient Power Angle Stability based on Cluster Grouping

Quantitative Intelligent Evaluation of Transient Power Angle...

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2022 Power System and Green Energy Conference, PSGEC 2022

作者： Ren, Xiancheng Xu, Taishan Zhang, Yin Bao, Yanhong Wu, Feng Zhang, Jinlong State Key Laboratory of Smart Grid Protection and Control Nari Technology Co. Ltd. Nanjing China

ISBN: (数字)9781665499934

ISBN: (纸本)9781665499934

Aiming at the problem that it is difficult to achieve the quantitative evaluation of transient power angle stability based on artificial intelligence, a quantitative intelligent evaluation method of transient power angle stability based on cluster grouping is proposed. Firstly, the key features of transient power angle stability are selected by the method of comprehensive physical mechanism and data mining. According to the difference requirement parameters of the key features of the train samples, the similar samples are minimized and clustered into groups. The center sample of each group is determined based on the comprehensive minimum of the stable mode difference index. Based on each group of center samples, a transient power angle stability margin estimation model is established and parameters are optimized by linear programming. Determine the effective group to which the new mode belongs by the effective mode distance of each group of samples. Use the model corresponding to each effective group to estimate the margin of the new mode, and take the minimum value of the estimated margin of all effective groups as the estimated value of the transient stability margin of the new mode to realize quantitative intelligent evaluation of transient power angle stability. The effectiveness of the proposed method is verified by an example of power grid. © 2022 IEEE.

关键词： Transients

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A Practical Method for Generating Day-Ahead Output Probabilistic Scenarios of Multiple Wind Farms Based on K-Shape Clustering 13

A Practical Method for Generating Day-Ahead Output Probabili...

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13th International Conference on Power and Energy Systems, ICPES 2023

作者： Bo, Lin Xu, Taishan Tu, Mengfu Lu, Jinjun Nari Group Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9798350345063

The volatility and uncertainty of wind power bring severe challenges to the power system, and the modeling of multi-wind farm output scenarios considering the uncertainty of wind power is of great significance in power system dispatching decision-making. Especially for area/ province with abundant wind power resources, where the reliability of the dispatching plan can be strongly affected by the volatility of large amount of wind power. In this paper, a practical method of generating probabilistic scenarios for day-ahead wind power output is proposed for provincial power grid with high proportion of wind power. Firstly, the K-Shape clustering algorithm is used to cluster the wind farm stations, and then the output scenario are generated by using the total wind power forecast value and forecast error probability distribution characteristics of each aggregated station. After arrangement and combination of the aggregated stations' scenes, the scenario minimization based on probability distance was conducted for clustering reduction to obtain the typical output scenes, and then the typical output scenes were assigned to each station according to the forecast value of the station to obtain the probability output scenes of each station. It is verified by actual power grid data that the scenarios generated by this method can combine with wind power predictions to well depict the random fluctuation of multi-wind farms output and has a good application prospect in the practice of day-ahead dispatching decision making. © 2023 IEEE.

关键词： Stochastic programming

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Non-intrusive load perception and flexibility evaluation for electric vehicle charging station: a deep learning based approach 5

Non-intrusive load perception and flexibility evaluation for...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Wang, Jiarui Deng, Jiewen Liu, Yu Wang, Yi China Southeast University School of Electrical Engineering Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

Electric vehicles have the advantages of zero carbon emission, high energy efficiency and simple structure, and have been widely used today. Under the control of V2G, electric vehicles can be used as loads and distributed power sources, and become participants in the operation of auxiliary systems. Aiming at how to evaluate the load states and controllability of electric vehicle charging stations, this paper proposes a load sensing method for electric vehicle charging stations based on unsupervised learning and non-intrusive load monitoring. The proposed load sensing method firstly establishes the load sensing model according to the unsupervised learning strategy, and then uses the neural network model of the supervised learning strategy to evaluate the available regulation capability, so as to realize the load perception and regulation capability evaluation of the electric vehicle charging station. Through the verification of simulation data, it is proved that the proposed method has good performance in the evaluation of load perception and controllability of electric vehicle charging stations, which provides a feasible solution to the practical implementation of auxiliary responses by electric vehicles. © 2022 IEEE.

关键词： Electric vehicles

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A Day-ahead Scheduling Strategy for Electric vehicles Based on Converted Economical Objective 5

A Day-ahead Scheduling Strategy for Electric vehicles Based ...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Bai, Chenhui Wang, Jiarui Deng, Jiewen Liu, Yu Wang, Yi State Key Laboratory of Smart Grid Protection and Control China School of Electrical Engineering Southeast University Nanjing China Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

In recent years, with the rapid development of electric vehicles (EVs), the connection of a large number of EVs to the power grid has adversely affected the economic operation and system stability of the power grid. Therefore, research on the effective dispatch of EVs is of great significance. This paper proposes a day-ahead scheduling strategy for EVs based on converted economical objective, which makes full use of the flexibility of EV loads, takes into account the interests of the grid side and the user side, and reduces the negative impact of EVs connected to the grid. For the limitation of the objective function with the smallest variance, objective function converts the technical index of grid load peak-to-valley difference into an economic index with the smallest charging cost for users, and uses CPLEX to solve the day-ahead scheduling model of small-scale fast charging stations. The calculation example shows that this strategy can effectively reduce the peak-to-valley difference of grid load, which proves the rationality of the strategy. © 2022 IEEE.

关键词： Electric vehicles

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Comparison and improvement of key feature selection methods for intelligent assessment of transient power angle stability 5

Comparison and improvement of key feature selection methods ...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Zhang, Yin Xu, Taishan Ren, Xiancheng Bao, Yanhong Wu, Feng Zhang, Jinlong Nari Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

key feature selection is of great significance for intelligent assessment of transient power angle stability of power system. This paper proposes a key feature selection method for improved Relief. Through analyzing and comparing the applicability of correlation coefficient, mutual information and Relief, three representative key feature selection methods, in the intelligent assessment of transient angle stability of power system, the applicability of Relief is better. The Relief index reflects the strength of the feature to classify transient power angle stability and instability. By eliminating redundancy and increasing the weight of unstable samples, the accuracy of index calculation and the ability to adapt to sample imbalance are improved. Based on improved Relief, feature is selected by iterative optimization, which can automatically screen out the optimal key feature set. The effectiveness of the method is verified by an example of power grid. © 2022 IEEE.

关键词： Transients

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Power System Operation Mode Generalization and Stability control Strategy Modification Based on Data-Driven Method 5

Power System Operation Mode Generalization and Stability Con...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Yuan, Huling Liu, Panpan Tai, Wei State Key Laboratory of Smart Grid Protection and Control System Protection Laboratory Nari Technology Co. Ltd. Nanjing China Nanjing Dongbo Smart Energy Research Institute Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

The power grid operating mode will grow more complicated and diversified as power grid structure becomes more complex, as does the high share of renewable energy and the rising permeability of power electronic equipment. As a result, evaluation and analysis methodologies designed for ordinary operating modes will not be able to fulfill the needs of future power system operation planning, analysis, and strategy selection. Therefore, this paper provides a data-driven power system operating mode analysis as well as a technique for selecting a stability control strategy This method first builds the characteristics of the typical scenario is suitable for the operation of the electric properties and the method of data preprocessing, then identifies the typical operation mode through clustering and tightness index saturation point, respectively, and selects the corresponding stability control strategy in place to ensure that the grid can still keep the stable operation unaffected. Finally, an example is generated and examined using real power grid operating data from southwest China to demonstrate the efficacy and dependability of the proposed strategy. © 2022 IEEE.

关键词： Electric power transmission networks

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Cyber-attack-tolerant Frequency control of Power Systems

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Journal of Modern Power Systems and Clean Energy 2021年第2期9卷 307-315页

作者： Chunyu Chen Kaifeng Zhang Ming Ni Ying Wang the School of Electrical and Power Engineering China University of Mining and TechnologyXuzhou 221116China the School of Automation Southeast UniversityNanjing 210096China NARI Group Corporation(State Grid Electric Power Research Institute) Nanjing 211106China NARI Technology Co. Ltd.Nanjing 211106China State Key Laboratory of Smart Grid Protection and Control Nanjing 211106China

Cyber attacks are emerging threats in the Internet of Things applications,and power systems are typical cyber attack *** one of the most essential operation functions,frequency control is threatened by cyber intrusions,and the existing centralized control mode cannot effectively address cyber *** this study,a new distributed cyber-attack-tolerant frequency control scheme is *** distributed control mode also serves as a convenient tool for attack *** designed cyber-attack-tolerant frequency controller adopts the idea of passive fault attenuation,thus simplifying the design *** the aid of graph theory and consensus techniques,distributed integral based and model predictive control(MPC)based controllers are *** with the integral type,the MPC-based controller can simultaneously improve the dynamic responses and the tolerance ability under *** proposed controller is validated via an IEEE benchmark system,and the effectiveness of its application in actual power systems is verified.

关键词： Frequency control cyber attack distributed control passive fault attenuation cyber-attack-tolerant frequency control

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Prediction of Day-Ahead Electricity Price Based on N-BEATSx Model Optimized by SSA Considering Coupling Between Features 1

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7th Purple Mountain Forum on smart grid protection and control, PMF2022

作者： Xu, Feihong Teng, Xianliang Lu, Jixiang Zheng, Tao Jin, Yulong Nanjing211106 China NARI-TECH Nanjing Control System Ltd Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China

ISBN: (数字)9789819900633

ISBN: (纸本)9789819900626

With the continuous advancement of Chinese electricity market reform, the continuous improvement of the market mechanism and the integration of a large number of new energy sources have brought great challenges to the market’s clear electricity price forecast. The new energy output, load data, and tie-line power schedule are fused to obtain an improved input feature variable, which can better reflect the electricity price trend. Then, the maximum information coefficient method (MIC) was used to analyze the correlation between each characteristic variable and electricity price, and an interpretable time series prediction model (N-BEATSx) based on neural network base expansion analysis of fusion characteristic variables was adopted. It is interpretable and can solve nonlinear forecasting problems of time series with the trend, seasonality, and significant random fluctuations. For the selection of hyperparameters in the N-BEATSx prediction model, the sparrow search algorithm (SSA) is used for optimization, the optimal grid structure hyperparameters are obtained with the minimum loss function of the validation set as the objective function. To verify the validity of the proposed model, the Shanxi Province market electricity price data is taken as an example to analyze and compare with other forecasting models, the results show that the proposed model can predict the electricity price of the day before clearing well. © state grid Electric Power Research Institute 2023.

关键词： Power markets

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