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High-impedance Fault Section Location for Distribution Networks Based on t-distributed Stochastic Neighbor Embedding and Variable Mode Decomposition

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Journal of Modern Power Systems and Clean Energy 2024年第5期12卷 1495-1505页

作者： Zhihua Yin Yuping Zheng Zhinong Wei Guoqiang Sun Sheng Chen Haixiang Zang the College of Energy and Electrical Engineering Hohai UniversityNanjing 210098China State Key Laboratory of Smart Grid Protection and Control NARI Group CorporationNanjing 211106China

When high-impedance faults(HIFs)occur in resonant grounded distribution networks,the current that flows is extremely weak,and the noise interference caused by the distribution network operation and the sampling error of the measurement devices further masks the fault ***,locating a fault section with high sensitivity is *** existing technologies,this study presents a novel fault feature identification framework that addresses this *** framework includes three key steps:(1)utilizing the variable mode decomposition(VMD)method to denoise the fault transient zero-sequence current(TZSC);(2)employing a manifold learning algorithm based on t-distributed stochastic neighbor embedding(t-SNE)to further reduce the redundant information of the TZSC after denoising and to visualize fault information in high-dimensional 2D space;and(3)classifying the signal of each measurement point based on the fuzzy clustering method and combining the network topology structure to determine the fault section *** simulations and field testing confirm that the proposed method accurately detects the fault location,even under the influence of strong noise interference.

关键词： High-impedance fault noise interference fault section location t-distributed stochastic neighbor embedding(t-SNE) transient zero-sequence current

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Assessment of Static Voltage Stability Margin for Power Systems with Causal Decomposition and Reverse Feature-Enhanced Temporal Convolutional Networks 16

Assessment of Static Voltage Stability Margin for Power Syst...

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16th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2024

作者： Zhou, Haifeng Zha, Xianyu Pan, Qi Li, Naishuang Zhang, Jiabin Liu, Jiacheng State Key Laboratory of Smart Grid Protection and Operation Control Nanjing China

ISBN: (纸本)9798350386127

Rapid and accurate static voltage stability assessment is crucial for the safe operation of large-scale interconnected power grids. Existing methods have failed to effectively filter key input variables in massive measurement data, limiting assessment accuracy. This study proposes an assessment method based on causal decomposition and reverse feature-enhanced temporal convolution networks. Initially, using bottom-layer measurement data as input, key variables are selected through causal decomposition, reducing the original feature set and enhancing computational efficiency. Subsequently, a reverse feature-enhanced temporal convolution model is constructed to fully mine data characteristics and achieve high precision assessment. Validation in an improved four-machine two-area simulation system demonstrates that this method significantly enhances estimation accuracy and algorithm performance while reducing the dimensionality of original variables. © 2024 IEEE.

关键词： causal decomposition data-driven influencing factor analysis static voltage stability margin temporal convolutional network

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Fast Distance protection Scheme for Wind Farm Transmission Lines Considering R-L and Bergeron Models

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Journal of Modern Power Systems and Clean Energy 2023年第3期11卷 840-852页

作者： Zepeng Hu Bin Li Yuping Zheng Tonghua Wu Jiawei He Bin Yao Yaru Sheng Wei Dai Xindong Li Electrical Engineering and Automation Tianjin UniversityTianjinChina State Key Laboratory of Smart Grid Protection and Control NARI Group CorporationNanjingChina

The distributed capacitance of the line becomes larger as the scale of wind farms,the transmission voltage level,and the transmission distance ***,the error of the traditional time-domain distance protection scheme based on the R-L model,which ignores the distributed capacitance of the line,becomes ***,the error of the time-domain fault location method based on the R-L model,especially the maximum error range,is theoretically analyzed in this *** this basis,a novel fault location method based on the RL and Bergeron models is ***,a fast time-domain distance protection scheme is *** the proposed scheme,the error in the fitting calculation is used to construct a weight matrix,and an algorithm for solving the time-domain differential equations is designed to improve the calculation speed and *** with the traditional frequency-domain distance protection scheme,the proposed scheme is independent of the power supply characteristics;thus,it is suitable for wind farm transmission *** addition,compared with the traditional method based on the R-L model,the proposed scheme effectively avoids the negative influence of the distributed capacitance of the line,which significantly improves the operating *** types of faults are simulated by PSCAD/EMTDC to verify the effectiveness and superiority of the proposed scheme.

关键词： Transmission line R-L model time-domain distance protection wind farm

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Inverse-time Backup protection Based on Unified Characteristic Equation for Distribution Networks with High Proportion of Distributed Generations

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Journal of Modern Power Systems and Clean Energy 2024年第1期12卷 202-212页

作者： Nana Chang Guobing Song Zhongxue Chang Yuping Zheng Xingang Yang the School of Electrical Engineering Xi’an Jiaotong UniversityXi’anChina State Key Laboratory of Smart Grid Protection and Control NARI Group CorporationNanjingChina Electric Power Research Institute of State Grid Shanghai Electric Power Company ShanghaiChina

The setting work of backup protection using steady-state current is tedious,and mismatches occasionally occur due to the increased proportion of distributed generations(DGs)connected to the power ***,there is a practical need to study a backup protection technology that does not require step-by-step setting and can be adaptively *** paper proposes an action sequence adaptive to fault positions that uses only positive sequence fault component(PSFC)*** the influence of DGs,the unified time dial setting can be obtained by selecting specific *** protection performance is improved by using the adjacent upstream and downstream protections to meet the coordination time interval in the case of metallic faults at the near-and far-ends of the ***,the expression and implementation scheme for inverse-time backup protection(ITBP)based on the unified characteristic equation is *** results show that this scheme can adapt to DG penetration scenarios and can realize the adaptive coordination of multi-level relays.

关键词： Inverse-time backup protection(ITBP) distributed generation(DG) positive sequence fault component(PSFC)voltage unified characteristic equation adaptive coordination

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Pathway Planning of Nuclear Power Development Incorporating Assessment of Nuclear Event Risk

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Journal of Modern Power Systems and Clean Energy 2024年第2期12卷 500-513页

作者： Xinxin Yang Yusheng Xue Bin Cai School of Electrical Engineering Southeast UniversityNanjingChinaand they are also with State Grid Electric Power Research Institute(NARI Group Corporation)NanjingChina State Key Laboratory of Smart Grid Protection and Operation Control NanjingChina State Grid Electric Power Research Institute(NARI Group Corporation) NanjingChina

The nuclear event risk(NER)is an important and disputed factor that should be reasonably considered when planning the pathway of nuclear power development(NPD)to assess the benefits and risks of developing nuclear power more *** paper aims to explore the impact of nuclear events on NPD pathway *** influence of nuclear events is quantified as a monetary risk component,and an optimization model that incorporates the NER in the objective function is *** optimize the pathway of NPD in the lowcarbon transition course of power supply structure evolution,a simulation model is built to deduce alternative NPD pathways and corresponding power supply evolution scenarios under the constraint of an exogenously assigned carbon emission pathway(CEP);moreover,a method is proposed to describe the CEP by superimposing the maximum carbon emission space and each carbon emission reduction(CER)component,and various CER components are clustered considering the emission reduction characteristics and resource endowments of different power generation technologies.A case study is conducted to explore the impact of NER and its risk valuation uncertainty on NPD pathway *** method presented in this paper allows the impact of nuclear events on NPD pathway planning to be quantified and improves the level of coordinated optimization of benefits and risks.

关键词： Low-carbon transition power supply structure evolution nuclear power development(NPD) quantitative analysis nuclear event risk evaluation

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Deep-Learning Based Reactive Voltage control of Regional Power Grids Integrated with Renewable Energy Resources 7th

Deep-Learning Based Reactive Voltage Control of Regional Pow...

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

作者： Wang, Haozhe Lu, Jixiang Zhang, Tao Chen, Jianhua Tang, Ningkai Shu, Jiao Jiangsu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China

ISBN: (纸本)9789819900626

With the increasing penetration rate of distributed renewable energy and more complexity of grid, it is essential to keep a secure voltage profile for the safety, stability and economy of the power system. A reactive voltage control approach in regional power grid is proposed in this paper, which can provide online decisions without the requirement of the model and parameters. The proposed approach enhances the ability to rapidly restore the voltage back to normal after severe system disturbances. Furthermore, to regulate voltage profiles and reduce shunt operations, an LSTM based reactive voltage control model is also proposed by considering transformers and capacitors. A case of a regional power grid in Jiangsu is studied to verify the proposed scheme. The experimental results show the capability and efficiency of the proposed scheme. In contrast to traditional methods, our approach improves the accuracy of the control strategy by prediction model meanwhile limiting the action times of control devices. © state Grid Electric Power Research Institute 2023.

关键词： Renewable energy

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REVIEW ON REACTIVE POWER OPTIMIZATION OF HIGH PROPORTION RENEWABLE ENERGY POWER SYSTEM 9

REVIEW ON REACTIVE POWER OPTIMIZATION OF HIGH PROPORTION REN...

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9th International Conference on New Energy and Future Energy Systems, NEFES 2024

作者： Yang, Xinyi Shan, Xin Chen, Tianhua Zhao, Jinquan School of Electrical and Power Engineering Hohai University Nanjing China Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9781837241880

High penetration renewable energy connected to power grid intensifies the voltage fluctuation of grid nodes and brings great challenges to reactive power control of power system, while the integration of a mass of power electronics into the system significantly enriches the means of voltage regulation. In this paper, review and outlook on the reactive power optimization of high proportion renewable energy power system are presented. Firstly, the novel characteristics of reactive power control of the system are analysed from six aspects: source-load uncertainty, voltage stability, high penetration power electronics, demand-side flexibility, power market environment, and transmission and distribution integration. Secondly, the existing researches are introduced corresponding to these characteristics. Finally, the outlook of an overall research framework of the reactive power optimization covering time, space and target scales is proposed for the stable operation of the high proportion renewable energy power system. © The Institution of Engineering & Technology 2024.

关键词： FLEXIBLE LOAD HIGH PROPORTION RENEWABLE ENERGY POWER SYSTEM POWER ELECTRONICS REACTIVE POWER OPTIMIZATION VOLTAGE STABILITY

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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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Marginal Unit Location Method Based on Dual Simplex Sensitivity Analysis 1

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

作者： Zhang, Yantao Chang, Li Cao, Rongzhang Wang, Wen Zang, Zhendong Wu, Shuomin Jiangsu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China

ISBN: (数字)9789819900633

ISBN: (纸本)9789819900626

With the continuous settlement and trial operation in the domestic power spot market, the price volatility analysis scenarios of the LMP widely used by power spot pilot provinces have gradually increased, and the real-time nature has gradually increased. Since LMP is affected by many factors, and different factors are coupled with each other, it is impossible to quickly and accurately analyze the reasons for node price fluctuations and pricing units. Therefore, combined with the domestic spot market clearing and pricing two-stage optimization strategy and the mature dual simplex theory, a marginal unit location method based on dual simplex sensitivity analysis is proposed. The method supports different scenarios such as unit independent pricing, unit, and constraint slack variable joint pricing, etc. The rationality of the positioning method is verified by the PJM 5 node and practical example. The results show that the method is universal and has been applied to several spot pilots. © state Grid Electric Power Research Institute 2023.

关键词： Sensitivity analysis

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control Strategies for the PV-Integrated Islanded Microgrid Under Normal and Fault Conditions 8th

Control Strategies for the PV-Integrated Islanded Microgrid ...

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8th Purple Mountain Forum on smart Grid protection and control, PMF 2023

作者： Zheng, Yuping Yao, Shenyun Wu, Tonghua Wu, Hai Zheng, Xiaojiang Xia, Lei The State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation Nanjing China The College of Energy and Electrical Engineering Hohai University Nanjing China

ISBN: (纸本)9789819992508

This paper describes the corresponding control strategies for the normal and fault operation states of the islanded microgrid system. The islanded microgrid system consists of distributed energy resources (DER) such as photovoltaic (PV), hybrid energy storage (HES) and microturbine (MT) and loads such as pumping unit load (PUL) and equivalent load. In the normal condition, it adopts a voltage and frequency (V-f) control strategy for the inverter of MT to maintain constant voltage and frequency of the whole system and a constant power control strategy for the rest of the power inverters. In the fault condition, the front and rear stages of the PV system adopt constant power control and reactive power compensation priority control respectively, thus realizing low voltage ride-through (LVRT). The proposed control strategies can ensure the stability of voltage and frequency of the microgrid during normal conditions and the ability of the PV system to achieve LVRT during fault conditions. A simulation model of the islanded microgrid system based on PSCAD/EMTDC is constructed and the effectiveness of the control strategies under normal and fault conditions is verified. © 2024, state Grid Electric Power.

关键词： Reactive power

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