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Transmission Line Distance protection Under Current Transformer Saturation

Journal of Modern Power Systems and Clean Energy 2021年第1期9卷 68-76页

作者： Yuping Zheng Tonghua Wu Feng Hong Gang Yao Jimin Chai Zhinong Wei the College of Energy and Electrical Engineering Hohai UniversityNanjing 210098China State Key Laboratory of Smart Grid Protection and Control NARI Group CorporationNanjing 211106China Changzhou Institute of Technology Changzhou 213032China

Conventional transmission line distance protection approaches are subject to malfunction under reverse fault-induced current transformer(CT) saturation for the typically employed breaker-and-a-half configuration. This paper addresses this issue by proposing a new distance protection approach that combines the blocking and unblocking criteria of distance protection based on the values of incomplete differential current,operation voltage, and current harmonic content. The proposed approach is verified by theoretical analysis, dynamic simulation testing, and field operation to ensure that the obtained distance protection is reliable and refrains from operating unnecessarily under reverse fault-induced CT saturation in the breaker-and-ahalf configuration. Meanwhile, the proposed approach is demonstrated can operate reliably when forward faults occur or various reverse faults are converted to forward faults.

关键词： Breaker-and-a-half configuration current transformer(CT)saturation distance protection power frequency variation operation voltage

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Day-ahead Scheduling Method Considering Uncertainty of Renewable Energy and Power System Operation Risk

Day-ahead Scheduling Method Considering Uncertainty of Renew...

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IEEE International Conference on Power and Energy Systems (ICPES)

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

The conventional security constraint unit commitment plan is difficult to adapt to the uncertainty of high proportion of renewable energy output, and is easy to cause risks to the real-time power supply-demand balance and the security of power system operation. Aiming at the requirements of optimization and decision-making for high proportional renewable energy provincial power grid day-ahead scheduling, this paper analyzes the optimization decision-making process of day-ahead scheduling planning considering uncertainties of renewable energy, and proposes a renewable energy output scenario set generation method based on renewable energy power forecast and forecast error probability distribution. A day-ahead stochastic unit commitment optimization model and algorithm considering the uncertainty of renewable energy and power system operation risk is established. The effectiveness and practicability of the proposed method are verified based on the day-ahead actual operation data of a provincial power grid.

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

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

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IEEE International Conference on Power and Energy Systems (ICPES)

作者： Lin Bo Taishan Xu Mengfu Tu Jinjun Lu NARI Group Co. Ltd.(State Key Laboratory of Smart Grid Protection and Control) Nanjing Chinas

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.

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Wind-Storage Coordinated control Strategy for Inertia Enhancement of High Ratio Renewable Energy Power Systems

SSRN

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SSRN 2024年

作者： Shu, Hongchun Dong, Haifei Wang, Guangxue Chen, Jing Shi, Botao Tang, Yutao the State Key Laboratory Collaborative Innovation Center for Smart Grid Fault Detection Protection and Control Jointly Yunnan Key Laboratory of Green Energy and Digital Power Measurement Control and Protection Kunming University of Science and Technology Kunming650500 China

The replacement of thermal power units with renewable energy power generation equipment like wind and photovoltaics has decreased the inertia level of power systems and weakened the frequency stability of the power grid. In order to improve the inertia level of the new power systems and strengthen the inertia support capability of the renewable energy power system to the grid, a wind-storage coordinated control strategy for the inertia enhancement of high-proportion renewable energy power system is proposed in this paper. A time domain model of the inertia response of the wind-storage coordinated control system is also established. An inertia level enhancement strategy of virtual inertia and virtual sag coordinated control of wind-storage joint system is proposed. It improves the system inertia using the analysis results of system inertia requirements as data support and considering the characteristics of battery storage with fast charging and discharging response, and flexible capacity configuration. In addition, the effectiveness of energy storage system (ESS) participation in system inertia enhancement is guaranteed by proposing energy storage based on the ESS state of charge (SOC), which participates in the inertia of the new energy power system to enhance the control coefficient adaptive strategy. Finally, a comparative analysis is carried out using RTLAB simulation test to verify the effectiveness of the method proposed in this paper. © 2024, The Authors. All rights reserved.

关键词： Frequency response

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Integrated Scheduling Model of Generation and Transmission for Promoting Clean Energy Accommodation 5th

Integrated Scheduling Model of Generation and Transmission f...

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International Top-Level Forum on Engineering Science and Technology Development Strategy and 5th PURPLE MOUNTAIN FORUM on smart grid protection and control, PMF2020

作者： Xu, Fan Cao, Rongzhang Tu, Mengfu Zhang, Yantao Zhang, Dandan State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing Jiangsu211106 China

ISBN: (纸本)9789811597459

With the rapid development of ultra-high voltage AC and DC power supply and the increase of large-capacity power bases, China’s power system shows obvious integration characteristics of power balance in the whole power grid, which poses new challenges to the existing model of scheduling plan with provincial balance and weakly coupled dispatching at all levels. For this reason, an integrated optimization model of power generation and transmission planning for the entire power grid is proposed, which is suitable for engineering practice and takes into account the characteristics of multi-energy generation complementation on the generation side, transmission operation characteristics of ultra-high voltage lines and flexible load response characteristics on the demand side. The model of multi-energy complementation of generation side is established, which can reduce the fluctuation of clean energy and increase the accommodation of clean energy. The flexible load response model of the demand side is established, which can coordinate with the power adjustment of the power generation to increase the accommodation space of clean energy. The power model of transmission channel is established to connect the energy base with the load center, which can consider the distribution characteristics of the power grid globally and reduce the overall operation cost of the grid. Based on the actual data of a cross-regional interconnected power grid, the validity of the model is verified. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Scheduling

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Fuzzy Adaptive PI Circulating Current Suppressing control for MMC-HVDC

Fuzzy Adaptive PI Circulating Current Suppressing Control fo...

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IEEE Information Technology, Networking, Electronic and Automation control Conference

作者： Wujie Chao Junwei Huang Chaoping Deng Liyu Dai State Grid Fujian Electric Power Research Institute Fuzhou China Fujian Key Laboratory of Protection and Operation Control for Smart Grid China

Recent years, modular multilevel converter (MMC) is one of the most promising topologies applied to high voltage direct current transmission (HVDC). In order to solve the circulating currents caused by structural defects of MMC, a fuzzy adaptive PI circulating current suppressing controller is proposed based on mathematical model of MMC and functioning fuzzy subset inference method: The fuzzy number is calculated according to the error of system state, error variation, membership function and fuzzy control rules; The center of gravity method is used for defuzzification, and finally the PI parameters are modified. Finally, the PSCAD/EMTDC simulation model with fuzzy adaptive PI controller is established. The results show that the fuzzy adaptive PI circulating current suppressing controller is effective for MMC-HVDC.

关键词： Adaptation models Multilevel converters PI control HVDC transmission High-voltage techniques Mathematical models Stability analysis

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An Assessment Method of Carbon Emission Reduction Additionality in grid Dispatching Model 5

An Assessment Method of Carbon Emission Reduction Additional...

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5th IEEE Conference on Energy Internet and Energy System Integration, EI2 2021

作者： Lai, Yening Huang, Jie Chen, Xuetong Jin, Shuai NARL Technology Co. Ltd State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9781665434256

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-loss-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. © 2021 IEEE

关键词： Electric load flow

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Construction of Dynamic Knowledge Graph for grid day-ahead Scheduling Optimization Decision 10

Construction of Dynamic Knowledge Graph for Grid day-ahead S...

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10th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2022

作者： Yan, Qing Ding, Maosheng Lu, Jixiang Lu, Jinjun Yang, Huibiao Xie, Feng Nanjing China Nari Technology Co. Ltd. Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China State Grid Ningxia Electric Power Co. Ltd. Ningxia China

ISBN: (数字)9781665422079

ISBN: (纸本)9781665422079

As a new generation technology representative of knowledge engineering, knowledge graph is a large-scale semantic network, which has natural advantages in extracting knowledge from multi-source heterogeneous information, complex and highly correlated knowledge representation and reasoning. Based on the analysis of the application status of the grid day-ahead scheduling optimization decision-making technology and the demand for improving the intelligent processing capability, the key technologies and methods for the application of knowledge graph in the grid day-ahead scheduling optimization decision-making are proposed. The key technologies, application ideas and process methods of knowledge graphs are analyzed from the aspects of the design of knowledge ontology framework in the field of day-to-day dispatching of power grids, high-quality phrase mining and entity recognition, relation extraction and knowledge fusion, and scene-based dynamic knowledge graph update. Finally, the application and challenges of knowledge graph in the field of grid day-ahead scheduling in the future are summarized and prospected. © 2022 IEEE.

关键词： Knowledge graph

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A Defects Detection System for Substation Based on YOLOX 5

A Defects Detection System for Substation Based on YOLOX

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Cui, Yao Huang, Xin Zhang, Xin Ye, Junjie Zhong, Linlin State Key Laboratory of Smart Grid Operation and Control Nanjing China Southeast University School of Electrical Engineering Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

To improve the intelligent supervision level of substation, a defects images dataset facing to substation scenario was built by collecting and labeling a huge number of images about substation equipment defects. Then a transfer learning model based on the YOLOX model was trained by adjusting the model training parameters. Finally, a model with 87.4 % mean average precision and affordable speed (about 0.07 second per image) was constructed. And the experiments results proved that this model can detect the preset defects of substation equipment accurately in acceptable speed according to the visible image obtained from monitoring equipment, which means it has satisfying application potential in future. © 2022 IEEE.

关键词： Object detection

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Research on key Technologies of Line Differential protection Based on 5G Communication 6th

Research on Key Technologies of Line Differential Protection...

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6th PURPLE MOUNTAIN FORUM on smart grid protection and control, PMF2021

作者： Zheng, Xiaojiang Yao, Gang Wu, Tonghua Teng, Xianliang Hong, Feng Wang, Weiwei State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China Jiangsu Nanjing211106 China NARI Technology Co. Ltd Jiangsu Nanjing211106 China

ISBN: (纸本)9789811671555

With the advanced 5G communication technology and the wireless communication environment of 5G communication network with high bandwidth, low delay and high reliability, line differential protection based on 5G communication has become the development trend of MV (Medium Voltage) and LV (Low Voltage) distribution network protection. This paper provides an overall architecture scheme of line differential protection based on 5G communication to further explain the characteristics of 5G network, and aiming at the problem of delay jitter existing in 5G network, presents a sampling point sequence number synchronization method based on absolute time-marker of external clock to analyze data encapsulation, interaction and traffic consumption of bilateral differential protection, and the corresponding technical solutions, and at last, it proposes a processing mechanism of protection device in dealing with clock loss and data anomaly, which provides a complete technical route for line differential protection based on 5G communication, facilitates the large-scale application of longitudinal differential protection in the closed-loop operation of MV and LV power network, and ensures that the requirements of quickness and selectivity can be met in the traditional non-unit protection of MV and LV power network, so as to improve the reliability level of power network. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： 5G mobile communication systems

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