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

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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...

引用

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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Operation optimization of section III of distance protection based on DC information 5

Operation optimization of section III of distance protection...

引用

5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Zhang, Haiyu Li, Wei He, Jinghan Beijing Jiaotong University School of Electrical Engineering Beijing China State Key Laboratory of Smart Grid Protection and Control Skl of Sgpc Nanjing China Nari Group Corporation Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

Failure of the DC system itself to withdraw from operation or failure of the AC system causing blocking of the DC system may result in a tidal shift to overload the AC line. Unreasonable tripping of the AC line's distance III backup protection based on local information drives the development of chain tripping incidents and can lead to significant outages. For this reason, a method based on conservation and control synergy is proposed, using DC control information to optimise AC distance III backup protection action behaviour. When the tidal shift triggered by the DC phase change failure blocking makes the distance protection section III act unreasonably, the DC control information is used as the activation condition for the backup protection action range adjustment to improve reliability and prevent the backup protection from acting unreasonably. Finally, the effectiveness of the above strategy is verified by PSCAD software simulation. © 2022 IEEE.

关键词： Outages

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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...

引用

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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Fuzzy Adaptive PI Circulating Current Suppressing control for MMC-HVDC

Fuzzy Adaptive PI Circulating Current Suppressing Control fo...

引用

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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A Coupled RTK/INS Positioning Method Based on Robust Estimation

A Coupled RTK/INS Positioning Method Based on Robust Estimat...

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第十四届中国卫星导航年会

作者： Huizhen Yu Xianliang Teng Shuguo Pan Min Zhang Jian Shen Wang Gao School of Instrument Science and Engineering Southeast University State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation

In the urban environment,the positioning results of RTK/INS integrated navigation are often influenced by grosses,which degrades the positioning accuracy and damages the stability of the navigation *** solve this dilemma,a loose coupled RTK/INS positioning method based on robust estimation is ***,during RTK positioning,for eliminating corrupted measurements caused by Non-Line-of-Sight(NLOS) signals and multipath,this paper researches the RTK positioning algorithm based on bifactor robust *** this method,the ambiguity is fixed and solved back into the Double-Difference(DD) equation in least square *** posterior residual vector is used for the bifactor robust processing to eliminate the influence of some abnormal ***,the RTK positioning results are loosely integrated with Inertial Navigation system(INS),and the robust processing based on Huber equivalent weight function is implemented in the process of the Kalman filter ***,the proposed algorithm is validated by vehicle data in a typical urban *** experimental results show that compared with the traditional least squares-based RTK,the accuracy of the bifactor RTK method is improved by 2.48 cm in the horizontal ***,in contrast with the RTK/INS method based on the single robust processing,the accuracy of the proposed robust bifactor error method in the horizontal direction is increased by 3.85 *** navigation accuracy and reliability are significantly *** dynamic environment,this research has certain theoretical reference and practical value for vehicular and autonomous driving applications.

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Source-Load Joint Probability Prediction Based on Transformer Model 5

Source-Load Joint Probability Prediction Based on Transforme...

引用

5th IEEE International Conference on Artificial Intelligence and Big Data, ICAIBD 2022

作者： Hu, Pingzhao Shan, Xin Hu, Diangang Fu, Jiayu Wang, Chen Zhang, Kaifeng Southeast University Key Laboratory of Measurement and Control of Cse Ministry of Education Nanjing China Co. Ltd. State Grid Nari Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Operation Control Nanjing China State Grid Gansu Electric Power Co. Ltd. Gansu China

ISBN: (纸本)9781665499132

Renewable energy power generation prediction, including wind and photovoltaic power prediction, is usually performed separately from load prediction, while there are significant internal relationships between renewable energy power generation and load consumption. Therefore, exploring the relationship between source and load, and implementing sourceload joint prediction may improve the accuracy of source-load prediction simultaneously. This paper proposes a source-load joint probability prediction method, PCMDT (Probability-CNN-Multi-Decoder-Transformer), based on Transformer model. Firstly, we analyzed the possible aspects of the relationship between renewable energy and load. Then the CMDT(CNN-Multi-Decoder-Transformer) model was used to realize the point prediction of renewable energy power generation and load power. Next, the conditional quantile was obtained by optimizing the quantile loss function (Pinball Loss) to realize the joint probability prediction of source and load. Finally, the model was tested on a public state-level dataset. Comparing the results of source-load joint prediction with non-joint prediction, the proposed model can improve the accuracy of renewable energy and load prediction. © 2022 IEEE.

关键词： Forecasting

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A Method for Measuring Capacitive Current in Arc Suppression Coil Grounding system 2

A Method for Measuring Capacitive Current in Arc Suppression...

引用

2022 2nd International Conference on Energy, Power and Advanced Thermodynamic systems, EPATS 2022

作者： Xia, Lei Wu, Hai Hu, Guo Hu, Song Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China NARI Technology Development Co. Ltd. Jiangsu Nanjing211106 China

With the rapid development of the national economy, the system cabling rate continues to improve, the system capacitive current continues to increase, and the arc suppression coil grounding method is more and more widely used. Among them, the pre adjustable turn adjustable arc suppression coil accounts for the highest proportion. How to accurately, quickly and real-time measure and calculate the capacitive current of the system is the foundation to realize the automatic tracking and compensation of the arc suppression coil, It is also the key to reliably extinguish the arc and reduce the influence range of the fault when the single-phase grounding fault occurs in the system. Based on the analysis of the variation law of the capacitive current in the distribution network neutral grounding system through the arc suppression coil, this paper proposes a new method for measuring the capacitive current based on the resonance point curve fitting, which is suitable for the pre adjustable turn adjustable arc suppression coil grounding system, and verifies its reliability and accuracy through simulation. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Curve fitting

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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...

引用

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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Optimal Scheduling of Thermoelectricity in Integrated Energy system Based on Waste Heat Recovery from Power to Gas and Flexible Thermoelectricity Ratio 6

Optimal Scheduling of Thermoelectricity in Integrated Energy...

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6th IEEE Conference on Energy Internet and Energy system Integration, EI2 2022

作者： Yang, Dongmei Gao, Yu Wang, Qi Chen, Yan Guo, Yuchen Wang, Meng Nari Technology Co. Ltd. The State Key Laboratory of Smart Grid Protection and Operation Control Nanjing China Nanjing Normal University School of Nari Electric and Automation Nanjing China

ISBN: (纸本)9798350347159

Aiming at the anti-peak shaving characteristics of wind power and the problem of wind curtailment caused by the 'fixing electricity by heat' of CHP units, an optimal scheduling method in integrated energy systems based on waste heat recovery from power to gas(P2G) and flexible thermoelectricity ratio in CHP is proposed. First, the P2G energy coupling mechanism and the feasibility of P2G waste heat recovery and utilization are analyzed. P2G equipment is introduced into the system and the remaining heat is recycled and utilized to promote wind power grid-connected consumption. Then, the principle of flexible thermoelectric ratio adjustment of CHP is analyzed, so that CHP can adjust the thermoelectric ratio following the trend of wind power output and the energy supply pressure of electric heat load, so as to improve the wind power consumption capacity of the system. Finally, the optimal scheduling model of the integrated energy system is constructed with the goal of minimizing the daily operating cost. The simulation example shows that the proposed scheduling method optimizes the thermoelectric coupling relationship of the system, effectively improves the wind power absorption capacity of the system, and has good social and economic benefits. © 2022 IEEE.

关键词： Wind power

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A Hybrid Simulation Study of the Herding Behavior Effects in the China National Carbon Market 5

A Hybrid Simulation Study of the Herding Behavior Effects in...

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

作者： Chen, Xuetong Huang, Jie Jin, Shuai Zhang, Yifei Ling, HengYu NARI Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9781665434256

Mitigating climate change is a global consensus. C hina is aiming to have carbon emissions peak before 2030 and ac hieve carbon neutrality before 2060. The China national carbon market is one of the key measures to achieve this ambitious "30 •60" target. Compliance enterprises, financial institutions, and i ndividual investors are allowed to participate in the national car bon market and the complex trading interactions among these h eterogeneous participants will make the market dynamics diffic ult to predict and analyze, bringing challenges to market design and regulations. Guided by the framework of cyber-physical-soc ial system in energy (CPSSE), this paper constructs a hybrid si mulation environment based on the Dynamic Simulation platfor m for Macro-Energy systems (DSMES), in order to study the he rding behavior effects on carbon market under different scenari o settings. The behavior models of different carbon traders such as compliance enterprises, offset developers and financial instit utions are analyzed and constructed. Then, the herding behavio reffects are studied under different market scenario settings sue has the supply of carbon emission allowance (CEA) and carbon offset credits (COC). Finally, key insights are discussed based o nmulti-scenario case studies, which provide decision support fo rmarket design and regulation. © 2021 IEEE

关键词： Climate change

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