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检索条件"机构=State Key Laboratory of Intelligent Power Grid Protection and Operation Control"

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Simulation of Fast Cascading Failures Considering Voltage Ride Through Capability of Renewable Generation

Simulation of Fast Cascading Failures Considering Voltage Ri...

引用

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

作者： Dongbao Lv Shanshan Qiu Yujun Zhou Changgang Li Junjun Yang Wei Xu Xing Lei Changhui Ma Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China NARI Group Corporation State Grid Electric Power Research Institute Nanjing China State Grid Shanghai Municipal Electric Power Company Shanghai China Shandong Smart Grid Technology Innovation Center State Grid Shandong Electric Power Company Electric Power Science Research Institute Jinan China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

With the rapid development of renewable generation, the evolution process of fast cascading failures in the power system with a high proportion of renewable generation turns out to be more complicated. There are few existing fast cascading failure models that take into account the voltage ride through (VRT) capability of renewable generation. The portrayal of the dynamic characteristics of renewable generation still needs to be improved. In response to this, the VRT control model and VRT protection model have been established to comprehensively depict the output characteristics and disturbance tolerance capability of renewable generation in fast cascading failures. Finally, the simulation results of the AC-DC hybrid receiving-end system with a high proportion of renewable generation show that the established models can effectively depict the influence of VRT capability of renewable generation in fast cascading failures, providing a more comprehensive basis for the analysis of fast cascading failures under the access of a high proportion of renewable generation.

关键词： Renewable energy sources Voltage fluctuations Simulation power system protection power system dynamics System integration Delays power system faults Voltage control Transient analysis

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Effect of Battery Energy Storage System Frequency Regulation on Frequency Characteristic of power Systems

Effect of Battery Energy Storage System Frequency Regulation...

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power Systems and Electrical Technology (PSET), IEEE International Conference on

作者： Lijun Deng Libin Huang Haiqing Cai Yun Hu Mengjun Liao Yunhui Huang Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China Southern Power Grid Research Institute Co. LTD Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Wuhan University of Technology Wuhan China

This paper investigates the impact of battery energy storage system (BESS) frequency regulation on frequency characteristic of power systems. To begin with, a model of BESS participating in frequency regulation of power systems is established for analyzing effects of BESS control dynamics on grid frequency characteristic. And the analysis model is proved by comparison with time domain model. Furthermore, grid frequency characteristic analysis with including BESS frequency regulation is studied. Virtual inertia control and virtual inertia frequency control of BESS are investigated for Participate in power grid frequency regulation. Finally, Influence of energy storage inertia and primary frequency regulation control on system frequency characteristics are investigated in Matlab/Simulink.

关键词： Analytical models Time-frequency analysis Frequency modulation power system dynamics Mathematical models power grids Behavioral sciences

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Research on Characteristics of Typical Partial Discharge Pattern in GIS Based on SiPM

Research on Characteristics of Typical Partial Discharge Pat...

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IEEE International Conference on Dielectrics (ICD)

作者： Zihan Xu Lijun Zheng Ruixiang Liu Chuan Peng Zhijie Zhang Pengyue Gao Liang Liang Zhipeng Lei Shanxi Key Laboratory of Mining Electrical Equipment and Intelligent Control College of Electrical and Power Engineering Taiyuan University of Technology Taiyuan China Urumqi Power Company of State Grid Xinjiang Electric Power Co. Ltd Urumqi China

ISBN: (数字)9798350308976

ISBN: (纸本)9798350308983

Inevitable defects often occur in the process of GIS manufacturing, transportation and assembly, which will affect the operation of the power grid. In this paper, an array optical sensor is designed based on a Silicon photomultiplier tube (SiPM) to detect partial discharge in GIS, and a measurement platform and defect model are built to simulate partial discharge in GIS according to the conditions required by the optical measurement method. Corona discharge, creepage discharge, internal discharge and discharge between metallic parts on floating potential are measured by SiPM array, and the influence of sensor distances of 10 cm, 15 cm and 20 cm on the sensitivity is investigated. According to the obtained data, the phase-resolved partial discharge (PRPD) spectra of four discharge types are obtained. Then, the PD feature spectra, such as phase-maximum discharge quantity, phase-average discharge quantity, and discharge frequency-discharge quantity, are analyzed, from which statistical characteristics, including skewness, kurtosis, discharge factor, phase asymmetry, and correlation coefficient, are extracted. The results indicate a negative correlation between the sensor's sensitivity and the distance between discharge sources. Different discharge types can be effectively classified by comparing phase-discharge quantity spectra and statistical characteristics.

关键词： Partial discharges Partial discharge measurement Sensitivity Fault location Optical variables measurement Feature extraction Discharges (electric)

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Optimized functional design and simulation study of the fault line selection devices for non-solidly earthed network based on RTDS 9

Optimized functional design and simulation study of the faul...

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9th China International Conference on Electricity Distribution, CICED 2021

作者： Haiqing, Cai Qi, Guo Zhida, Huang Shiping, Liu Wencong, Wu Jiang, Yu Libin, Huang Zebing, Shi Shuyong, Li Electric Power Research Institute China Southern Power Grid State Key Laboratory of HVDC China National Energy Power Grid Technology R&D Centre Guangzhou510663 China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou510663 China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou510663 China Electric Power Research Institute of State Grid Jiangxi Electric Power Company Nanchang330096 China CSG Power Dispatch Control Center Guangzhou510663 China

ISBN: (纸本)9781728192291

The action accuracy of the fault line selection device is of great significance for ensuring the safe operation of the power system and personal safety. In view of the current imperfect function and the low accuracy of the small current grounding line selection device, the function of line selection of the device is further optimally designed and studied, and the post-acceleration and wheel-cutting functions are put forward and realized. The RTDS simulation model of non-solidly earthed network is established and connected with the actual grounding line selection device to form a closed-loop real-time simulation testing system. By setting up various test items, different types of ground fault test of non-solidly earthed net-work are carried out. The results of simulation show the accuracy of the line selection function, which provides important technical guidance for the implementation of the fault line selection device. © 2021 IEEE.

关键词： Electric grounding

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New intelligent Sensing Terminal System Architecture of Internet of Things

New Intelligent Sensing Terminal System Architecture of Inte...

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International Conference on Internet of Things, Communication and intelligent Technology, IoTCIT 2022

作者： Zhou, Lidan Li, Jing Yao, Gang Wang, Hongyu Li, Jian Liu, Siyang Nie, Yongjie School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai Minhang District200240 China Wiscom System Co. LTD. Nanjing China State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing University Chongqing400044 China Electric Power Research Institute Yunnan Power Grid Co. Ltd. Yunnan Kunming650217 China Yunnan Key Laboratory of Green Energy Electric Power Measurement Digitalization Control and Protection Yunnan650217 China

ISBN: (纸本)9789819904150

In view of the fragmentation of the functions, forms and basic software and hardware of the existing IoT terminals, we propose an IoT intelligent sensing terminal system architecture, in which the intelligent sensing layer collects external data and information and transmits it to the computing fusion collaboration layer for data processing, fusion and task collaboration. The local application layer generates processing results and interacts with the cloud application layer through the communication layer. The new intelligent sensing terminal system of the IoT has an integrated local four-tier architecture, which can meet the needs of the large-scale development of the IoT. In addition, it can work uniformly under the control of the cloud, or complete the underlying tasks independently. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Internet of things

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Assessment of Reactive power Reserve for DC Continuous Commutation Failure 6

Assessment of Reactive Power Reserve for DC Continuous Commu...

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6th International Conference on power and Renewable Energy, ICPRE 2021

作者： Chen, Yingjie Liu, Hui Chen, Qian Xu, Wei Yang, Junjun NARI Group Corporation / State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and Control Nanjing China State Grid Beijing Electric Power Co. Ltd. Beijing China State Grid Beijing Electric Power Research Institute Beijing China

ISBN: (纸本)9781665449618

Real-time assessment of the risk of continuous commutation failure of the thyristor-based phase-controlled commutation direct current transmission system (LCC-HVDC) and timely preventive control measures are of great significance to ensure the safe and stable operation of the large power grid. This paper proposes a method for evaluating effective dynamic reactive power reserve of generators to deal with DC continuous commutation failure. The maximum reactive power increment of the generator corresponding to the secondary drop of the converter bus voltage is defined as the effective dynamic reactive power reserve. The effective dynamic reactive power reserve at the critical point is called the maximum effective dynamic reactive power reserve. When the system dynamic reactive power reserve is less than the reserve capacity threshold, a two-stage preventive control measure searching method is adopted. First, increase the terminal voltage of the generator and the static reactive power compensation. If the requirements are still not met, the start-up unit measures will be adopted. An example of an actual power grid verifies the effectiveness of the method. © 2021 IEEE.

关键词： Reactive power

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Load Forecasting Method based on Multi Loss Function Collaborative Optimization

Load Forecasting Method based on Multi Loss Function Collabo...

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IEEE Asia power and Energy Engineering Conference (APEEC)

作者： Shan Li Yangjun Zhou Yubo Zhang Rongrong Wu Jie Tang Guangxi Power Grid Equipment Monitoring and Diagnosis Engineering Technology Research Center Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Nanning China Guangxi Key Laboratory of Intelligent Control and Operation and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Nanning China

Accurate load forecasting can help the power sector to formulate a reasonable power generation scheme, which can ensure the reliability of power supply while minimizing resource waste. However, most of the existing prediction methods based on deep learning only regard the minimum loss function of the training dataset under laboratory conditions as the optimal model, resulting in low generalization of the model and poor performance of the model in solving practical engineering problems with universality. To solve the above problems, this paper proposes a load forecasting model based on multi loss function collaborative optimization, considering the constraint relationship between the variance, deviation and model generalization error of forecasting results. Considering the different physical meanings of different loss functions, the model calculates the weighted sum of multiple loss functions, and then optimizes the weight value of combined loss functions by using genetic algorithm. The results show that the prediction error of combined loss function is smaller than that of single loss function under the premise of selecting appropriate weight parameters.

关键词： Training Load forecasting power supplies Collaboration Predictive models Transformers Reliability

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Stability control System for power grid Security Defense Level Improvement

Stability Control System for Power Grid Security Defense Lev...

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Smart power & Internet Energy Systems (SPIES), International Conference on

作者： Jingjing Ruan Peng Chen Junnan Chen Xiaotong Xu Jian Zhang State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing China

The rapid development of UHVDC, new energy and power market enhances significantly the uncertainty of power grid. The control strategy of stability control system calculated offline cannot cover the complex and changeable power grid operation situation. A hierarchical closed-loop stability control system is proposed to meet the stability control requirements under multiple and cascading faults, including dispatching center station, coordination control master station and regional control master station The dispatching center integrates natural disaster information to generate high-risk faults and searches online control strategy based on controllable resources acquired by coordination control master station. Coordination control master station stores control strategy of high-risk faults, identify high-risk faults in different places, and issue the control strategy. Regional control master station is responsible for the implementation of high-risk faults control strategy. The analysis results demonstrate that the system can improve the security defense level of power grid. The proposed method is proved to be fast and effective through the analysis of a practical power grid example.

关键词： Uncertainty power system stability control systems Search problems power grids Stability analysis Dispatching

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Research on Coordination Strategy of Emergency and Correction control under High Proportion of New Energy Connected to power grid

Research on Coordination Strategy of Emergency and Correctio...

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

作者： Fusuo Liu Hui Huang Haijun Chang Xuelian Wu Chao Wang State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation/State Grid Electric Power Research Institute Nanjin China

With the large-scale access of new energy sources, the operation mode and the uncertainty factors of the power grid increase, meanwhile the short-term power shock has an increasing impact, which exacerbates the complexity of the system frequency response characteristics and the difference in space-time distribution. Based on the analysis of principles and adaptability of emergency control and correction control, this paper comprehensively considers the operation mode and new energy access, and proposes a centralized control decision-making method based on model and trajectory driving from the perspective of global frequency control. The method also considers the continuously adjustable control resources and low voltage ride through of new energy. Finally, the practicality of the proposed method is verified based on the actual power grid simulation.

关键词： Low voltage Analytical models Adaptation models Uncertainty Decision making power grids Trajectory

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Data-Driven Early Warning for Dynamic Insecurity Risk of Hybrid AC/DC power grids

Data-Driven Early Warning for Dynamic Insecurity Risk of Hyb...

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International Conference on power System Technology (powerCON)

作者： Jiongcheng Yan Changgang Li Yutian Liu Yuanzhen Zhu Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China Electric Power Research Institute of State Grid Shandong Electric Power Company Jinan China

The dynamic interactions between AC and DC systems and the uncertainty of renewable generation increase the risk of cascading failures and bring challenges for the secure operation of hybrid AC/DC grids. Insecurity early warning identifies the security risk and guides the control decision-making, which is important for the secure power system operation. To achieve fast insecurity early warning, a data-driven early warning method for dynamic insecurity risk is proposed in this paper. First, Latin hypercube sampling and improved K-medoids algorithm are utilized to generate typical operating conditions (OCs) in the future. Then, stacking denoising autoencoders and ensemble extreme learning machines are deployed to construct security risk assessment models to fast assess the dynamic security of typical OCs. And model update is performed to ensure the assessment accuracy when cascading failures occur. Finally, the insecure OCs are ranked into different insecure levels based on the control cost needed to ensure the system security. Simulation results of the Northwest hybrid AC/DC grid in China demonstrate that the proposed method can achieve fast insecurity early warning and effectively track the security risk tendency during the process of cascading failures.

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