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Transient Voltage Stability Assessment Method based on gcForest

Transient Voltage Stability Assessment Method based on gcFor...

引用

2021 International Conference on Electrical, Electronics and Computing Technology, EECT 2021

作者： Zhiyuan, Sun Mingpo, L.I. Jie, Zhang Binjiang, Hu Guo, Qi Yihua, Zhu Guangxi Power Grid Electrical Power Research Institute China State Key Laboratory of HVDC Electric Power Research Institute CSG China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China CSG Key Laboratory of Power System Simulation

Aiming at the fact that the traditional method cannot quickly and accurately judge the power system transient voltage stability, and the deep neural network method needs many sample data sets and has a large number of hyperparameters, a power system transient voltage stability assessment method based on deep forest (gcForest) is proposed. gcForest effectively extracts features through ensemble learning, multi-layer feature transformation, and dynamically adjusting the number of model layers. Finally, this method is applied to transient voltage stability assessment of an electrolytic aluminium load-intensive area in Guangxi power grid. The results show that the method has high accuracy, the feasibility and effectiveness of this method are verified. This method can assist dispatchers to judge the transient voltage stability of the power grid. © Published under licence by IOP Publishing Ltd.

关键词： Deep neural networks

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A High Precision location method for Substation personnel based on the Fusion of 3D Real-scene Map and foot Detection

A High Precision location method for Substation personnel ba...

引用

Artificial Intelligence and Electromechanical Automation (AIEA), International Conference on

作者： Yubo Zhang Yufeng Lu Wei Zhang Xu Liu Guangxi Key Laboratory of Intelligent Control and operation and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Nanning China Electric Power Research Institute of Guangxi Power Grid Co. Nanning China Southern Power Grid Research Institute Co. Ltd Guangzhou Guangdong China

ISBN: (数字)9798350366174

ISBN: (纸本)9798350366181

The existing personnel positioning methods require wearing transmitting devices on personnel and installing receiving devices inside substations, which cannot meet the accuracy requirements of personnel positioning in complex scenarios of substations. This article applies ankle joint detection to personnel positioning. Firstly, YOLOV4 tiny is used for personnel detection, followed by OpenPose for ankle joint point detection. Then, based on camera extrinsic parameters, the two-dimensional coordinates of the ankle joint point are mapped to a three-dimensional real-world map. Finally, the personnel positioning information is obtained. Due to the closer distance between the ankle joint and the ground, the positioning is more accurate, and the average confidence level of target recognition is 0.95, The recognition accuracy is 100%, the average positioning error is 0.05 m, and it can reach 0.02 m in key areas, fully meeting the actual needs of risk control for substation operators. The application of three-dimensional realistic maps combined with ankle joint detection in substation personnel positioning can not only achieve efficient, accurate, and stable personnel positioning, but also improve the intelligence and level of personnel positioning strategies.

关键词： Ankle Substations Accuracy Three-dimensional displays Target recognition Reliability theory Cameras Real-time systems Personnel Artificial intelligence

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The efficient detection and supervision for safety risk operation of power substation based on the improvement of YOLOV5

The efficient detection and supervision for safety risk oper...

引用

Energy Systems and Electrical power (ICESEP), International Conference on

作者： Yubo Zhang Yufeng Lu Wei Zhang Xu Liu Electric Power Research Institute of Guangxi Power Grid Co. Guangxi Key Laboratory of Intelligent Control and operation and Maintenance of Power Equipment Nanning China Electric Power Research Institute of Guangxi Power Grid Co. Nanning China Southern Power Grid Research Institute Co. Ltd Guangzhou Guangdong China

ISBN: (数字)9798350353563

ISBN: (纸本)9798350353570

The safety risk operation of power substation are harmful, but it is difficult to effectively supervise by existing traditional methods such as manual monitoring. In order to improve the accuracy and reliability of YOLOV5 for identification of safety risk operations, the following improvements are made for YOLOV5: (1) Mosaic-9 data enhancement was used in the input terminal; (2) Added the CA attention module in Backbone; (3) Neck used BiFPN feature fusion structure. By testing improved YOLOV5 network, it was found that the model performance MAP was improved by 4.6% compared with the previous model, and the improved network had faster convergence speed. The improved YOLOV5 achieves high-precision, high-efficiency and stable detection for safety risks such as unworn helmets and small animal intrusion, and realizes effective safety supervision for safety risk operation of power substation.

关键词： YOLO Training Substations Accuracy Training data Feature extraction Data models

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Research And Implementation Of Real-Time Accurate Simulation Platform For Large-Scale Stability control System 5

Research And Implementation Of Real-Time Accurate Simulation...

引用

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

作者： Zhu, Yihua Chang, Dongxu Guo, Qi Guo, Hengdao Hu, Binjiang Wu, Mingkang Zhu, Yukun Yu, Duo State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9781665434256

Based on the design characteristics of the stability control system, the control strategies of each station in the system are abstracted and integrated, and classified into standardized logic and customized logic. Based on the real-time digital simulation system platform, a three-layer architecture of the real-time simulation platform for the large-scale stability control system is designed. The standardized simulator based on FPGA/DSP and the customized simulator using device virtualization technology are designed in detail. The design scheme of the real-time accurate simulation platform for large-scale stability control system is proposed. From the perspective of hardware requirements, simulation accuracy, and platform adaptability, the differences between the simulation platform and the existing real-time digital simulation test platform are compared and analyzed. © 2021 IEEE

关键词： Simulation platform

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Transient voltage stability margin prediction method based on lightgbm 4

Transient voltage stability margin prediction method based o...

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4th International Conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2021

作者： Jie, Zhang Binjiang, Hu Qi, Guo Yihua, Zhu Zhiyuan, Sun Mingpo, Li Yan, Sun Electric Power Research Institute CSG State Key Laboratory of HVDC China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China CSG Key Laboratory of Power System Simulation Guangzhou China Guangxi Power Grid Electrical Power Research Institute Nanning China Guangxi Power Grid Dispatching Control Center Nanning China

ISBN: (纸本)9781665415965

Traditional time-domain simulation method has long calculation time on transient voltage stability margin prediction problem, the direct method is difficult to adapt to the complex power grid model, and the deep neural network method requires a large data set. In this paper, we propose the method based on LightGBM, which has the advantages of appropriate model complexity and less training time demand. Based on a regional subsystem of Guangxi power grid with more electrolytic aluminum load, and a power system transient voltage stability margin prediction model based on LightGBM is constructed. To solve the long tail distribution learning problem, target clipping and log transformation techniques are proposed to enhance the model. The effectiveness of them is verified by experiment results. And we propose a new metric, partial RMSE, to evaluate the performance of the model fitting the instability data. The experiment results also show that it has achieved better performance and training time than other machine learning models. © 2021 IEEE.

关键词： Forecasting

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Optimization Strategy for Virtual Energy Storage of Electric Vehicles to Participate in Multiple Ancillary Services

Optimization Strategy for Virtual Energy Storage of Electric...

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Clean Energy and Electric power Engineering (ICCEPE), International Conference on

作者： Qi Guo Haohan Gu Yifei Zhao Liang Tu Qifang Chen Haiqing Cai Wei Chen Zhihao Chen Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China School of Electrical Engineering Beijing Jiaotong University Beijing China

ISBN: (数字)9798350390315

ISBN: (纸本)9798350390322

When EVs participate in multiple ancillary services of the power grid, due to the lack of a unified management scheduling plan, various ancillary service demands compete for limited energy storage resources. This would lead to conflicts when the virtual energy storage of EV participates in the regulation of multiple ancillary services. In order to solve the above problems, a reasonable and feasible optimization strategy for virtual energy storage of EVs is formulated to alleviate the conflict problems of ancillary services. The validity of the proposed method is verified by simulation cases.

关键词： Economics Green energy Electric vehicles Linear programming Regulation power grids Optimization Frequency control Energy storage

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Mid-Iong Term Photovoltaic power Forecasting Method Considering Periodicity Characterization

Mid-Iong Term Photovoltaic Power Forecasting Method Consider...

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IEEE/IAS Industrial and Commercial power System Asia (I&CPS Asia)

作者： Minyi Zhuo Ming Yang Peng Li Yi Sun Rui Liu Zhijie Zheng Bingke Shi Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China Power Grid Planning Research Department Economic & Technology Research Institute of State Grid Shandong Electric Power Company Jinan China

ISBN: (数字)9798350352290

ISBN: (纸本)9798350352306

Accurate forecasting of mid-long term photovoltaic power plays a key role in site planning, operation scheduling and mid-long term plan development for new power system. Meanwhile, the uncertainty in solar power generation is a key factor influencing the precision of its forecasting. This paper proposes a mid-long term PV power forecasting method considering periodic characterization, which first obtains the key meteorological factors through the maximal information coefficient, and extracts the timing features through ARIMA model for mid-long term PV power periodic component prediction. Then the results obtained from above are inputted to the LSTM model, which is trained using raw data to obtain the final PV power prediction results with high accuracy. Validation is carried out through the model's RMSE, MAE and MAPE metrics and the comparison of the model's forecasting results with traditional GRU model.

关键词： Photovoltaic systems Accuracy Uncertainty Meteorological factors Predictive models Feature extraction Data models power systems Planning Forecasting

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A capacitor-type DC circuit breaker for offshore all-DC grids

A capacitor-type DC circuit breaker for offshore all-DC grid...

引用

Energy, power and Electrical Engineering (EPEE), International Conference on

作者： Qianqian Xu Qihui Liu Xipeng Cai Yihua Zhu Chao Luo State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China Laboratory of HVDC Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Guangzhou China Laboratory of HVDC Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China

ISBN: (数字)9798331518066

ISBN: (纸本)9798331518073

Full DC of offshore wind farms is the future development trend of large-scale offshore wind farms, however, the probability of DC line faults is high, and the use of DC circuit breakers can realise the fault ride-through of offshore full DC wind farms, improve the safe operation of the system during faults, and is one of the mainstream solutions to realise DC fault isolation. In this paper, a capacitive DC circuit breaker suitable for offshore full DC grid is proposed, which can effectively suppress the fault current by introducing a current limiting device. The topology and working principle of this circuit breaker are analysed, and the circuit breaker fault handling process is theoretically analysed. Finally, for the single-end equivalent system using capacitor-type DC circuit breaker, a simulation model is established in Matlab/Simulink software for verification, and the simulation results show that the proposed circuit breaker has a better current limiting effect and has the ability to isolate faults quickly.

关键词： Thyristors Limiting Circuit breakers Simulation Wind farms Software Topology Circuit faults Fault currents Switching circuits

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A Preliminary Study on the Application of Large Language Models in power System Simulations

A Preliminary Study on the Application of Large Language Mod...

引用

International Conference on power and Energy Technology (ICPET)

作者： Xinwei Sun Yunyang Xu Tannan Xiao Han Diao Shaowei Huang Bo Zhou Wei Wei State Grid Sichuan Electric Power Research Institute Chengdu China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

The digital update of power systems requires the support of intelligent application systems. Therefore, this paper investigates the utilization of a cutting-edge artificial intelligence technology called the Large Language Model (LLM) in power system simulations. The study provides a comprehensive overview of the key techniques employed in developing advanced simulation applications using LLMs, including retrieval-augmented generation and chain-of-thought prompting. Moreover, the paper showcases the development of two intelligent simulation applications on the CloudPSS, which is a high-performance cloud simulation platform for energy internet. The process of application development is described in detail, and the operational outcomes are presented to demonstrate the initial validation of the LLM's ability to initiate simulation tools and generate simulation codes.

关键词： Cloud computing Codes Large language models power system simulation power system dynamics Retrieval augmented generation Robustness power industry Security protection

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Research on Active Support control Strategy and its Performance of Renewable Energy power Station with Multiple Energy Sources

Research on Active Support Control Strategy and its Performa...

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

作者： Guanming Zeng Liang Tu Yihua Zhu Yun Hu Chao Luo Shengnan Li State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&D Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China Yunnan Power Grid Co. Ltd. Electric Power Research Institute Kunming Yunnan

The increasing integration of renewable energy reduces the inertia and frequency support capacity of the power system. The issue of frequency stability has become one of the core issues in the security and stability of power system and the efficient consumption of renewable energy nowadays. To improve the performance of renewable energy power station (REPS), based on the analysis of typical active support control logic and relative performance requirements of REPS with single energy source (SES), an active support control strategy and coordinated control logic of active power of REPS with multiple energy sources (MES) are proposed in this paper. The performance of proposed strategy is theoretically analyzed from the aspect of dominant energy source and the effect of the capacity of energy storage. The effectiveness of the proposed strategy and the accuracy of the theoretical analysis of performance are verified by realtime simulation.

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