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10th IEEE International power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia

作者： Qi, Sihang Hu, Kewei Wang, Zhan Ma, Ruodong Zhang, Yu Xiong, Binyu Wuhan University of Technology School of Automation Wuhan China Huazhong University of Science and Technology State Key Lab. of Adv. Electromagnetic Eng. and Technol. Sch. of Elec. and Electronic Engineering Wuhan China State Grid-Hubei-Electric Power Research Institute Wuhan China

ISBN: (纸本)9798350351330

To avoid the waste of oxygen, a byproduct of hydrogen production from electricity, this article proposes a new utilization scenario that combines renewable energy hydrogen production with sewage treatment, and supplies pure oxygen from hydrogen production to the aerobic aeration tank for sewage treatment. This scenario involves combining pure oxygen with air, achieving the optimal pure oxygen ratio through adjustment, and then being aerated by an aerator into an aerobic bioreactor. While achieving comprehensive utilization of hydrogen and oxygen, it greatly enhances the economy of renewable energy hydrogen production. A new application scenario for renewable energy hydrogen production is provided, and simulation results show that its daily operating cost is reduced by 67.5%. The energy consumption of the aerator is reduced by 28.5%, and the light rejection rate is reduced by 30%. © 2024 IEEE.

关键词： Oxygen

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Performance analysis of time synchronization precision of PTP in smart substations

Performance analysis of time synchronization precision of PT...

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IEEE International Symposium on Precision Clock Synchronization for Measurement, Control and Communication, ISPCS

作者： Hao Liu Jingcheng Liu Tianshu Bi Jinsong Li Wei Yang Daonong Zhang State Key Lab of Alternate Electric Power System with Renewable Energy Sources North China Electric Power University Beijing China Power Automation Department China Electric Power Research Institute Beijing China North China Power Engineering Co. Ltd of China Power Engineering Beijing China

ISBN: (纸本)9781467375962

The precision time protocol (PTP) is fundamentally recommended in smart substations, which could potentially result in further weakening the power system. However, defects of domestic PTP devices restrict the spread of the application of PTP in smart substations. In this paper, the computation of the PTP offset in different clock modes from the two editions of 1588 standards is analyzed theoretically. Test platforms are built to study the timing accuracy of PTP performance under certain circumstances. Especially, a time synchronizing precision test is conducted under the network dataflow including certain messages like PTP, Generic Object Oriented Substation Event (GOOSE) and Sampled Value (SV). In terms of synchronizing precision and stability, the “PTP straight link” test shows that P2P is better than E2E, and that ETH is better than UDP. And the effect of boundary and transparent clock shows that the one-step “P2P-ETH” transparent clock will fulfill the application requirement in smart substation. The last test indicates that the network traffic which consists of such messages enlarge the jitter of PTP synchronization. And comprehensively, the one-step “P2P-ETH” transparent clock is suitable in smart substation.

关键词： Clocks Synchronization Substations Switches Standards Delays

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Effect of O2on Partial Discharge Characteristic of C5F10O/CO2Gas Mixture

Effect of O2on Partial Discharge Characteristic of C5F10O/CO...

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2021 International Conference on Advanced Electrical Equipment and Reliable Operation, AEERO 2021

作者： Xia, Yalong Liu, Fan Wei, Zhuo Zhang, Xiaoxing Han, Pu Xiao, Song Li, Zhen Li, Yi Li, Yalong Research Institute State Grid Sichuan Electric Power Cheng Du China Wuhan University School of Electrical Engineering and Automation Wuhan China Hubei University of Technology Hubei Key Lab. for High-efficiency Utiliz. of Solar Ener. and Oper. Control of Energy Storage System Wuhan China

ISBN: (纸本)9781665402644

C5F10O, as a new eco-friendly gas insulating medium with great application potential, has attracted much attention from researchers. There are few studies on the partial discharge (PD) characteristics of C5F10O/CO2O2 gas mixture at present. In this paper, we used needle-plate electrodes to simulate the extremely inhomogeneous electric field caused by the defects of metal protrusions in electrical equipment and tested the partial discharge initial voltage (PDIV) of C5F10O/CO2O2 gas mixture. The effect of oxygen on the partial discharge characteristics of C5F10O gas mixture was revealed. We found that C5F10O gas mixture has an obvious polarity effect, and PDIV+ is always larger than PDIV-. The addition of oxygen reduces the PDIV- and PDIV+ of C5F10O gas mixture and the reduction effect on PDIV+ is more obvious. Therefore, the degrading effect of O2 on the partial discharge characteristics of C5F10O gas mixture should be considered and the proportion of oxygen in C5F10O gas mixture should be strictly controlled. © 2021 IEEE.

关键词： Partial discharges

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PV GROUND-FAULT DETECTION USING SPREAD SPECTRUM TIME DOMAIN REFLECTOMETRY (SSTDR)

PV GROUND-FAULT DETECTION USING SPREAD SPECTRUM TIME DOMAIN ...

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IEEE Energy Conversion Congress and Exposition

作者： Mohammed Khorshed Alam Faisal Khan Jay Johnson Jack Flicker Power Engineering and Automation Research Lab (PEARL) Dept. of Electrical and Computer Engineering University of Utah Salt Lake City Utah USA Sandia National Laboratories Albuquerque NM USA

ISBN: (数字)9781479903368

ISBN: (纸本)9781479903375

A PV ground-fault detection technique using spread spectrum time domain reflectometry (SSTDR) method has been introduced in this paper. SSTDR is a reflectometry method that has been commercially used for detecting aircraft wire faults. Unlike other fault detection schemes for a PV system, ground fault detection using SSTDR does not depend on the amplitude of fault-current and highly immune to noise signals. Therefore, SSTDR can be used in the absence of the solar irradiation as well. The proposed PV ground fault detection technique has been tested in a real-world PV system and it has been observed that PV ground fault can be detected confidently by comparing autocorrelation values generated using SSTDR. The difference in the autocorrelation peaks before and after a ground-fault in the PV system are significantly higher than the threshold set for ground-fault detection.

关键词： detection confidently generated Polydnaviridae Defect detection Earth faults SPREAD SPECTRUM fault currents time domain reflectometry inspection technique Autocorrelation solar radiation Solar Irradiance

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PV Arc-fault Detection using Spread Spectrum Time Domain Reflectometry (SSTDR)

PV Arc-fault Detection using Spread Spectrum Time Domain Ref...

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IEEE Energy Conversion Congress and Exposition

作者： Mohammed Khorshed Alam Faisal H. Khan Jay Johnson Jack Flicker Power Engineering and Automation Research Lab (PEARL) Dept. of Electrical and Computer Engineering University of Utah Salt Lake City Utah USA Sandia National Laboratories Albuquerque NM USA

ISBN: (纸本)9781479957774

A PV arc-fault detection technique using spread spectrum time domain reflectometry (SSTDR) method has been introduced in this paper. SSTDR is a reflectometry method that has been commercially used for detecting aircraft wiring faults although SSTDR could be potentially used for many other applications. We have used SSTDR for detection of both ground and arc faults in a PV array. It has been demonstrated that SSTDR can be used for detection of both series and parallel arcs, and it has the potential to predict the presence of future arc faults by detecting the change in impedance - even in absence of light or at very low solar irradiance. This method does not require frequency domain analysis of voltage or current signal and can detect the presence of arc regardless of the operating state of the inverter.

关键词： Circuit faults Correlation Arrays Fault detection Resistance Noise Hardware

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A Benchmark System for Hardware-in-The-Loop Testing of Distributed Energy Resources

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IEEE power and Energy Technology Systems Journal 2018年第3期5卷 94-103页

作者： Kotsampopoulos, Panos Lagos, Dimitris Hatziargyriou, Nikos Faruque, M. Omar Lauss, Georg Nzimako, Onyi Forsyth, Paul Steurer, Michael Ponci, F. Monti, A. Dinavahi, V. Strunz, Kai Smart Grids Research Unit School of Electrical and Computer Engineering National Technical University of Athens Zografou15780 Greece Department of Electrical and Computer Engineering Center for Advanced Power Systems Florida State University TallahasseeFL32310 United States Energy Department Austrian Institute of Technology Vienna1210 Austria RTDS Inc. WinnipegMBR3T 2E1 Canada Institute for Automation of Complex Power Systems E.ON Energy Research Center RWTH Aachen University Aachen52074 Germany Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 2V4 Canada SENSE Lab Berlin University of Technology Berlin10587 Germany

In order to overcome challenges associated with the integration of distributed energy resources (DER) into state-of-The-art and future power grids, a common basis for testing using appropriate benchmark systems is required. Real-time hardware-in-The-loop (HIL) simulation has proven to be an advanced and efficient tool for the analysis and validation of electric power systems and DER components. However, a common methodology for HIL testing of DER along with the required set of reference systems has not yet been developed. This task-force paper proposes a benchmark system for HIL testing incorporating DER into the real-time simulation environment. A low-voltage benchmark system with detailed HIL setup is proposed for the testing of DER performance. The modeling of DER for real-time applications is discussed, and the detailed laboratory procedures and setups for both controller HIL (CHIL) and power HIL (PHIL) are provided. Results from CHIL simulation related to the centralized controls and experimental results of PHIL simulation related to local control on the benchmark system substantiate the suitability of the proposed real-time simulation approach. © 2014 IEEE.

关键词： Hardware-in-the-loop simulation

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research on power Load Forecasting Method Based on LSTM Model

Research on Power Load Forecasting Method Based on LSTM Mode...

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IEEE Information Technology and Mechatronics engineering Conference (ITOEC)

作者： Can Cui Ming He Fangchun Di Yi Lu Yuhan Dai Fengyi Lv Beijing Key Lab of Research and System Evaluation of Power Dispatching Automation Technology (China Electric Power Research Institute) Beijing China State Grid Sichuan Electric Power Company Chengdu China School of Electrical and Information Engineering Changsha University of Science and Technology Changsha China

ISBN: (数字)9781728143231

ISBN: (纸本)9781728143248

power load forecasting is an important part of power system planning and the foundation of power system economic operation. It is very important for power system planning and operation. The LSTM forecast model is used to Get more accurate power load prediction results. According to the time series rule of power load, the LSTM prediction model for load prediction is established in this paper. A verification experiment has been done to reflect the effect of this method. Experimental results show that accuracy of power load prediction is increased by using LSTM model.

关键词： Load forecasting Load modeling Predictive models Logic gates Data models Time series analysis

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Data-Driven Output Containment Control of Heterogeneous Multiagent Systems: A Hierarchical Scheme 63

Data-Driven Output Containment Control of Heterogeneous Mult...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Sader, Malika Li, Wenyu Yin, Yanhui Li, Zhongmei Huang, Dexian Liu, Zhongxin He, Xiao Shang, Chao Tsinghua University Department of Automation Beijing100084 China Nankai University Coll. of Artif. Intell. Tianjin Key Lab. of Interventional Brain-Comp. Interface and Intelligent Rehab. Tianjin300350 China North-East Electric Power University School of Automation Engineering Jilin132000 China East China University of Science and Technology Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education Shanghai200237 China Tsinghua University Department of Automation Beijing National Research Center for Information Science and Technology Beijing100084 China

ISBN: (纸本)9798350316339

In this article, we propose a data-driven solution to the output containment control problem of multiagent systems characterized by heterogeneous and unknown dynamics. The proposed data-driven scheme is hierarchical, which includes a network layer and a physical layer, bypassing the traditional modeling exercise and eliminating the need for explicit state-space models. In the network layer, a fully distributed observer without knowing the dynamics of leaders is designed to generate a containment trajectory. A data-driven approach based on data sampled from an auxiliary system is developed to overcome the dependence on the explicit state-space models for design of control gains. This paves the way for deriving a datadriven solution to the regulator equation, which is derived by employing the data informativity condition and relevant data in the physical layer. The results demonstrate that the closedloop system is asymptotically stable, and the regulated output containment converges to zero. Compared to generic modelbased hierarchical schemes, the assumptions that the system matrices are completely known and homogeneous on system dynamics can be relaxed. © 2024 IEEE.

关键词： Hierarchical systems

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TRANSFER FUNCTION MAPPING FOR A GRID CONNECTED PV SYSTEM USING REVERSE SYNTHESIS TECHNIQUE

TRANSFER FUNCTION MAPPING FOR A GRID CONNECTED PV SYSTEM USI...

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IEEE Workshop on Control and Modeling for power Electronics

作者： Mohammed Khorshed Alam Faisal H. Khan Power Engineering and Automation Research Lab (PEARL) Dept. of Electrical and Computer Engineering University of Utah

ISBN: (纸本)9781467349154

Mathematical modeling of power electronic converters is a historical problem. Numerous efforts have been documented in literature to model different converter topologies and their control schemes since the 1940s. Traditional modeling approaches avoid transfer function derivation due to high degree of nonlinearity involved with the power converter's switched operation. In this paper, a simple transfer functions for a grid connected PV system is derived. First an ideal transfer function is derived from the steady state input and output relationship of ideal converters. Then, it is compared with the non-ideal model of a practical converter. Using this technique, it is possible to find generalized modules to represent a complex power converter, and it is possible to deduce new converter topologies using the reverse mapping.

关键词： Modeling power converter Grid PV Mapping Synthesis

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Transferable Neural Network Method Used for PMSM Permanent Magnet Temperature Estimation in Electrical Drive System

Transferable Neural Network Method Used for PMSM Permanent M...

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power System and New Energy Technology Innovation Forum (NPSIF), Boao New power System International Forum -

作者： Xiaotian Zhang Wangjie Lang Yiyang Zhao Chao Gong Yantai Research Institute Harbin Engineering University Yantai China Research Center for Intelligent Equipment Zhejiang Lab Hangzhou China Guigang Power Supply Bureau CSG Guangxi Power Grid Co. LTD. Guigang China School of Automation Northwestern Polytechnical University Xi'an China

ISBN: (数字)9798331504557

ISBN: (纸本)9798331504564

Nowadays, electric drive systems are increasingly used in many industrial scenarios, especially in electric vehicles (EVs). Many permanent magnet synchronous motors (PMSMs) lack stable and accurate temperature monitoring and can only rely on expensive motor designs to ensure safe operation at high temperatures. Temperature monitoring using traditional thermal modeling methods requires workers to have strong expertise, such as the selection of a priori parameters. This paper proposes a transferable estimation method for the temperature of the permanent magnets (PMs) of the motor rotor. The domain adaptation module is added to the 1-D convolutional neural network (CNN) to realize the transfer function of the training model. Before the model pre-training stage, the generative adversarial network (GAN) technique is applied to data augmentation for improving the generalization ability of the pre-trained model. Since the training of the domain adaptation module does not require labeled data, the model can be migrated across multiple different motors and more accurately estimate the temperature of the PMs. The final experimental part verifies the accuracy of this method through the professional measured temperature data of the PMSM. The mean square errors of proposed method are under 0.51.

关键词： Temperature measurement Temperature sensors Adaptation models Temperature distribution Temperature dependence Accuracy Estimation Predictive models Sampling methods Data models

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