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6th International Conference on power and Energy Technology, ICPET 2024

作者： Guo, Xiaoyu Fan, Libo Han, Rongjie Huang, Jiabin Shi, Yuchao Lai, Yibo Sun, Min Power System Wide Area Measurement and Control of the Key Laboratory of Sichuan Province University of Electronic Science and Technology Chengdu China State Grid Zhejiang Electric Power Company Hangzhou China

ISBN: (纸本)9798350375855

The sensing technology of the power system promotes the deep integration of energy network and data information and helps to build a new type of power system with deep integration of digital and system. It can ensure the stable operation of the power grid. RFID sensors are widely used as passive wireless sensors. While they still face the disadvantage of missing data information when the reader is not actively interrogated. In this paper, a shape memory polymer material is introduced and its thermo-mechanical property of deformation recovery above and below the glass transition temperature is exploited to design a temperature threshold sensor. By measuring the backscatter power of the RFID tag, whether the target exceeds the threshold temperature could be determined. This method can record historical information in a non-electric form when the reader is not actively interrogated, facilitating quick problem solving or troubleshooting. In this paper, a prototype of the SMP material was fabricated using 3D printing technology. And several reader-tag temperature threshold detection experiments at different distances were conducted. The results show that the SMP material recovers its deformation near 60 °C in the reader antenna field range. And the backscatter power amplitude of the two tags is significantly flipped. This validates the feasibility of temperature threshold sensors. When electrical equipment malfunctions lead to high temperatures, temperature threshold sensors can detect the malfunction and solve the hidden problem. © 2024 IEEE.

关键词： Antennas

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A Dynamic control Strategy for Enhancing the Energy Extracting Capability of Magnetic Field Energy Harvesters in Sensor Nodes of power Equipment 14

A Dynamic Control Strategy for Enhancing the Energy Extracti...

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14th International Conference on power and Energy systems, ICPES 2024

作者： Gao, Yuan Fan, Libo Huang, Jiabin Han, Rongjie Sun, Min University of Electronic Science and Technology of China Power system wide area measurement and control of the Key Laboratory of Sichuan Province Chengdu China The State Grid Zhejiang Electric Power Company Hangzhou China

ISBN: (纸本)9798350391329

With the widespread application of sensors nodes in power equipment, providing a stable energy supply for these sensors has become a significant challenge. Traditional batterypowered solutions are costly and difficult to install. The development of energy harvesting technology offers a new technical approach to address this challenge. This paper mainly investigates how to enhance the energy harvesting power of Magnetic Field Energy Harvesters (MEH) under conditions where the magnetic field around power equipment is limited. A dynamic control method is proposed to improve the energy harvesting power of MEH. The fundamental idea of dynamic control is to precisely control the MOSFETs in the rectifier, dynamically adjusting the switching times of the energy harvesting interval to be symmetric around the peak current of the primary side, thereby significantly enhancing harvesting efficiency. This method is particularly applicable when the magnetic core enters the soft saturation region, causing the energy harvesting interval to be less than T/2. Experimental results show that under constant voltage load, dynamic control effectively adjusts the energy harvesting interval, maximizing the current extracted during this interval, thereby effectively increasing energy harvesting power. Compared to passive rectification, active rectification under dynamic control increases the energy harvesting power by 76%, and the power factor of active rectification is 1.7 times that of passive rectification. The research findings provide important theoretical support and practical significance for the application of magnetic field energy harvesting technology in sensor nodes. © 2024 IEEE.

关键词： Sensor nodes

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Optimal Scheduling Model of Community Integrated Energy system Based on Cooperative Game Theory

Optimal Scheduling Model of Community Integrated Energy Syst...

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2023 Panda Forum on power and Energy, PandaFPE 2023

作者： Du, Jialin Zhang, Sen Luo, Shihua Yuan, Yiping Hu, Weihao School of Mechanical and Electrical Engineering Sichuan Provincial Key Lab of Power System Wide Area Measurement and Control University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350321173

Currently, a large number of community integrated energy systems operate independently and lack coordination and cooperation with each other. On the whole, the complementary coupling potential between energy production and consumption has not been fully explored, which is not conducive to the efficient utilization of clean energy. To solve the above problem, this paper proposes an optimal scheduling model of community integrated energy system considering integrated demand response and carbon tax. Moreover, based on cooperative game theory, this paper adopts the Sharpley value to achieve fair and reasonable distribution of cooperation profits. The case study results indicate that the energy sharing model proposed in this article can achieve better economic benefits. © 2023 IEEE.

关键词： Game theory

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Multi-objective resilient recovery strategy for urban wind-solar-MPS-EV electric system after disastrous events

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APPLIED ENERGY 2024年 369卷

作者： Xu, Yihao Xing, Yankai Zhang, Guangdou Li, Jian An, Haopeng Bamisile, Olusola Huang, Qi Univ Elect Sci & Technol China Sch Mech & Elect Engn Power Syst Wide Area Measurement & Control Key Lab Chengdu 611731 Sichuan Peoples R China Chengdu Univ Technol Coll Nucl Technol & Automat Engn Chengdu 610059 Sichuan Peoples R China Southwest Univ Sci & Technol Mianyang Peoples R China

The situation in an urban distribution network becomes intricate under high -impact, low -probability events. Furthermore, the growing quantity of components within the urban distribution network renders their analysis more challenging. Thus, the desired recovery strategy should not only meet the requirements of restoration rates but also guarantee a stable power supply. To address this issue, this paper proposes a multi -objective decision analysis framework, which consists of EV user requirements, MPS routing, and emergency repair crew schedule, to generate a more precise recovery strategy. These objectives' dynamic behaviors in the transportation network are transformed into spatiotemporal characteristic variables and introduced into inequality constraints. Also, the Wasserstein generative adversarial network with gradient penalty is employed in this framework to characterize solar and wind realistic output. By minimizing the weighted sum composed of MPS operational costs, EV user expenses, load loss, and voltage fluctuation, an optimized recovery strategy is provided to the grid operator. Case studies investigate the effectiveness of recovery strategy in IEEE 33 -bus and 123 -bus benchmark systems. The results indicate the proposed approach can effectively handle complex scenarios achieving rapid and reliable restoration, while also preserving regular charging behavior and maintaining a stable power voltage supply.

关键词： power system resilience Electric vehicles Distribution system restoration power quality High -impact and low -probability (HILP) events

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Data-driven load frequency cooperative control for multi-area power system integrated with VSCs and EV aggregators under cyber-attacks

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ISA TRANSACTIONS 2023年 143卷 440-457页

作者： Zhang, Guangdou Li, Jian Xing, Yankai Bamisile, Olusola Huang, Qi Univ Elect Sci & Technol China Sch Mech & Elect Engn Power Syst Wide Area Measurement & Control Key Lab Sichuan Prov Chengdu Sichuan Peoples R China Chengdu Univ Technol Sichuan Ind Internet Intelligent Monitoring & Appl Chengdu Sichuan Peoples R China Southwest Univ Sci & Technol Elect Engn Dept Mianyang Sichuan Peoples R China

This paper proposes a cooperative load frequency control (LFC) strategy based on a multi-agent deep reinforcement learning (MADRL) framework for the multi-area power system in the presence of voltage source converters (VSCs) and electric vehicle (EV) aggregators under cyber-attacks. Different from the existing LFC model, a novel transfer function of VSCs is first improved by the space-vector technique and integrated with EV aggregators to develop a multi-area training environment. By installing the agent in different control areas and interacting state transition information between agents and the new environment, the MADRL-based control strategy is achieved for centralized training and decentralized execution. Thus, the proposed MADRL method can coordinate thermal turbines, VSCs, as well as EV aggregators in the different control areas. Furthermore, a suitable cyber-attack model that can circumvent bad data detection (BDD) is reconstructed according to the perspective of adversaries for the LFC system. Then the double critic networks and parameter updating policy are designed to eliminate and mitigate the fluctuations caused by cyber-attacks. The comparative simulation with other control strategies on a three-area test power system demonstrates the superior performance of the proposed MADRL-based approach.

关键词： Load frequency cooperative control Multi-agent deep reinforcement learning Voltage source converter Electric vehicle aggregators Cyber-attacks

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Vulnerability analysis and modeling false data injection attack against voltage source converter in renewable generation power system

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ISA TRANSACTIONS 2023年 143卷 492-502页

作者： Xing, Yankai Zhang, Guangdou Li, Jian Bamisile, Olusola Cai, Dongsheng Huang, Qi Univ Elect Sci & Technol China Sch Mech & Elect Engn Power Syst Wide Area Measurement & Control Key Lab Chengdu Sichuan Peoples R China Chengdu Univ Technol Sichuan Ind Internet Intelligent Monitoring & Appl Chengdu Sichuan Peoples R China Southwest Univ Sci & Technol Elect Engn Dept Mianyang Sichuan Peoples R China

With the increasing penetration of renewable resources, more power electronic devices that need communi-cation with control centers may bring a novel risk of cyber attacks. This paper investigates the vulnerability of the hierarchical control and proposes a false data injection attack (FDIA) constructing algorithm against voltage source converters. The attack can be accomplished via a physical attack generator or falsification via attacking supervisory control and data acquisition system. By developing the FDIA model against state estimation, the proposed attack model can circumvent bad data detection in the secondary control loop. The tests are carried out on a single converter infinite bus benchmark and an IEEE 34-bus system. The results show that the proposed attack model can mislead the system to produce threatening oscillation.

关键词： Voltage source converter Renewable generation False data injection attack Cyber-physical power system

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A Two-Stage Robust Scheduling Strategy for Multi-Energy Microgrid Considering Multiple Uncertainties 8

A Two-Stage Robust Scheduling Strategy for Multi-Energy Micr...

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8th International Conference on power Energy systems and Applications, ICoPESA 2024

作者： Zhang, Sen Hu, Weihao Cao, Xilin Zhao, Yincheng Liu, Rundong Ma, Haojie Zhan, Wei Li, Mingxuan School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Sichuan Provincial Key Lab of Power System Wide Area Measurement and Control Chengdu China School of Management and Economics Beijing Institute of Technology Beijing China SPIC Southwest Energy Research Institute Chengdu China

ISBN: (纸本)9798350351668

To achieve the economic operation of a multi-energy micro grid under multiple uncertain environments, this study introduces a novel two-stage robust scheduling approach, encompassing both day-ahead planning and real-time adjustments. First, the multi-energy micro grid day-ahead economic dispatch model is constructed based on the prediction scenarios, and integrated demand response is considered to increase the flexibility of the system. Afterwards, the strategy is adjusted in the real-time phase, considering the uncertainty of energy production and consumption. The Column-and-Constraint Generation algorithm is employed to resolve the above two-stage issues effectively, and the optimal economic operation strategy of the MEMG is obtained. Finally, a case study demonstrates the economy and robustness of the proposed methodology. © 2024 IEEE.

关键词： Demand response

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A Novel All-phase Fast Fourier Transform-based Parameters Identification of High Frequency Oscillations 60

A Novel All-phase Fast Fourier Transform-based Parameters Id...

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60th IEEE/IAS Industrial and Commercial power systems Technical Conference, I and CPS 2024

作者： Sun, Feiyu Cai, Dongsheng Zhang, Zhenyuan Huang, Qi University of Electronic Science and Technology of China Sichuan Provincial Key Lab of Power System Wide-Area Measurement and Control School of Mechanical and Electrical Engineering Chengdu611731 China Chengdu University of Technology College of Nuclear Technology and Automation Engineering 610059 China Southwest University of Science and Technology School of Information Engineering Sichuan Mianyang China

ISBN: (纸本)9798350345308

Wind and solar energy inverter-based resources (IBRs) has been employed extensively with the aim of carbon neutrality. power systems also make extensive use of power electronic converters, leading to interactions between IBRs and with the grid, causing high frequency oscillation (HFO) problems. It damages equipment and jeopardizes the security of the system. To identify HFO components above 100 Hz, this research use Phasor measurement Unit (PMU) instantaneous value data to determine the HFO associated characteristics. To reduce the influence of spectral leakage and the fence effect, as well as to improve the identification accuracy of the related parameters, this paper adopts the RV self-convolutional window based Discrete Fourier Transform (DFT) and the Hanning double-window based all-phase Fast Fourier Transform (apFFT) hybrid algorithm to identify the HFO modal parameters. We take into account the identification accuracy in complex cases, such as non-nominal frequencies, with noise effects and multiple HFO modes. The simulation results show that the proposed method has high identification bandwidth, accuracy and strong flexibility. © 2024 IEEE.

关键词： Discrete Fourier transforms

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Passive Temperature Threshold Sensors Based on RFID and Shape Memory Polymer for power system Monitoring

Passive Temperature Threshold Sensors Based on RFID and Shap...

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International Conference on power and Energy Technology (ICPET)

作者： Xiaoyu Guo Libo Fan Rongjie Han Jiabin Huang Yuchao Shi Yibo Lai Min Sun Power System Wide Area Measurement and Control of the Key Laboratory of Sichuan Province University of Electronic Science and Technology Chengdu China The State Grid Zhejiang Electric Power Company Hangzhou China

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

关键词： Temperature sensors Temperature measurement Temperature Shape Deformation Switched mode power supplies Sensor systems Sensors Polymers Backscatter

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A power Management Circuit with Supercapacitors for Magnetic Field Energy Harvesting system in power Transmission Lines

A Power Management Circuit with Supercapacitors for Magnetic...

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International Conference on power and Energy Technology (ICPET)

作者： Yuan Gao Libo Fan Rongjie Han Jiabin Huang Ming Liu Min Sun Power System Wide Area Measurement and Control of the Key Laboratory of Sichuan Province University of Electronic Science and Technology Chengdu China The State Grid Zhejiang Electric Power Company Hangzhou China

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

For magnetic energy harvesting systems, power management circuits play a very important role in the system. This paper introduces an energy management circuit for the energy collection system, which can efficiently deposit the collected energy into the load. The energy management circuit is mainly composed of supercapacitor and MCU. The supercapacitor is used as a start-up excitation and energy storage element. A low power MCU is employed to control the synchronous rectifier circuit Three operating modes based on the primary transmission line current are proposed. The system can switch between the three operating modes autonomously. The system is verified through experiments and effectively achieves steady-state operation and efficient energy management.

关键词： power transmission lines power supplies power system management Circuits Supercapacitors Batteries Energy harvesting Magnetic fields Magnetic circuits Switching circuits

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