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Electrical Engineering (CIYCEE), IEEE China International Youth Conference on

作者： Xingyu Zhou Dongsheng Cai Zhengyuan Zhang Peng Wang Arsalan Habib Khawaja Qi Huang College of Nuclear Technology and Automation Engineering Chengdu University of Technology China Sichuan Provincial Key Lab of Power System Wide-Area Measurement and Control School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China School of Information Engineering Southwest University of Science and Technology Mianyang China

The triangular arrangement of cables has the advantages of good magnetic field balance and compact structure, making it a commonly used arrangement in tunnel power cable lines. Accurate measurement of its current helps to make accurate judgment of the line operation status. However, the tunnel transmission method involves a complex line arrangement in a small space. Therefore, non-contact wide-range current measurement based on magnetic sensors is a better solution. In the face of uncertain magnetic interference in transmission tunnels, the use of magnetic shielding can suppress its effect on magnetic sensors. In this paper, an M-shaped magnetic shield structure is proposed for current measurement in a triangular arrangement with strong magnetic interference at random locations. Then, the thickness, position, axial length, gap width and location of the sensing areas of the structure were investigated. The effectiveness of the structure was verified by finite element analysis methods for measured currents of 200 to 2000 A. The structure was also validated by the finite element analysis method. The mean shielding uncertainty (MSU) of the shielding structure is verified to be 0.19% under the uncertainty of strong magnetic interference for a measured current of 2000 A. The M-shaped shielding structure is more resistant to interference than the C-shaped shielding structure and fits better into the triangular arrangement of the cable geometry.

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A Fair and Effective Approach to Managing Distributed Energy Resources Through Peer-to-Peer Energy Trading with Load Prioritization Among Smart Homes

SSRN

引用

SSRN 2023年

作者： Ahmed, Syed Adrees Huang, Qi Amin, Waqas Afzal, Muhammad Hussain, Fazal Haider, Muhammad Husnain 1Sichuan Provincial Key Lab of Power System Wide-Area Measurement and Control School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Sichuan China Chengdu University of Technology China National University of Sciences and Technology Pakistan Superior University Pakistan School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Sichuan China

This paper proposes a novel approach to managing distributed energy resources (DERs) through peer-to-peer (P2P) energy trading among smart homes, incentivizing peers to trade surplus energy to maximize social welfare. The proposed day-ahead demand-side management (DSM) technique considers load prioritization based on users' needs. It utilizes an energy allocation method that incentivizes peers to buy energy at a reduced price and sell energy at a higher price. This method maximizes the time of energy traded to higher-priority loads, followed by lower-priority loads while considering user choice. The proposed method results in an average reduction in energy costs from 14.8% to 2.82% for all consumers and an average increase in revenues from 17.35% to 9.07% for all prosumers compared to the grid and previously proposed studies. The simulation results show significant economic benefits for all market participants, improved community self-sufficiency, and reduced dependence on the main grid. The proposed methodology provides an effective and fair solution for managing DERs through P2P energy trading by prioritizing the load in smart homes, which describes its potential to create a sustainable and efficient energy ecosystem. © 2023, The Authors. All rights reserved.

关键词： Automation

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

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

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Annual Meeting Industrial and Commercial power systems Technical Conference

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

ISBN: (数字)9798350345308

ISBN: (纸本)9798350345315

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.

关键词： Accuracy Wind energy Simulation Discrete Fourier transforms Noise Bandwidth Hafnium oxide

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The Adequacy Model and Analysis of Swapping Battery Requirement for Electric Vehicles

The Adequacy Model and Analysis of Swapping Battery Requirem...

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IEEE power and Energy Society General Meeting

作者： Chang-Hua Zhang Jin-Song Meng Yong-Xing Cao Xin Cao Qi Huang Qing-Chang Zhong School of Energy Science and Technology of University of Electronic Science and Technology of China (UESTC) and Sichuan Provincial Key Lab of Power System Wide-area Measurement and Control of UESTC Chengdu Sichuan 611731 China. Since Oct. 2011 Changhu Sichuan Electric Power Research Institute No. 23 Qinghua Rd. Chengdu 610072 Sichuan China Department of Aeronautical and Automotive Engineering Loughborough University Leicestershire LE11 3TU UK

ISBN: (纸本)9781467327275

Compared with fossil fuel vehicles, plug-in hybrid electric vehicles (PHEVs) and electric vehicles (EVs) maintain obvious and profound significance for the less city pollutant and operation noise. Moreover, EVs can benefit operation of the power systems via friendly feeding back the energy stored in the EV batteries into the grids when needed. The related research about charging of batteries for EVs has been extensively developed, which is one of the main issues for the application of EVs. This paper focuses on the cooperation between the battery demand and the supply curve problems, when the charging of EV is operated in the swapping way. Firstly, the concept of the swapping battery requirement (SBR) adequacy is presented, and then the corresponding mathematical model is established and the algorithm based on the Monte Carlo method is proposed. In addition, some critical factors which have great influence on the SBR and reserved fully charged battery (RFCB) curves are demonstrated, such as EVs driving cycle, battery capacity, average energy-consuming level and charging time. Simulation results are presented to verify the proposed method.

关键词： Index Terms-- Adequacy Charging management Demand and supply Electrical Vehicle Monte Carlo method Plug-in Hybrid Electrical Vehicle Swapping battery requirement Vehicle-to-grid (V2G). Electric vehicles Batteries Swap charging Monte Carlo technique power systems SBR Mathematical Model ADEQUACY grids Analysis

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Nonlinear Virtual Inertia control of WTGs for Enhancing Primary Frequency Response and Suppressing Drive-Train Torsional Oscillations

arXiv

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arXiv 2020年

作者： Liu, Bi Huang, Qi Zhao, Junbo Milano, Federico Zhang, Yingchen Sichuan Provincial Key Lab of Power System Wide-area Measurement and Control University of Electronic Science and Technology of China Chengdu Sichuan611731 China Department of Electrical and Computer Engineering Mississippi State University StarkvilleMS39762 United States School of Electrical and Electronic Engineering University College Dublin Dublin Ireland National Renewable Energy Laboratory GoldenCO80401 United States

Virtual inertia controllers (VICs) for wind turbine generators (WTGs) have been recently developed to compensate the reduction of inertia in power systems. However, VICs can induce low frequency torsional oscillations of the drive train of WTGs. This paper addresses this issue and develops a new nonlinear VIC based on objective holographic feedbacks theory. This approach allows transforming the original nonlinear control into a completely controllable system of Brunovsky’s type. Simulation results under various scenarios demonstrate that the proposed method outperforms existing VICs in terms of suppression of low frequency drive-train torsional oscillations, enhancement of system frequency nadir as well as fast and smooth recovery of WTG rotor speed to the original MPP point before the disturbance. The proposed method is also able to coordinate multiple WTGs. Copyright © 2020, The Authors. All rights reserved.

关键词： Frequency response

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A Tokenized Blockchain-Based Energy Eco-system Over Integrated Automated Market Makers

SSRN

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SSRN 2024年

作者： Adjei-Arthur, Bonsu Bamisile, Olusola Xia, Qi da Silva Tavares, Eliezer Eliezer Gao, Jianbin Xia, Hu Chengdu611731 China Blockchain Research Institute of UESTC-Chengdu Jiaozi Financial Holding Group Co.Ltd Chengdu610095 China Sichuan Provincial Key Lab for Power Systems Wide-Area Measurements and Control University of Electronic Science and Technology of China Sichuan Chengdu China Sichuan Industrial Internet Intelligent Monitoring and Application Engineering Research Center Chengdu University of Technology Sichuan 610059 China

In a complex system of multiple entities coming together and transacting energy from various sources, incentivization and energy utilization are difficult to achieve due to inefficiencies in current mechanisms set up to generate, distribute, utilize, and manage energy within varying ecosystems. We provide a solution to this by proposing a tokenized blockchain-based renewable/non-renewable energy ecosystem built on Automated Market Makers with an underlying Constant Function *** this work, we proved the feasibility of achieving a more efficient means of trading, controlling, and managing energy from multiple RE/NRE energy sources using AMMs. In this approach, we remove the need for buyers and sellers’ influence in the energy market and provide an automated means of ensuring energy flow, pricing, and regulation without the need for third parties. We were able to maintain the decarbonization degree of the entire system through the deployment of the decarbonization mechanism at a cost of 584,213 Wei, proving a self-realizing decarbonization mechanism. We observed a cost of 1,255,219 Wei for both RE/NRE participants to engage the network, showing a faster means of transacting among energy parties. A cheaper cost of 2,497,561 Wei was achieved for setting up the network for trading, a cost of 2,500,666 Wei for rebalancing energy prices, and a cost of 1,836,918 Wei for the management of the entire network. Our results thus prove the ability of our proposed idea to ensure the effective generation, control, and distribution of energy across energy ecosystems. It also offers flexibility to address the complexity within energy ecosystems. Its incentivization mechanism ensures the continuous generation of rewards, ensuring the continuity of energy systems achieved by leveraging the transparency inherent in token mechanisms in blockchain technology. © 2024, The Authors. All rights reserved.

关键词： Smart contract

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AI-aided power electronic converters automatic online real-time efficiency optimization method

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Fundamental Research 2023年第3期5卷 1111-1116页

作者： Tang, Yuanhong Cao, Di Xiao, Jian Jiang, Chenying Huang, Qi Li, Yunwei Chen, Zhe Blaabjerg, Frede Hu, Weihao Power System Wide-area Measurement and Control Sichuan Provincial Key Laboratory School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu 611731 China MORNSUN Guangzhou Science & Technology Co. Ltd. Guangzhou 510663 China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu 611731 China Yangtze Delta Region Institute (Quzhou) University of Electronic Science and Technology of China Quzhou 324000 China Department of Chengdu State Grid Corporation of China Chengdu 610599 China Southwest University of Science and Technology Mianyang 621010 China Department of Electrical and Computer Engineering University of Alberta Edmonton AB T6G 2V4 Canada Department of Energy Technology Aalborg University Aalborg 9220 Denmark

Energy losses during the conversion and supply of electric power are considered a significant issue and cannot be estimated. Improvement in the efficiency of energy conversion systems is highly restricted because of their internal nonlinearity and complexity. Thus, inspired by the successful utilization of robotic chemists, we demonstrate a pioneering concept of artificial intelligence (AI)-aided automatic online real-time optimization of a power electronics converter using a dual active bridge (DAB) converter as an example. An optimal modulation strategy was obtained through repeated automatic exploration experiments on a practical DAB converter platform. Specifically, the DAB experimental platform operated autonomously around the clock for approximately 71 h. It performed 120,000 consecutive experiments (12,000 episodes) within a six-variable experimental space driven by a deep deterministic policy gradient (DDPG) algorithm. The proposed AI-aided automatic online real-time optimization method achieved significantly improved efficiency of power conversion and supply. Consequently, zero carbon emissions may be obtained in the future. © 2023

关键词： Artificial intelligence Automatic online real-time exploration DC-DC converter Dual active bridge converter Energy conversion system power electronics

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Blockchain for Energy Market: A Comprehensive Survey

arXiv

引用

arXiv 2024年

作者： Jiang, Tianqi Luo, Haoxiang Yang, Kun Sun, Gang Yu, Hongfang Huang, Qi Vasilakos, Athanasios V. Glasgow College University of Electronic Science and Technology of China Chengdu611731 China Key Laboratory of Optical Fiber Sensing and Communications Ministry of Education University of Electronic Science and Technology of China Chengdu611731 China Guangyuan Power Supply Company State Grid Sichuan Electric Power Company Guangyuan628033 China Peng Cheng Laboratory Shenzhen518066 China Sichuan Provincial Key Laboratory of Power System Wide-Area Measurement and Control University of Electronic Science and Technology of China Chengdu611731 China School of Information Engineering Southwest University of Science and Technology Mianyang621010 China Center for AI Research University of Agder Grimstad4879 Norway

The energy market encompasses the behavior of energy supply and trading within a platform system. By utilizing centralized or distributed trading, energy can be effectively managed and distributed across different regions, thereby achieving market equilibrium and satisfying both producers and consumers. Additionally, the energy market can address future production control and environmental concerns such as energy shortages and environmental deterioration. However, recent years have presented unprecedented challenges and difficulties for the development of the energy market. These challenges include regional energy imbalances, volatile energy pricing, high computing costs, and issues related to transaction information disclosure. These factors have hindered the smooth operation of the energy market. Researchers widely acknowledge that the security features of blockchain technology can enhance the efficiency of energy transactions and establish the fundamental stability and robustness of the energy market. This type of blockchain-enabled energy market is commonly referred to as an energy blockchain. Currently, there is a burgeoning amount of research in this field, encompassing algorithm design, framework construction, and practical application. It is crucial to organize and compare these research efforts to facilitate the further advancement of energy blockchain. This survey aims to comprehensively review the fundamental characteristics of blockchain and energy markets, highlighting the significant advantages of combining the two. Moreover, based on existing research outcomes, we will categorize and compare the current energy market research supported by blockchain in terms of algorithm design, market framework construction, and the policies and practical applications adopted by different countries. Finally, we will address current issues and propose potential future directions for improvement, to provide guidance for the practical implementation of blockchain in the

关键词： Deterioration

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