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IEEE Student Conference on Electric Machines and systems

作者： Bin Yuan Yan Yu Yongqi Cen Zhenxin Sun Meiqiao Li Yixiao Sun Yanqi Su Donglai Wang School of New Energy Shenyang Institute of Engineering Shenyang China State Grid Liaoning Extra High Voltage Company Shenyang China Key Laboratory of Regional Multi-energy System Integration and Control of Liaoning Province Shenyang Institute of Engineering Shenyang China

ISBN: (数字)9798350366945

ISBN: (纸本)9798350366952

The condition assessment method of the Insulated Gate Bipolar Transistor (IGBT) devices is investigated in this paper. Simulation models in 2D and 3D are constructed based on the finite element models, and the differences between the two models are compared. To improve the accuracy of the 2D model and meet the requirements of digital twin technology, based on the 3D simulation physical model to correct the 2D computational results, the 3D segmented reconstruction method was proposed. By constructing a mathematical model, the output results of the 2D and 3D models were segmented and fitted to derive the corresponding relationship formulas for each segment. Using these formulas to optimize the computational results of the 2D model significantly improved the simulation speed while ensuring high accuracy, meeting the real-time and accuracy requirements of digital twin technology.

关键词： Insulated gate bipolar transistors Solid modeling Three-dimensional displays Accuracy Computational modeling Simulation Two-dimensional displays Fitting Mathematical models Digital twins

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Short-Term multi-energy Load Forecasting Based on Feature Reconstruction and TCN-Informer

Short-Term Multi-Energy Load Forecasting Based on Feature Re...

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IEEE Student Conference on Electric Machines and systems

作者： Mofan Wei Jiaqi Shi Tieyan Zhang Yan Zhao He Jiang Yutong He School of Electrical Engineering Shenyang University of Technology Shenyang China Key Laboratory of Regional Multi-energy System Integration and Control of Liaoning Province Shenyang China Huadian Electric Power Research Institute CO. LTD. Shenyang China

ISBN: (数字)9798350366945

ISBN: (纸本)9798350366952

With the diversification of user energy and coordinated operation development of the integrated energy system, the coupling relationships between different energies becomes increasingly complex, which brings great challenges to short-term multi-energy load forecasting. Considering inadequate correlation analysis of influence factors and insufficient model learning ability to implicit coupling relationships, a short-term multi-energy load forecasting method is proposed based on feature reconstruction and TCN-informer. Firstly, the day-scale feature is screened and optimal feature sets are reconstructed via correlation analysis between load and influence factor time series in specific date. Secondly, combining TCN and informer network, the multi-energy load forecasting model is built via multi-task learning architecture. The input layer is composed of TCN, which can extract key information and temporal correlation of the input data. The shared layer is composed of Informer network, which can excavate inner relation between different loads effectively. Finally, simulation data sets generate from integrated energy system of the Tempe campus at Arizona State University. Prediction indicator comparison confirms effectiveness and superiority of feature reconstruction and TCN-informer multi-energy load forecasting model.

关键词： Couplings Correlation Load forecasting Time series analysis Neural networks Predictive models Reconstruction algorithms Feature extraction Data mining Load modeling

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Steady-State Modeling and Power Flow Calculation of Integrated Electric-Gas Coupling energy system Based on energy Circuit Theory 7th

Steady-State Modeling and Power Flow Calculation of Integrat...

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7th International Conference on Life system Modeling and Simulation, LSMS 2021, and 7th International Conference on Intelligent Computing for Sustainable energy and Environment, ICSEE 2021

作者： Liu, Shuai Yin, Xiaoju Zhao, Yan Wang, Donglai Shenyang Institute of Engineering Shenyang Liaoning110136 China Key Laboratory of Regional Multi-Energy System Integration and Control of Liaoning Province Shenyang Institute of Engineering Shenyang Liaoning110136 China

ISBN: (纸本)9789811672095

With the rapid development of P2G technology and gas turbine technology, the connection between the power system and natural gas system has become closer. Power flow calculation, as a basic application of energy network analysis, has formed mature but not uniform calculation models and methods in various energy networks. In order to promote the interdisciplinary integration of different energy networks, a new unified energy system model based on the unified energy loop theory is proposed in this paper. Particle Swarm Optimization algorithm (PSO) is used to numerically optimize the initial pressure, and the Newton method is used to solve the power flow of the electric-gas coupling integrated energy system. Finally, the feasibility and accuracy of the proposed method are verified in an electric-gas coupling system composed of the IEEE 14-node distribution system and 14-node natural gas system. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Gases

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On Short Term Photovoltaic Power Prediction Based on ITMBA-BP Algorithm 10

On Short Term Photovoltaic Power Prediction Based on ITMBA-B...

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10th IEEE Data Driven control and Learning systems Conference, DDCLS 2021

作者： Cao, Hanwen Zhao, Yan Ma, Yanjuan Graduate School Shenyang Institute of Engineering Shenyang110136 China New Energy College Shenyang Institute of Engineering Shenyang110136 China Key Laboratory of Regional Multi-energy System Integration and Control of Liaoning Province Shengyang110136 China

ISBN: (纸本)9781665424233

Photovoltaic power generation, with its clean, low-carbon and sustainable characteristics, is playing an increasingly important role in the formulation of national energy strategies. The photovoltaic power generation is affected by many factors. The traditional prediction method is not accurate to solve the high dimensional optimization problem, and it is easy to fall into the local optimal problem. In this paper, a collaborative algorithm based on improved adaptive T-distribution variation bat algorithm and traditional BP neural network (ITMBA-BP) is proposed. The improved bat algorithm is used to enhance the global coverage and the ability to solve high-dimensional optimization problems. The ITMBA algorithm is used to adjust the structure and parameters of the neural network, which enhances the global search capability of the BP neural network. Use real photovoltaic power plant data to predict and analyze the algorithm proposed in this paper, and compare it with the traditional BP algorithm. The simulation results show that ITMBA-BP algorithm has the advantages of high accuracy and small mean square error. It can effectively predict the change of power generation and has strong practical application value. © 2021 IEEE.

关键词： Mean square error

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Harmonic/Inter-harmonic Detection Method Based on Variational Mode Decomposition and Hilbert Transform

Harmonic/Inter-harmonic Detection Method Based on Variationa...

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Electronic Technology, Communication and Information (ICETCI), IEEE International Conference on

作者： Quanzheng Li Xinfu Pang Donglai Wang Key Laboratory of Regional Multi-Energy System Integration and Control of Liaoning Province Shenyang Institute of Engineering Shenyang China Tieling Power Supply Company State Grid Liaoning Electric Power Co. Ltd. Tieling China

In order to improve the detection accuracy of harmonics/inter-harmonics in power harmonic signals, a new harmonic detection method based on the combination of variational mode decomposition (VMD) and Hilbert transform (HT) is proposed. The intrinsic mode functions (IMF) are obtained by decomposing the harmonic signal using VMD, Then the characteristic parameters of each order IMF component, including instantaneous amplitude, instantaneous frequency and instantaneous energy, are obtained by combining HT transform. Simulations of four harmonic detection methods, such as VMD-HT, EEMD, HHT and FFT, are performed. The simulation results show that the VMD-HT method effectively overcomes the defects of HHT and FFT, which are sensitive to noise, in harmonic detection, and removes noise to a greater extent, which is conducive to improving the recognition accuracy and precision and better meets the practical application requirements.

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Research on the Optimization Scheduling Strategy of Virtual Power Plants Based on Conditional Value at Risk and Random Scenario Screening

Research on the Optimization Scheduling Strategy of Virtual ...

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IEEE Conference on energy Internet and energy system integration (EI2)

作者： Chunlong Li Heng Ji Jian Jiang Shiwei Song Bin Yuan Shuang Qiu Shuo Gao Minghao Du Graduate School Shenyang Institute of Engineering Shenyang China Liaoning Hongcheng Power Supply Co. Ltd Anshan China Yingkou Boiler and Pressure Vessel Inspection Institute Yingkou China Key Laboratory of Regional Multi-Energy System Integration and Control of Liaoning Province Shenyang Institute of Engineering Shenyang China School of New Energy Shenyang Institute of Engineering Shenyang China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

Virtual Power Plant (VPP) has become an effective way to improve the stability of power grid and the utilization rate of renewable energy because of its ability to aggregate various distributed energy sources into a whole. However, significant risk losses are faced by the VPP as it seeks to maximize income, owing to the fluctuations in wind power generation and photovoltaic output. A multi-source joint optimal scheduling model of virtual power plant based on Conditional Value at Risk (CVaR) and stochastic optimization is proposed. CVaR risk control is used to reduce the risk caused by fluctuation, and Latin hypercube sampling (LHS) and K-medoids clustering algorithm are combined to optimize the scene with uncertain wind and scenery, so as to improve the scheduling accuracy. The outcomes of the simulation indicate that an effective balance between benefits and risks can be achieved by the model under varying risk preferences, and improve the economy of VPP and the wind power consumption rate.

关键词： Photovoltaic systems Uncertainty Fluctuations Accuracy Stochastic processes Optimal scheduling Virtual power plants Wind power generation Loss measurement Wind forecasting

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Research on voltage restoration of island microgrid based on multi-agent fixed-time algorithm

Research on voltage restoration of island microgrid based on...

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2021 International Conference on Information Technology and Intelligent control, CITIC 2021

作者： Zhuang, Yan Zhao, Yan Wei, Mofan Liu, Qian Shao, Qianzhi School of Electric Power Shenyang Institute of Engineering Liaoning China Key Laboratory of Regional Multi-Energy System Integration and Control Liaoning Province China Information Center Liaoning China Institution Branch State Grid Liaoning Electric Power Supply Co. Ltd

This paper presents a distributed, robust and fixed-time secondary control for voltage restoration of an islanded microgrid with droop-controlled inverter-based distributed generators (DGs). The network inverter of AC microgrid is set as a multi-agent cooperating system, and voltage recovery can be regarded as a synchronization problem. Different from the existing distributed methods, the method in this paper can ignore the dependence on the initial conditions and the distributed controller based on consensus can restore the voltage magnitude of the island microgrid to the standard reference value in a fixed-time. In order to improve the stability, a fixed-time second-order convergent sliding mode surface is proposed. This method can quickly reach a consensus and has better anti-interference ability and robustness. Finally, the performance of the proposed control strategy is verified. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： multi agent systems

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Optimization of Sound Absorption and Insulation Performances of a Dual-Cavity Resonant Micro-Perforated Plate

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Fluid Dynamics & Materials Processing 2022年第2期18卷 481-496页

作者： Wei Chen Zhaofeng Guo Hongda Feng Sheng Hu Ling Lu Chuanmin Chen Xiaowen Wu Hao Cao State Grid Hunan Electric Power Co. Ltd.Electric Power Research InstituteChangsha410000China State Grid Corporation of China Power Facilities Noise and Vibration Laboratory Changsha410000China North China Electric Power University Department of Environmental Science and EngineeringHebei Provincial Key Laboratory of Coal-Fired Power Station Flue Gas Multi-Pollution Cooperative ControlBaoding071003China North China Electric Power University Key Laboratory of Regional Energy System Optimization Ministry of EducationBeijing102206China

This study investigates a dual-cavity resonant composite sound-absorbing structure based on a micro-perforated *** the COMSOL impedance tube model,the effects of various structural parameters on sound absorption and sound insulation performances are *** show that the aperture of the micro-perforated plate has the greatest influence on the sound absorption coefficient;the smaller the aperture,the greater is this *** thickness of the resonance plate has the most significant influence on the sound insulation and resonance frequency;the greater the thickness,the wider the frequency domain in which sound insulation is *** addition,the effect of filling the structural cavity with porous foam ceramics has been studied,and it has been found that the porosity and thickness of the porous material have a significant effect on the sound absorption coefficient and sound insulation,while the pore size exhibits a limited influence.

关键词： Micro perforated plate double cavity compound resonance structure sound absorption coefficient sound insulation

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Optimal Scheduling of energy Internet with VPP and energy Distributor under Master-Slave Game

Optimal Scheduling of Energy Internet with VPP and Energy Di...

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IEEE Conference on energy Internet and energy system integration (EI2)

作者： Kaixiang Yu Yan Zhao Jieyu Liu Xiaoxi Liu Chengze Li Tong Liu Qihang Zhao Bin Yuan School of Electric Power Shenyang Institute of Engineering Shenyang China Key Laboratory of Regional Multi-Energy System Integration and Control of Liaoning Province Shenyang Institute of Engineering Shenyang China State Grid Liaoning Marketing Service Center Shenyang China Liaoning Hongcheng Power Supply Co. Ltd. Anshan China School of New Energy Shenyang Institute of Engineering Shenyang China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

With the reform of the electricity market, the coupling relationship between sources and loads has gradually transformed into a complex competitive structure in which sources and loads interact with each other. The change of energy price will change the usage of load side, and the load usage will in turn affect the energy price. In order to better study the interaction between sources and loads, this paper introduces an energy distributor between the virtual power plant (VPP) and the user group, whose pricing strategy, which is higher than the feed-in tariff and lower than the time-of-use tariff, makes the energy distributor the first choice for the VPP to sell and the user group to buy. First, the revenues of the energy distributor and the VPP are modeled separately with the user groups' spending on purchasing energy as the objective function. Second, the game relationship between the revenues of energy distributors and VPPs and the spending of user groups is analyzed, and the Stackelberg game model is proposed to prove the existence and uniqueness of the equilibrium solution. Finally, the solution is carried out on Matlab by combining heuristic algorithm and solver. The results show that the game model proposed in this paper can not only effectively weigh the interests of energy distributors, VPPs and user groups, but also realize the win-win situation of energy distributors, VPPs and user groups, and provide an effective solution for comprehensive energy utilization.

关键词： energy Internet Tariffs Games Optimal scheduling Pricing Virtual power plants Linear programming Mathematical models Main-secondary Load modeling

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A DC-DC converter anti-interference system based on T-S fuzzy sliding mode control

A DC-DC converter anti-interference system based on T-S fuzz...

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2021 International Conference on energy, Power and Electrical Engineering, EPEE 2021

作者： Yu, Siqi Zhao, Yan Wang, Yuri You, Fucai Bai, Jinyu Shenyang Institute of Engineering Shenyang China Key Laboratory of Regional Multi-energy System Integration and Control of Liaoning Province Shenyang China Benxi High-tech Industrial Development Zone Power Supply Branch State Grid Liaoning Electric Power Co. Ltd. Benxi China

With the wide application of switching power supply, the research on its control method has become a hot spot at present, and DC-DC converter is one of the switching power supplies with the highest frequency. However, in daily use, the input voltage of the converter may fluctuate greatly, so it is very important to obtain a stable DC output voltage. Therefore, this paper proposes a nonlinear composite control strategy method based on T-S fuzzy sliding mode control for the system disturbance problem of DC-DC converter. After establishing the T-S fuzzy model, the variable structure control theory is added, and the sliding mode surface and sliding mode control law are designed and their stability is proved by Lyapunov function. The simulation results show that the proposed control method has a good control effect and can keep the system robust. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： DC-DC converters

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