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25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024

作者： Zhang, Ziye Wang, Jichen Xu, Liang Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin China

ISBN: (纸本)9798350366600

As lithium-ion batteries undergo more charge and discharge cycles, their state of health (SOH) progressively deteriorates. To address this issue, a method is proposed for estimating the SOH lithium-ion batteries by optimizing a BP neural network with an improved sparrow search algorithm (ISSA). The introduction of the curve adaptive strategy and golden sine strategy into the standard sparrow search algorithm addresses the issue of local convergence in the middle and late iterations, thereby enhancing its global optimization ability. Consequently, this improved algorithm is employed to optimize the thresholds and weights of a BP neural network, leading to improved estimation accuracy. © 2024 IEEE.

关键词： State of charge

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Research on Energy Management Strategies for Fuel Cell Vehicles Based on Improved Rules 25

Research on Energy Management Strategies for Fuel Cell Vehic...

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25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024

作者： Yan, Ruihao Xu, Liang Zhao, Xuchao Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin China

ISBN: (纸本)9798350366600

In order to improve the energy economy and power system reliability of fuel cell hybrid electric vehicle (FCHEV), the conventional power following strategy was first improved and then a fuel cell operation control state machine was designed to reduce the lifetime degradation of the fuel cell by decreasing the number of fuel cell starts and stops and the output power fluctuation. To confirm the strategy's efficacy, separate models for the overall vehicle energy management strategy and vehicle dynamics were established using Simulink and Cruise. These models were then jointly simulated under the CLTC-P driving scenarios. Compared to the traditional powerfollowing control strategy, the fuel cell's equivalent hydrogen consumption had decreased by 8.38% and the number of startstop cycles has reduced by 50%. The proposed strategy improves the energy efficiency of the vehicle and also extends the fuel cell's lifespan. © 2024 IEEE.

关键词： Composite energy Energy management strategy Finite state machine Fuel cell Lithium-ion battery

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SAE-BiLSTM-Attention for PEMFC Fault Diagnosis 25

SAE-BiLSTM-Attention for PEMFC Fault Diagnosis

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25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024

作者： Zhang, Ziye Wang, Jichen Xu, Liang Meng, Xiangang Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin China

ISBN: (纸本)9798350366600

To solve the challenge of fault diagnosis in proton exchange membrane fuel cells (PEMFC), this paper proposes a fault diagnosis framework. It integrates sparse self-encoder (SAE) and Bi-directional long and short-term memory network (BiLSTM) with attention. The framework is designed to diagnose two primary types of faults: flooding and membrane dehydration in the PEMFC system. The 14-dimensional original features of the PEMFC test system are firstly downscaled using SAE to obtain a 7-dimensional feature representation;then the downscaled features are inputted into the BiLSTM-Attention fault diagnosis model for fault identification of the PEMFC. Experiments on the real test dataset show that the proposed SAE-BiLSTM-Attention model achieves an overall classification accuracy of 99.2%, which is better than that of the models using BiLSTM or BiLSTM-Attention, and verifies the effectiveness of the framework in PEMFC fault diagnosis. © 2024 IEEE.

关键词： Fault detection

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Numerical Calculation Analysis of Dynamic Electromagnetic Fields in High-speed Electromagnetic Launcher 25

Numerical Calculation Analysis of Dynamic Electromagnetic Fi...

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25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024

作者： Liu, Ping Zhu, Lihua Gu, Yuxi Hao, Jianying Tian, Zihao Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin China

ISBN: (纸本)9798350366600

To investigate the spatiotemporal distribution characteristics of the electromagnetic field during the operation of high-speed electromagnetic launcher, a three-dimensional transient electromagnetic field calculation model is established in this paper to solve the electromagnetic field under high-speed motion conditions. Firstly, by combining Maxwell's equations, dimensional transient electromagnetic field governing equations are derived. Secondly, the calculations are conducted using a finite element-based moving conductivity method. The material properties of the moving region are assigned with varying values based on displacement to simulate the armature, thereby eliminating the issue of oscillatory solutions caused by the rapid movement of grid nodes in traditional finite element methods. The spatiotemporal distribution of the magnetic field during the high-speed motion of the armature is obtained, and a comparative analysis is conducted between the numerical results of the armature in static and moving conditions. The results indicate that during high-speed armature motion, the velocity vortex current term weakens the main current, thus reducing the electromagnetic force. The maximum electromagnetic force calculated using the moving conductivity method is 30.52 kN, approximately 2.2 kN lower than that calculated for a static armature. Furthermore, the maximum magnetic flux density value along the central axis of the dynamic armature is slightly lower than that of the static armature, which is experimentally verified to be closer to the actual launch state. This study provides a data foundation for the unified design method of electromagnetic comprehensive performance and reliability of electromagnetic energy equipment under extreme conditions. © 2024 IEEE.

关键词： Maxwell equations

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Multi-arm Bandit-based Electric Vehicle Energy Management Considering User Behavior Uncertainty 6

Multi-arm Bandit-based Electric Vehicle Energy Management Co...

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

作者： Li, Li Fan, Shuai Zou, Kaiming Zhu, Moyan Zhang, Yi He, Guangyu Key Laboratory of Control of Power Transmission and Conversion Shanghai Jiao Tong University Minhang District Shanghai200240 China

ISBN: (纸本)9798350375855

The effective energy management of Electric Vehicles (EVs) can optimize energy utilization and promote the systematic operation of the power grid. However, the uncertainty and stochasticity of EV users' charging/discharging behaviors may deviate from the desired goals and cause unnecessary costs, deteriorating the energy management performance. Therefore, a strategic EV energy management based on the Multi-Arm Bandit (MAB) approach is proposed in the present study to maximize the profit of each EV. In the proposed MAB model, the behaviors of each EV user are considered as three arms. Under the EV battery safety threshold, the optimal arm is selected to achieve cost savings. The case study shows that the approach can fully satisfy the user's charging demand and obtain the optimal strategy through online decision-making. © 2024 IEEE.

关键词： Stochastic models

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User-side Abnormal power Consumption Detection Method Based on High-dimensional Random Matrix 25

User-side Abnormal Power Consumption Detection Method Based ...

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25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024

作者： Gao, Jiaming Kong, Xiangyu Zhang, Delong Xu, Xihao Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin China

ISBN: (纸本)9798350366600

To accurately grasp the abnormal electricity usage behavior of users on the distribution network side, the application of user electricity risk hazard identification feature extraction and recognition technology is used to achieve a sense of security in electricity usage and a strategy for intelligent, digital user electricity risk early warning push services is proposed. The collected power grid operation data is analysed and modeled based on the random matrix theory. By characterizing the statistical properties of the matrix, the power consumption information is visualized, and a method for identifying abnormal power consumption and meter faults is proposed. This method analyses the fluctuation characteristics of the eigenvalues and gives the specific steps for applying the random matrix theory to the location of abnormal areas of user power consumption. It can also realize the feature discovery of abnormal power consumption points on the user side and then determine abnormal power consumption behavior. The case study shows that this method is highly reliable and accurate. © 2024 IEEE.

关键词： Eigenvalues and eigenfunctions

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Adaptive Regression Approach of Equivalent Factor for Equivalent Consumption Minimization Strategy 25

Adaptive Regression Approach of Equivalent Factor for Equiva...

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25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024

作者： Yang, Jinbo Du, Mingxing Zhang, Cong Wang, Gengji Transmission and Intelligent Control Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Tianjin China

ISBN: (纸本)9798350366600

An equivalent factor (EF) adaptive regression equivalent consumption minimization strategy (EAR-ECMS) is introduced to enhance the fuel economy of a hybrid powertrain in this brief. Firstly, an ECMS control framework is established, grounded in the modeling of power plug-in hybrid electric vehicles (PHEVs). Secondly, leveraging the traffic information system, the reference trajectory of state of charge (SOC) is determined in real-time by using a Markov-chain predictor. Subsequently, an EAR-ECMS is formulated by integrating the bisection method and polynomial penalty subfunction, following an analysis of the relationship between the value of the penalty function, the oscillation amplitude of the EF, and the fuel economy of the vehicle. Finally, simulation results are executed to verify that EAR-ECMS can effectively enhance the robustness of battery SOC and the overall vehicle's fuel economy, compared with the thermostat control strategy (TCS) and A-ECMS. © 2024 IEEE.

关键词： Plug-in hybrid vehicles

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An Improved Super-Twisting Sliding Mode controller Over Totem-Pole power Factor Corrector 27

An Improved Super-Twisting Sliding Mode Controller Over Tote...

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27th International Conference on Electrical Machines and Systems, ICEMS 2024

作者： Shen, Yihe Ye, Siwen Wei, Mingou Ling, Zhibin Yang, Xi-Jun Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai200240 China

ISBN: (纸本)9784886864406

The duty ratio of the Totem-Pole PFC will significantly change near the zero-crossing point of the grid voltage, resulting in potential overshoot and slow dynamic response when using Proportional-Integral control. Meanwhile, the conventional sliding mode algorithm leads to chattering phenomenon and noticeable current distortion near the zero-crossing point. To reduce this zero-crossing distortion, various methods can be designed. However, it is crucial to focus on improving control strategies for enhanced universality and versatility. In this study, an improved Super-Twisting Sliding Mode controller is proposed by selecting a suitable sliding surface and introducing either the square of the error or the square difference of the error with feedback as controller inputs. Simulation and experimental results show that this approach effectively accelerates system dynamics, enhances steady-state performance, improves input current waveform at zero-crossing point of the grid voltage, increases input power factor, and reduces input current total harmonic distortion. © 2024 The Institute of Electrical Engineers of Japan.

关键词： Sliding mode control

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A novel wind power converter for increasing output voltage of generator-converter unit and analysis of its characteristics

A novel wind power converter for increasing output voltage o...

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2023 IEEE Sustainable power and Energy Conference, iSPEC 2023

作者： Lv, Wei Hu, Xiangyu Zhou, Yang Gong, Sijin Lin, Liguang Mou, Xiaoning Key Laboratory of Control of Power Transmission and Conversion China Shanghai Aerospace Control Technology Institute China

ISBN: (纸本)9798350322699

The power of offshore wind power converters is increasing day by day. With the improvement of power levels , the problem of twisted cables in the tower is becoming more and more serious in wind power systems that use low-voltage parallel topology. Therefore , this paper proposes a new type of wind power converter that can increase the output voltage of the generator-converter unit. The new-type converter adopts two-level converter cascade connection on the machine side and three-level converter on the grid side to form a medium and low voltage hybrid wind power converter. The medium and low voltage hybrid topology still use low voltage generators, but the increase in the voltage level of the grid-side converter reduces the number of cables required, effectively solving the problem of twisted cables. Aiming at the new type of wind power converter, this paper analyzes its voltage characteristics and validates it through simulink simulation, which shows that under the new topology , the generator insulation requirements are not qualitatively improved. After that, this paper analyzes the neutral point potential balance of the grid-side converter , and proposes an improved virtual space vector modulation strategy. This strategy can achieve mid-point potential balance under high modulation degree, and the mid-point potential balance capability is verified by RTLAB hardware-in-the-loop experiments. Finally , this paper analyzes the efficiency and cost of the new wind power converter, and points out that under the same power level, the new wind power converter lower voltage parallel wind power converter has significant efficiency and cost advantages. © 2023 IEEE.

关键词： cost efficiency Medium and low voltage hybrid topology neutral-point potential balance voltage characteristics

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Adaptive Mitigation control for Wideband Oscillations of Offshore Wind Farms With MMC-HVDC System

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CSEE Journal of power and Energy Systems 2025年第1期11卷 208-216页

作者： Yiming Rao Jing Lyu Yifan Wang Xu Cai The Key Laboratory of Control of Power Transmission and Conversion Ministry of EducationShanghai Jiao Tong UniversityShanghai200240China Science and Technology Research Institute China Three Gorges CorporationBeijing101199China

With offshore becoming the main battlefield of wind power generation,modular multilevel converter-based high-voltage DC(MMC-HVDC)transmission technology has become an ideal solution for offshore wind power integration and received rapid ***,wideband oscillation events have seriously threatened stable operation of power *** far,existing oscillation mitigation methods are usually designed for specific oscillation cases and are not capable of mitigating wideband *** order to mitigate various oscillations adaptively,this article proposes an adaptive wideband oscillation mitigation control for MMC-HVDC system connected to offshore wind *** wideband impedance models of the wind farm side MMC(WFMMC)and offshore wind farm composed of permanent-magnetic synchronous generator-based wind turbine generators(PMSG-WTGs)are derived,respectively,which are verified by measured impedances from time-domain ***,a wideband oscillation mechanism is revealed by impedance-frequency *** this basis,an adaptive wide band oscillation mitigation control is proposed,and its working principle as well as implementation process are *** studies of a sub-/super-synchronous oscillation(SSO)event and a high-frequency oscillation(HFO)event of an offshore wind farm with MMC-HVDC system are carried out to verify effectiveness of the proposed adaptive wideband oscillation mitigation control.

关键词： Adaptive mitigation control MMC-HVDC offshore wind farm wideband oscillation

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