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Annual IEEE Conference on Applied power Electronics Conference and Exposition (APEC)

作者： Zheyuan Yi Zengyang Liu Kai Sun Bowen Su Department of Electrical Engineering State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China

power loss measurement and evaluation form the foundation of loss modeling and optimization. This paper proposes a method for evaluating power loss in high-frequency (HF) transformers operating under forced air-cooling conditions, simply based on surface temperature measurement with a thermal camera. A direct correlation is established between power loss and surface temperature, utilizing a simplified thermal network. This method enables the measurement of both total loss and individual core loss and winding loss directly for HF transformers operating within the whole range of normal working conditions. Simulations are conducted to validate the practicality and accuracy of the proposed method. Experiments are carried out on a HF transformer prototype, following the proposed loss evaluation process, validating the accuracy of the evaluated power loss within wide operation range in loaded tests.

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Optimal Scheduling of Active-Reactive power for PV-BES system Considering Voltage Support and Frequency Regulation

Optimal Scheduling of Active-Reactive Power for PV-BES Syste...

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Annual Conference of Industrial Electronics Society

作者： Jiamei Zhang Kai Sun Department of Electrical Engineering State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China

ISBN: (数字)9781665464543

ISBN: (纸本)9781665464550

The voltage support capability of renewable resources (RES) is emphasized by grid codes for stable and secure operation faced with grid faults. However, there is another problem occurs when the penetration of RES is boosting. The capability occupation due to injected power for voltage support leads to the decrease of output power for loads, which may result in frequency issues when the inertia of the system decreases. To guarantee the voltage and frequency security during fault ride through (FRT) process, this paper proposes an optimal scheduling scheme for PV-BES system considering voltage support and frequency regulation. In the optimal model, in order to map the voltage and frequency constraints into power constraints, the evaluation model of required injected power for voltage support is formulated firstly. Based on center of inertia theorem and time scale characteristics of FRT, the frequency deviation is represented by distributed generator (DG) adjustment. The voltage and frequency constraint are incorporated into the optimal scheduling model and the quasi-steady-state of the PV-BES system during FRT can be analyzed. The proposed method is fully tested, and the results demonstrate that with the proposed method, the voltage and frequency security can be well guaranteed.

关键词： Time-frequency analysis Renewable energy sources Job shop scheduling power quality Optimal scheduling Regulation Security Voltage control Frequency control power generation

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Advanced Photovoltaic Flexible power control Method Under Fast Changing Irradiance in Distributed PV-BESS system

Advanced Photovoltaic Flexible Power Control Method Under Fa...

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IEEE International Symposium on power Electronics for Distributed Generation systems (PEDG)

作者： Qiang Bi Kai Sun Department of Electrical Engineering State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China

ISBN: (数字)9798350361001

ISBN: (纸本)9798350361018

Flexible power control (FPC) for distributed PV-BESS systems has been presented in the past years to extend the service life of the energy storage unit. The photovoltaic(PV) works with the flexible power tracking mode to control the DC bus voltage, which can reduce the work of the energy storage unit. The existing FPC method works well with slow-changing irradiance. However, the DC voltage will be unstable when the irradiance changes fast or there is a change in the load. So, an advanced FPC method for PV is proposed in this paper. The proposed FPC keeps the DC voltage moving around the voltage reference with a limited wave. Compared with the existing FPC method, the proposed FPC for PV systems is much more effective under various working conditions. Followed by theoretical analysis, the simulation results validate the claimed advantages of the proposed solution.

关键词： Photovoltaic systems Employee welfare Simulation power control power electronics Distributed power generation Voltage control

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A Joint Estimation Method of SOC and SOH for Lithium-ion Battery Considering Cyber-Attacks Based on GA-BP

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Computers, Materials & Continua 2024年第9期80卷 4497-4512页

作者： Tianqing Yuan Na Li Hao Sun Sen Tan Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China Department of Electrical Engineering Northeast Electric Power UniversityJilin132012China College of Information and Control Engineering Jilin Institute of Chemical TechnologyJilin132022China Center for Research on Microgrids Department of EnergyAalborg UniversityAalborg9220Denmark

To improve the estimation accuracy of state of charge(SOC)and state of health(SOH)for lithium-ion batteries,in this paper,a joint estimation method of SOC and SOH at charging cut-off voltage based on genetic algorithm(GA)combined with back propagation(BP)neural network is proposed,the research addresses the issue of data manipulation resulting ***,anomalous data stemming fromcyber-attacks are identified and eliminated using the isolated forest algorithm,followed by data ***,the incremental capacity(IC)curve is derived fromthe restored data using theKalman filtering algorithm,with the peak of the ICcurve(ICP)and its corresponding voltage serving as the health factor(HF).Thirdly,the GA-BP neural network is applied to map the relationship between HF,constant current charging time,and SOH,facilitating the estimation of SOH based on ***,SOC estimation at the charging cut-off voltage is calculated by inputting the SOH estimation value into the trained model to determine the constant current charging time,and by updating the maximum available *** show that the root mean squared error of the joint estimation results does not exceed 1%,which proves that the proposed method can estimate the SOC and SOH accurately and stably even in the presence of false data injection attacks.

关键词： Lithium-ion batteries state of charge state of health cyber-attacks genetic algorithm back propagation neural network

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Influence of Thermal Conductivity of Multi-scale Particles Epoxy Composites on High-Frequency electrical Insulation Property

Influence of Thermal Conductivity of Multi-scale Particles E...

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IEEE International Conference on Dielectrics (ICD)

作者： Yan-Hui Song Zhi-Min Dang Department of Electrical Engineering State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China

ISBN: (数字)9798350308976

ISBN: (纸本)9798350308983

Epoxy, with excellent electrical insulation properties, processing performance, and low price, is commonly used for transformers (110kV and below) and power electronic transformers (high-frequency transformers) as the primary insulating material. Since the thermal conductivity of epoxy resins is only 0.2 W/(m·K), the electrical insulation properties decline significantly at high frequency. Preparing epoxy composites with high thermal conductivity and excellent electrical insulation at high frequencies is a great challenge for industrial production. It is considered that SiO 2 (9 eV), BN (5.9 eV), and Al 2 O 3 (7.2-8.8 eV) are thermally conductive particles with good electrical insulation properties. The materials filled with different micron-scale particles have higher thermal conductivity than the nanofilled materials. In this study, 5 μm SiO 2 , 25 μm BN, and 40 μm Al 2 O 3 were used as fillers, and the filler ratios were calculated according to the Dinger-Funk model, focusing on the effects of the variation of filler content on thermal conductivity and electrical insulation properties. The thermal conductivity of the epoxy composites improved with the increase of filler content up to 1.003 W/(m·K), while the AC breakdown field strength gradually decreased. However, the breakdown time at 20 kHz, 35 kV/mm bipolar square wave appeared to increase and then decrease with the increase of content. Therefore, the optimum content of fillers allows the preparation of efficient epoxy composites as insulating materials for power electronic transformers. This study provides ideas for designing thermally conductive composites operating at high frequency and high voltage fields.

关键词： Silicon compounds Insulation Electric breakdown High-voltage techniques Conductivity Thermal conductivity power electronics

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Small Signal Stability-Guaranteed Moving Target Defense Against Load Redistribution Attack On IoT-based Smart Grid

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IEEE Internet of Things Journal 2025年第11期12卷 17413-17429页

作者： Wang, Bingdong Zhang, Zhenyong Wang, Mufeng Liu, Mengxiang Ye, Rui Deng, Ruilong Zhang, Xin Guizhou University State Key Laboratory of Public Big Data College of Computer Science and Technology Guiyang550025 China China Industrial Control Systems Cyber Emergency Response Team Beijing100040 China University of Sheffield Department of Automatic Control and System Engineering Sheffield United Kingdom Guizhou Power Grid Co. Ltd. Intelligent Operation Center China Zhejiang University State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Hangzhou310027 China Huzhou Institute of Industrial Control Technology Huzhou313000 China

Moving target defense (MTD) is a promising approach to defend against load redistribution attacks on the internet-of-things (IoT)-based smart grid networks by probing the distorted state estimates with the distributed flexible AC transmission system. However, existing studies mainly focus on optimizing the performance of MTD and ignore the safety effect of it on the system’s operation. In this paper, we fill this gap by deeply analyzing the effect of MTD on the small signal stability and aim to alleviate the negative impact and guarantee its defending performance simultaneously. Firstly, the stability is formally described using the eigenvalue sensitivity. The relationship between the MTD-induced perturbation (MTDper) and the stability criteria is derived. Secondly, a new indicator is proposed to measure the effectiveness of MTDper. Thirdly, a constrained optimization problem is formulated to compute the bound of MTDper for guaranteeing the small signal stability. In addition, a surprising finding is that the stability margin can be improved and enhanced by optimizing the value of MTDper without losing the MTD’s effectiveness. Finally, we evaluate the performance of MTDper and its impact on the small signal stability with extensive simulations on the IEEE 30-bus, 39-bus, and 68-bus test power systems. © 2014 IEEE.

关键词： Constrained optimization

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MCMC Wind power Sequence Modeling Method Considering Climbing Direction

MCMC Wind Power Sequence Modeling Method Considering Climbin...

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2023 IEEE International Conference on power Science and Technology, ICPST 2023

作者： Hao, Ling Xu, Fei Chen, Lei Chen, Qun Min, Yong Gu, Yi Chang, Yiming State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing100084 China Tsinghua University Key Laboratory for Thermal Science and Power Engineering of Ministry of Education Department of Engineering Mechanics Beijing100084 China State Grid Liaoning Electric Power Co. Ltd Liaoning 110055 China

ISBN: (纸本)9798350311358

Since the traditional Markov Chain Monte Carlo (MCMC) method has the problem that the wind power is stuck in a certain state and it is difficult to jump, this paper proposes an improved MCMC method considering the climbing direction, first dividing the state by the size of the output and the climbing direction, and then determining the duration of each state by changing the state, and then sampling and generating the corresponding number of output samples according to the duration of each state, and sorting these samples according to the climbing direction, and the sorted output is the output timing of the state. This method was used to generate wind power sequences from a wind farm in the Northeast China Sea, and the characteristics of a wind power sequence were compared and analyzed with the original wind power sequence, and the results were better than the wind power sequences generated by the traditional MCMC method. © 2023 IEEE.

关键词： Wind power

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Age-of-information-aware PI controller for load frequency control

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Protection and control of Modern power systems 2023年第3期8卷 32-46页

作者： Dan Jiao Changzheng Shao Bo Hu Kaigui Xie Chengrong Lin Zhuoxuan Ju State Key Laboratory of Power Transmission Equipment and System Security Chongqing UniversityChongqing 400044China Department of Electrical and Computer Engineering George Washington UniversityDC 20052 WashingtonUSA

Open communication system in modern power systems brings concern about information staleness which may cause power system frequency *** information staleness is often characterized by communication ***,communication delay is a packet-centered metric and cannot reflect the requirement of information freshness for load frequency control(LFC).This paper introduces the age of information(AoI),which is more compre-hensive and informative than the conventional communication delay modeling *** LFC controller and com-munication are integrated into the design for LFC performance *** AoI-aware LFC model is formulated first,and considering each allowable update period of the smart sensor,different AoI-aware PI controllers are then designed according to the exponential decay *** right AoI-aware controller and update period are selected according to the degree of frequency fluctuation of the power *** studies are carried out on one-area and two-area power *** results show the superior performance of the AoI-aware controllers in comparison to the delay-dependent controllers.

关键词： power system Load frequency control(LFC) Age of information(AoI) PI controller

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Dynamic state Estimation for DFIG with Unknown Inputs Based on Cubature Kalman Filter and Adaptive Interpolation

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Journal of Modern power systems and Clean Energy 2023年第4期11卷 1086-1099页

作者： Maolin Zhu Hao Liu Junbo Zhao Bendong Tan Tianshu Bi Samson Shenglong Yu State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijingChina Department of Electrical and Computer Engineering University of ConnecticutStorrs06269USA School of Engineering Deakin University75 Pigdons RoadWaurn PondsVIC3216Australia

Dynamic state estimation(DSE)accurately tracks the dynamics of power systems and demonstrates the evolution of the system state in real *** paper proposes a DSE approach for a doubly-fed induction generator(DFIG)with unknown inputs based on adaptive interpolation and cubature Kalman filter(AICKF-UI).DFIGs adopt different control strategies in normal and fault conditions;thus,the existing DSE approaches based on the conventional control model of DFIG are not applicable in all ***,the DSE model of DFIGs is reformulated to consider the converter controller outputs as unknown inputs,which are estimated together with the DFIG dynamic states by an exponential smoothing model and augmented-state cubature Kalman ***,as the reporting rate of existing synchro-phasor data is not sufficiently high to capture the fast dynamics of DFIGs,a large estimation error may occur or the DSE approach may *** this end,in this paper,a local-truncation-error-guided adaptive interpolation approach is *** simulations conducted on a wind farm and the modified IEEE 39-bus test system show that the proposed AICKF-UI can(1)effectively address the divergence issues of existing cubature Kalman filters while being computationally more efficient;(2)accurately track the dynamic states and unknown inputs of the DFIG;and(3)deal with various types of system operating conditions such as time-varying wind and different system faults.

关键词： Adaptive interpolation cubature Kalman filter doubly-fed induction generator(DFIG) dynamic state estimation unknown input

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Efficient economic operation based on load dispatch of power systems using a leader white shark optimization algorithm

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Neural Computing and Applications 2024年第18期36卷 10613-10635页

作者： Hassan, Mohamed H. Kamel, Salah Selim, Ali Shaheen, Abdullah Yu, Juan El-Sehiemy, Ragab Ministry of Electricity and Renewable Energy Cairo Egypt Department of Electrical Engineering Faculty of Engineering Aswan University Aswan81542 Egypt Department of Electrical Power Engineering Faculty of Engineering Suez University Suez43533 Egypt State Key Laboratory of Power Transmission Equipment and System Security and New Technology College of Electrical Engineering Chongqing University Chongqing China Department of Electrical Engineering Faculty of Engineering Kafrelsheikh University Kafrelsheikh33516 Egypt

This article proposes the use of a leader white shark optimizer (LWSO) with the aim of improving the exploitation of the conventional white shark optimizer (WSO) and solving the economic operation-based load dispatch (ELD) problem. The ELD problem is a crucial aspect of power system operation, involving the allocation of power generation resources to meet the demand while minimizing operational costs. The proposed approach aims to enhance the performance and efficiency of the WSO by introducing a leadership mechanism within the optimization process, which aids in more effectively navigating the complex ELD solution space. The LWSO achieves increased exploitation by utilizing a leader-based mutation selection throughout each generation of white sharks. The efficacy of the proposed algorithm is tested on 13 engineer benchmarks non-convex optimization problems from CEC 2020 and compared with recent metaheuristic algorithms such as dung beetle optimizer (DBO), conventional WSO, fox optimizer (FOX), and moth-flame optimization (MFO) algorithms. The LWSO is also used to address the ELD problem in different case studies (6 units, 10 units, 11 units, and 40 units), with 20 separate runs using the proposed LWSO and other competitive algorithms being statistically assessed to demonstrate its effectiveness. The results show that the LWSO outperforms other metaheuristic algorithms, achieving the best solution for the benchmarks and the minimum fuel cost for the ELD problem. Additionally, statistical tests are conducted to validate the competitiveness of the LWSO algorithm. © The Author(s) 2024.

关键词： Electric load dispatching

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