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7th International Conference on Electric power Equipment - Switching Technology, ICEPE-ST 2024

作者： Tang, Qiaojia Chen, Li'an Li, Wenxuan School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China School of Electrical Engineering and Automation Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen University of Technology Xiamen China

ISBN: (纸本)9798350388947

Aiming at the current situation that the traditional overcurrent protection device is difficult to detect the low-voltage series arc fault, a detection model for low-voltage series fault arc based on Variational Mode Decomposition (VMD) was proposed, utilizing a VMD method optimized by the Whale Optimization Algorithm (WOA). Firstly, WOA was used to optimize the VMD parameters of different loads to decompose the signal. Then, a multi-feature data set was constructed by combining Pearson correlation coefficient and random forest importance assessment. Finally, combined with support vector machine, a low-voltage series arc fault detection model was built. The results show that the accuracy of the proposed arc fault detection method is more than 99 %, and it is suitable for a variety of typical loads. © 2024 IEEE.

关键词： Overcurrent protection

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L_(p) Quasi Norm State Estimator for power systems

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Journal of Modern power systems and Clean Energy 2022年第4期10卷 871-882页

作者： Zhongliang Lyu Hua Wei Xiaoqing Bai Daiyu Xie Le Zhang Peijie Li School of Electrical Engineering Guangxi UniversityNanningChinaand they are also with the Guangxi Key Laboratory of Power System Optimization and Energy TechnologyGuangxi UniversityNanningChin Power Dispatching Control Center of Guangxi Power Grid NanningChina

This paper proposes an L_(p)(0<p<1)quasi norm state estimator for power system static state *** with the existing L1 and L2 norm estimators,the proposed estimator can suppress the bad data more *** robustness of... 详细信息

This paper proposes an L_(p)(0power system static state *** with the existing L1 and L2 norm estimators,the proposed estimator can suppress the bad data more *** robustness of the proposed estimator is discussed,and an analysis shows that its ability to suppress bad data increases as p ***,an algorithm is suggested to solve the nonconvex state estimation *** introducing a relaxation factor in the mathematical model of the proposed estimator,the algorithm can prevent the solution from converging to a local optimum as much as ***,simulations on a 3-bus DC system,the IEEE 14-bus and IEEE 300-bus systems as well as a 1204-bus provincial system verify the high computation efficiency and robustness of the proposed estimator.

关键词： power system bad data quasi norm estimator robustness state estimation

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Flow and thermal modeling of liquid metal in expanded microchannel heat sink

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Frontiers in Energy 2023年第6期17卷 796-810页

作者： Mingkuan ZHANG Xudong ZHANG Luna GUO Xuan LI Wei RAO Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical EngineeringTianjin University of TechnologyTianjin 300384China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of TechnologyTianjin 300384China Key Laboratory for Thermal Science and Power Engineering of the Ministry of Education Department of Engineering MechanicsTsinghua UniversityBeijing 100084China School of Mechanical Engineering Tianjin University of CommerceTianjin 300134China Institute of Refrigeration and Cryogenics Shanghai Jiao Tong UniversityShanghai 200240China Beijing Key Laboratory of CryoBiomedical Engineering and Key Laboratory of Cryogenics Beijing 100190China

Liquid metal-based microchannel heat sinks (MCHSs) suffer from the low heat capacity of coolant, resulting in an excessive temperature rise of coolant and heat sink when dealing with high-power heat dissipation. In this paper, it was found that expanded space at the top of fins could distribute the heat inside microchannels, reducing the temperature rise of coolant and heat sink. The orthogonal experiments revealed that expanding the top space of channels yielded similar temperature reductions to changing the channel width. The flow and thermal modeling of expanded microchannel heat sink (E-MCHS) were analyzed by both using the 3-dimensional (3D) numerical simulation and the 1-dimensional (1D) thermal resistance model. The fin efficiency of E-MCHS was derived to improve the accuracy of the 1D thermal resistance model. The heat conduction of liquid metal in Z direction and the heat convection between the top surface of fins and the liquid metal could reduce the total thermal resistance (Rt). The above process was effective for microchannels with low channel aspect ratio, low mean velocity (Um) or long heat sink length. The maximum thermal resistance reduction in the example of this paper reached 36.0%. The expanded space endowed the heat sink with lower pressure, which might further reduce the pumping power (P). This rule was feasible both when fins were truncated (h_(2) < 0, h_(2) is the height of expanded channel for E-MCHS) and when over plate was raised (h_(2) > 0).

关键词： liquid metal cooling heat sink expanded microchannel flow and thermal modeling

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Low-carbon economic dispatch of power system based on mobile hydrogen storage 2

Low-carbon economic dispatch of power system based on mobile...

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2022 2nd International Conference on Energy engineering, New Energy Materials and Devices, NEMD 2022

作者： Li, Panpan Wang, Rui Xia, Shiwei Zhang, Feng School of Electrical and Electronic Engineering North China Electric Power University Beijing102206 China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan250061 China

To alleviate the global warming crisis, carbon reduction is an inevitable trend of sustainable development. The energy carrier with Hydrogen (H2) is considered to be one of the promising choices for realizing a low-carbon economy. With the increasing penetration level of wind power generation and for well-balancing wind generaion fluctuations, this paper proposes a low-carbon economic dispatch method for power systems based on mobile hydrogen storage(MHS). The wind power surplus during off-peak load periods is first utilized to generate green H2. Afterward, the green H2 is optimally transported to multiple hydrogen storage(HS) stations for generating power electricity by flexibly controlling the electrolysis(EL), methanation(ME), carbon capture(CCS) and H2 power generation processes, in such a way the wind power is coordinated with the hydrogen production, transport and utilization to reduce the total carbon emission and minimize the operation cost of power systems. Finally the proposed power system low-carbon economic dispatch model is verified by case studies. © Published under licence by IOP Publishing Ltd.

关键词： Global warming

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Steady-state Voltage Security-constrained Optimal Frequency control for Weak HVDC Sending-end AC power systems

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Journal of Modern power systems and Clean Energy 2024年第2期12卷 658-669页

作者： Qiangqiang Wang Liangzhong Yao Jian Xu Yuping Zheng Wei Li Wei Wang School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network(Wuhan University) Wuhan 430072China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation(State Grid Electric Power Research Institute)Nanjing 211106China

Due to the fact that a high share of renewable energy sources(RESs)are connected to high-voltage direct current(HVDC)sending-end AC power systems,the voltage and frequency regulation capabilities of HVDC sending-end AC power systems have *** has resulted in potential system operating problems such as overvoltage and overfrequency,which occur simultaneously when block faults exist in the HVDC *** this study,a steady-state voltage security-constrained optimal frequency control method for weak HVDC sending-end AC power systems is *** integrated virtual inertia control of RESs is employed for system frequency *** dynamic reactive power compensation devices are utilized to control the voltage of all nodes meet voltage security ***,an optimization model that simultaneously considers the frequency and steady-state voltage security constraints for weak HVDC sending-end AC power systems is *** optimal control scheme with the minimum total cost of generation tripping and additional dynamic reactive power compensation required is obtained through the optimization *** are conducted on a modified IEEE 9-bus test system and practical Qing-Yu line commutated converter based HVDC(LCC-HVDC)sending-end AC power system to verify the effectiveness of the proposed method.

关键词： Renewable energy source(RES) high-voltage direct current(HVDC) AC power system optimal frequency control steady-state voltage security dynamic reactive power compensation

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Incorporating empirical knowledge into data-driven variable selection for quantitative analysis of coal ash content by laser-induced breakdown spectroscopy

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Plasma Science and Technology 2024年第7期26卷 148-156页

作者：吕一涵宋惟然侯宗余王哲 State Key Laboratory of Power System Operation and Control International Joint Laboratory on Low Carbon Clean Energy InnovationDepartment of Energy and Power EngineeringTsinghua UniversityBeijing 100084People’s Republic of China School of Energy and Electrical Engineering Qinghai UniversityXining 810016People’s Republic of China Tsinghua University Shanxi Research Institute Clean EnergyTaiyuan 030032People’s Republic of China

Laser-induced breakdown spectroscopy(LIBS)has become a widely used atomic spectroscopic technique for rapid coal ***,the vast amount of spectral information in LIBS contains signal uncertainty,which can affect its quantification *** this work,we propose a hybrid variable selection method to improve the performance of LIBS *** variables are first identified using Pearson's correlation coefficient,mutual information,least absolute shrinkage and selection operator(LASSO)and random forest,and then filtered and combined with empirical variables related to fingerprint elements of coal ash ***,these variables are fed into a partial least squares regression(PLSR).Additionally,in some models,certain variables unrelated to ash content are removed manually to study the impact of variable deselection on model *** proposed hybrid strategy was tested on three LIBS datasets for quantitative analysis of coal ash content and compared with the corresponding data-driven baseline *** is significantly better than the variable selection only method based on empirical knowledge and in most cases outperforms the baseline *** results showed that on all three datasets the hybrid strategy for variable selection combining empirical knowledge and data-driven algorithms achieved the lowest root mean square error of prediction(RMSEP)values of 1.605,3.478 and 1.647,respectively,which were significantly lower than those obtained from multiple linear regression using only 12 empirical variables,which are 1.959,3.718 and 2.181,*** LASSO-PLSR model with empirical support and 20 selected variables exhibited a significantly improved performance after variable deselection,with RMSEP values dropping from 1.635,3.962 and 1.647 to 1.483,3.086 and 1.567,*** results demonstrate that using empirical knowledge as a support for datadriven variable selection can be a viable approach to improve the acc

关键词： laser-induced breakdown spectroscopy(LIBS) coal ash content quantitative analysis variable selection empirical knowledge partial least squares regression(PLSR)

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Cloud-edge-based We-Market:Autonomous Bidding and Peer-to-peer Energy Sharing Among Prosumers

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Journal of Modern power systems and Clean Energy 2023年第4期11卷 1282-1293页

作者： Fangyuan Si Yinghua Han Qinqin Xu Jinkuan Wang Qiang Zhao College of Information Science and Engineering Northeastern UniversityShenyangChinaand F.Si is also with the State Key Laboratory of Power System and Generation EquipmentDepartment of Electrical EngineeringTsinghua UniversityBeijingChina School of Computer and Communication Engineering Northeastern University at QinhuangdaoQinhuangdaoChina School of Control Engineering Northeastern University at QinhuangdaoQinhuangdaoChina

With the extensive penetration of distributed renewable energy and self-interested prosumers,the emerging power market tends to enable user autonomy by bottom-up control and distributed *** paper is devoted to solving the specific problems of distributed energy management and autonomous bidding and peer-to-peer(P2P)energy sharing among prosumers.A novel cloud-edge-based We-Market is presented,where the prosumers,as edge nodes with independent control,balance the electricity cost and thermal comfort by formulating a dynamic household energy management system(HEMS).Meanwhile,the autonomous bidding is initiated by prosumers via the modified Stone-Geary utility *** the cloud center,a distributed convergence bidding(CB)algorithm based on consistency criterion is developed,which promotes faster and fairer bidding through the interactive iteration with the edge ***,the proposed scheme is built on top of the commercial cloud platform with sufficiently secure and scalable computing *** results show the effectiveness and practicability of the proposed We-Market,which achieves 15%cost reduction with shorter running *** analysis indicates better scalability,which is more suitable for largerscale We-Market implementation.

关键词： We-Market bidding energy sharing prosumer peer-to-peer cloud-edge

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Topology Identification for Distribution systems Based on Bayesian Nonparametric Model and Gaussian Mixture Ensemble Kalman Filter

Topology Identification for Distribution Systems Based on Ba...

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power and electrical engineering (ACPEE), 5th Asia Conference on

作者： Tingting Zhang Wen Zhang School of Control Science and Engineering Shandong University Jinan China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Shandong University Jinan China

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

To ensure the secure and reliable operation of active distribution systems (ADSs), it is essential to efficiently and accurately identify their time-varying topology. This paper proposes an estimation-based topology identification (TI) method for ADSs considering topology changes. The TI problem is formulated by a forecasting-aided estimation model, which is depicted by a discrete-time switching state-space model. The topology change process is described by a Bayesian nonparametric model that allows TI with limited knowledge of topology libraries. Then the Gaussian mixture ensemble Kalman filter (GM-EnKF) is employed to carry out the TI, where the underlying probability density is approximated by using Gaussian mixture model. In this case, the proposed method become capable of handling the unavoidable non-Gaussian noises in realistic distribution systems. Test results on various ADSs validates the effectiveness of the proposed GM-EnKF-based TI method on accurate and efficient topology identification.

关键词： Noise Estimation Termination of employment Switches Predictive models Topology Bayes methods

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Event-Triggered control for Multi-Agent systems:Event Mechanisms for Information Transmission and controller Update

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Journal of systems Science & Complexity 2022年第3期35卷 953-972页

作者： LIU Pin XIAO Feng WEI Bo State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China

This paper investigates the state consensus of linear multi-agent systems in a graph where each agent is equipped with two novel event-triggering *** agent utilizes them to avoid continuous information transmissions with its neighbors and to reduce the frequencies of controller updates,*** of the event-triggering mechanisms defines a threshold of state errors by a constant plus a state-dependent *** other event-triggering mechanism introduces a period of rest time after each *** each agent,both event-triggering mechanisms are fully distributed and are independent of any global *** authors utilize a co-design approach to deal with the interplay between control gains and parameters in event-triggering *** appropriate control gains in control laws and parameters in event-triggering conditions,subsystems employing discrete-time signals from neighbors and discrete-time signals from their controllers achieve the state *** are performed to illustrate the effectiveness of the proposed event-triggering mechanisms.

关键词： Consensus control event-triggering mechanism multi-agent systems output feedback

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A Novel power Distribution Strategy for Battery Storage Units in a Large-scale Station to Improve system Operating Performance 20

A Novel Power Distribution Strategy for Battery Storage Unit...

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20th International Conference on AC and DC power Transmission 2024, ACDC 2024

作者： Han, Chenhui Wang, Jinyu Luo, Longzhou Ci, Song Zhou, Yanglin School of Electrical Engineering Xi'an Jiaotong University Xi'an China Department of Electrical Engineering Tsinghua University Beijing China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China

ISBN: (纸本)9781837242672

Large-scale battery energy storage systems have the advantages of rapid response speed and high regulation precision. Their widespread application contributes to the stable operation of power grids. Nowadays, the design of an optimal power distribution strategy for the storage units that maximizes the benefits of energy storage stations is a hot spot of research. This paper presents a comprehensive power distribution model, which is suitable for energy storage stations. The model incorporates multiple objective factors such as the output power, the depth of discharge (DOD), and the uniformity of the State of Charge (SOC). One of the advantages of the designed model is its capability to optimize the longevity of the energy storage systems by managing the SOC convergence effectively and minimizing life loss through judicious power allocation. This approach improves the reliability and efficiency of energy storage system operations. Additionally, the model integrates temperature regulation costs, further enhancing its applicability and relevance to practical scenarios. © The Institution of engineering & Technology 2024.

关键词： Battery storage

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