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A Data-driven Variable Reduction Approach for Transmission-constrained Unit Commitment of Large-scale systems

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Journal of Modern Power systems and Clean energy 2023年第1期11卷 254-266页

作者： Yuzhou Zhou Qiaozhu Zhai Lei Wu Moammad Shahidehpour systems Engineering institute MOEKLINNS LabXi’an Jiaotong UniversityXi’an 710049China electrical and Computer Engineering Department Stevens Institute of TechnologyHobokenU.S. electrical and Computer Engineering Department Illinois Institute of TechnologyChicagoU.S. IEEE

This paper presents a data-driven variable reduction approach to accelerate the computation of large-scale transmission-constrained unit commitment(TCUC).Lagrangian relaxation(LR)and mixed-integer linear programming(MILP)are popular approaches to solving ***,with many binary unit commitment variables,LR suffers from slow convergence and MILP presents heavy computation *** proposed data-driven variable reduction approach consists of offline and online calculations to accelerate computational performance of the MILP-based large-scale TCUC problems.A database including multiple nodal net load intervals and the corresponding TCUC solutions is first built offline via the data-driven and all-scenario-feasible(ASF)approaches,which is then leveraged to efficiently solve new TCUC instances ***/off statuses of considerable units can be fixed in the online calculation according to the database,which would reduce the computation burden while guaranteeing good solution quality for new TCUC instances.A feasibility proposition is proposed to promptly check the feasibility of the new TCUC instances with fixed binary variables,which can be used to dynamically tune parameters of binary variable fixing strategies and guarantee the existence of feasible UC solutions even when system structure *** tests illustrate the efficiency of the proposed approach.

关键词： Unit commitment accelerated algorithm data driven variable reduction

Fine-Grained Resource Provisioning and Task Scheduling for Heterogeneous Applications in Distributed Green Clouds

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IEEE/CAA Journal of Automatica Sinica 2020年第5期7卷 1380-1393页

作者： Haitao Yuan Meng Chu Zhou Qing Liu Abdullah Abusorrah Department of electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07102 USA Department of electrical and Computer Engineering Faculty of Engineeringand the Center of Research Excellence in Renewable Energy and Power SystemsKing Abdulaziz UniversityJeddah 21589Saudi Arabia IEEE

An increasing number of enterprises have adopted cloud computing to manage their important business applications in distributed green cloud(DGC)systems for low response time and high cost-effectiveness in recent *** scheduling and resource allocation in DGCs have gained more attention in both academia and industry as they are costly to manage because of high energy *** factors in DGCs,e.g.,prices of power grid,and the amount of green energy express strong spatial *** dramatic increase of arriving tasks brings a big challenge to minimize the energy cost of a DGC provider in a market where above factors all possess spatial *** work adopts a G/G/1 queuing system to analyze the performance of servers in *** on it,a single-objective constrained optimization problem is formulated and solved by a proposed simulated-annealing-based bees algorithm(SBA)to find SBA can minimize the energy cost of a DGC provider by optimally allocating tasks of heterogeneous applications among multiple DGCs,and specifying the running speed of each server and the number of powered-on servers in each GC while strictly meeting response time limits of tasks of all *** databased experimental results prove that SBA achieves lower energy cost than several benchmark scheduling methods do.

关键词： Bees algorithm data centers distributed green cloud(DGC) energy optimization intelligent optimization simulated annealing task scheduling machine learning

Internal short circuit evaluation and corresponding failure mode analysis for lithium-ion batteries

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Journal of energy Chemistry 2021年第10期30卷 269-280,I0008页

作者： Lishuo Liu Xuning Feng Christiane Rahe Weihan Li Languang Lu Xiangming He Dirk Uwe Sauer Minggao Ouyang State Key Laboratory of Automotive Safety and energy Tsinghua UniversityBeijing 100084China Chair for Electrochemical energy Conversion and Storage systems Institute for Power Electronics and Electrical Drives(ISEA)RWTH Aachen UniversityJaegerstrasse 17/19Aachen 52066Germany institute of Nuclear and New energy technology Tsinghua UniversityBeijing 100084China

Internal short circuit(ISC)is the major failure problem for the safe application of lithium-ion batteries,especially for the batteries with high energy ***,how to quantify the hazard aroused by the ISC,and what kinds of ISC will lead to thermal runaway are still *** paper investigates the thermal-electrical coupled behaviors of ISC,using batteries with Li(Ni_(1/3)CO_(1/3)Mn_(1/3))O_(2) cathode and composite *** electrochemical impedance spectroscopy of customized battery that has no LiPF6 salt is utilized to standardize the resistance of ***,this paper compares the thermal-electrical coupled behaviors of the above four types of ISC at different *** is an area expansion phenomenon for the aluminum-anode type of *** expansion effect of the failure area directly links to the melting and collapse of separator,and plays an important role in further evolution of thermal *** work provides guidance to the development of the ISC models,detection algorithms,and correlated countermeasures.

关键词： energy storage Lithium-ion battery Battery safety Internal short circuit Thermal runaway

LSTM-based energy Management for Electric Vehicle Charging in Commercial-building Prosumers

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Journal of Modern Power systems and Clean energy 2021年第5期9卷 1205-1216页

作者： Huayanran Zhou Yihong Zhou Junjie Hu Guangya Yang Dongliang Xie Yusheng Xue Lars Nordström State Key Laboratory of Alternate electrical Power System with Renewable energy Sources North China Electric Power UniversityBeijing 102206China Center for Electric Power and energy Technical University of DenmarkLyngbyDenmark State Grid Electric Power Research institute NanjingChina Division of Electric Power and energy systems School of Electrical Engineering and Computer ScienceKTH Royal Institute of TechnologyStockholmSweden

As typical prosumers,commercial buildings equipped with electric vehicle(EV)charging piles and solar photovoltaic panels require an effective energy management ***,the conventional optimization-model-based building energy management system faces significant challenges regarding prediction and calculation in online *** address this issue,a long short-term memory(LSTM)recurrent neural network(RNN)based machine learning algorithm is proposed in this paper to schedule the charging and discharging of numerous EVs in commercial-building *** the proposed system control structure,the LSTM algorithm can be separated into offline and online *** the offline stage,the LSTM is used to map states(inputs)to decisions(outputs)based on the network *** the online stage,once the current state is input,the LSTM can quickly generate a solution without any additional prediction.A preliminary data processing rule and an additional output filtering procedure are designed to improve the decision performance of LSTM *** simulation results demonstrate that the LSTM algorithm can generate near-optimal solutions in milliseconds and significantly reduce the prediction and calculation pressures compared with the conventional optimization algorithm.

关键词： Building energy management system(BEMS) electric vehicle(EV) long short-term memory(LSTM) recurrent neural network machine learning prosumer

Gas–solid interface charge characterisation techniques for HVDC GIS/GIL insulators

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high voltage 2020年第2期5卷 95-109页

作者： Lei Zhang Chuanjie Lin Chuanyang Li Simone Vincenzo Suraci Geng Chen Uwe Riechert Tohid Shahsavarian Masayuki Hikita Youping Tu Zhousheng Zhang Davide Fabiani Jinliang He School of electrical Engineering Shanghai University of Electric PowerChangyang Road#2588Shanghai200090People's Republic of China State Key Laboratory of Power systems Department of Electrical EngineeringTsinghua UniversityBeijing100084People's Republic of China Department of electrical Electronicand Information Engineering‘Guglielmo Marconi’University of BolognaViale Risorgimento 2Bologna40136Italy Beijing Area Major Laboratory of high voltage and Electromagnetic Compatibility North China Electric Power UniversityBeijing 102206People's Republic of China ABB Switzerland Ltd High Voltage ProductsZurichSwitzerland electrical Insulation Research Center Institute of Materials ScienceElectrical and Computer EngineeringUniversity of ConnecticutStorrsCT 06269USA Kyushu institute of technology KitakyushuJapan

Surface charge accumulation on the spacers is one of the key issues restraining the development of HVDC GIS/*** precise measurement of surface charge properties provides the basis for further study of the surface charge transport mechanism as well as the charge-induced flashover mechanism under DC *** this study,the authors discuss their perspective on the current status,development needs and potential developing orientation of surface charge characterisation *** surface potential measurement methods and charge inversion algorithms are reviewed regarding the previous studies and future research *** and outlooks of surface charge measurement techniques are also discussed with the background of laboratory experiment results and on-site *** is hopefully that this study can serve as a useful guide reference for researchers within the same research *** importantly,it is authors’hope that this study can inspire some novel ideas for readers into developing of more accurate and scientific interface charge characterisation techniques.

关键词： GIL charge interface

Scenario Generations for Renewable energy Sources and Loads Based on Implicit Maximum Likelihood Estimations

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Journal of Modern Power systems and Clean energy 2022年第6期10卷 1563-1575页

作者： Wenlong Liao Birgitte Bak-Jensen Jayakrishnan Radhakrishna Pillai Zhe Yang Yusen Wang Kuangpu Liu AAU energy Aalborg UniversityAalborgDenmark School of electrical Engineering and Computer Science KTH Royal Institute of TechnologyStockholmSweden

Scenario generations for renewable energy sources and loads play an important role in the stable operation and risk assessment of integrated energy *** paper proposes a deep generative network based method to model time-series curves,e.g.,power generation curves and load curves,of renewable energy sources and loads based on implicit maximum likelihood estimations(IMLEs),which can generate realistic scenarios with similar patterns as real *** training the model,any number of new scenarios can be obtained by simply inputting Gaussian noises into the data generator of *** proposed approach does not require any model assumptions or prior knowledge of the form in the likelihood function being made during the training process,which leads to stronger applicability than explicit density model based *** extensive experiments show that the IMLEs accurately capture the complex shapes,frequency-domain characteristics,probability distributions,and correlations of renewable energy sources and ***,the proposed approach can be easily generalized to scenario generation tasks of various renewable energy sources and loads by fine-tuning parameters and structures.

关键词： Renewable energy source scenario generation implicit maximum likelihood estimation(IMLE) deep learning generative network

Single-source Switched-capacitor Boost Nine-level Inverter with Reduced Components

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CSEE Journal of Power and energy systems 2023年第5期9卷 1688-1697页

作者： Kaibalya Prasad Panda R.T.Naayagi Pravat Kumar Ray Gayadhar Panda the Department of electrical Engineering Pandit Deendayal Energy UniversityGandhinagar 382007India the School of electrical and Electronic Engineering Newcastle University International Singapore567739Singapore the Department of electrical Engineering National Institute of Technology RourkelaRourkela 769008India the Department of electrical Engineering National Institute of Technology MeghalayaShillong 793003India

Increasing demands for improvement in power quality and power capacity have contributed to development of switched-capacitor multilevel inverters(SCMLIs).Recently developed SCMLIs enable single-stage voltage boosting,as well as inversion resulting in step-up ac *** reduction in number of components,this paper introduces a boost type singlesource nine-level(9-level)SCMLI employing two capacitors and three *** to the series-parallel connection process,capacitor voltages are inherently balanced and assist in quadruple voltage boosting from a *** voltage stress across semiconductor devices is limited to twice input voltage *** a minimum number of components,the proposed SCMLI can be extended to increase voltage levels without additional dc *** extension module adds two additional voltage steps in the output while maintaining maximum voltage stress the same as 9-level *** by in-depth analysis of circuit operation and power losses,a thorough comparison of recently developed single-phase 9-level MLIs is carried out,which verifies design *** simulation and experimental results are presented to verify the prominent features of the 9-level SCMLI under dynamic operating conditions.

关键词： Multilevel inverter reduced components,self-voltage balance single-source switched-capacitor voltage gain

A Novel Triple-tied-cross-linked PV Array Configuration with Reduced Number of Cross-ties to Extract Maximum Power Under Partial Shading Conditions

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CSEE Journal of Power and energy systems 2021年第3期7卷 567-581页

作者： Tejavathu Ramesh Kandipati Rajani Anup Kumar Panda Department of electrical Engineering National Institute of Technology RourkelaIndia Department of electrical and Electronics Engineering National Institute of Technology Andhra PradeshIndia

Partial shadings cause output power reduction from Photovoltaic(PV)arrays due to mismatch *** selection of PV array configurations play a vital role in maximum power *** paper proposes a novel Triple-Tied-Cross-Linked(T-T-C-L)configuration to extract maximum power with a lesser number of cross ties than a Total-Cross-Tied(T-C-T)*** performance of the proposed T-T-C-L configuration has been compared with various conventional PV array configurations,such as Series(S),Parallel(P),Series-Parallel(S-P),Bridge-Link(B-L),Honey-Comb(H-C),and T-C-T under Partial Shading Conditions(PSCs)by considering the 9×9 PV *** PSCs considered are uneven row,column,diagonal,random,short&narrow,short&wide,long&narrow,long&wide shadings and uniform half module *** measures,such as open circuit voltage,short circuit current,maximum power,voltages and currents at maximum power,mismatch losses,fill factor and efficiency have been used for performance analysis of various *** the results,it can be concluded that the performance of the proposed T-T-C-L configuration is optimal compared to other configurations.

关键词： Efficiency fill factor maximum power point mismatch losses partial shading conditions PV array configurations triple-tied-cross-linked

Impact of SF_(6) Decomposition Products on Epoxy Resin Chemical Stability and Doping-nano-Al_(2)O_(3)-based Enhancement Using the ReaxFF-MD Method

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CSEE Journal of Power and energy systems 2023年第2期9卷 779-789页

作者： Jingrui Wang Qingmin Li Heng Liu Jian Wang Yanan Chang Qi Hu Manu A.Haddad State Key Laboratory of Alternate electrical Power System with Renewable energy Sources North China Electric Power UniversityBeijing 102206China Advanced high voltage Engineering Research Centre School of EngineeringCardiff UniversityThe ParadeCardiff CF243AAUK

Chemically active by-products formed by corona discharge in SF_(6) gas are prone to damaging the exposed epoxy resin,or even leading to an entire insulation failure of the operational GIS/GIL power *** this proposed research,reactive force field molecular dynamic simulation methodology is applied to investigate the chemical reaction kinetics of epoxy polymer under the impact of highly energetic particles(F,S,SOF,SF,OH and O)so as to explain the degradation *** all cases,SF particle-impacted epoxy resin suffers the most serious surface erosion with the lowest remnant mass of 9%and deepest damage penetration of 32.6Å,to which the S particle-caused damage showed similar *** to high reactivity of the S atom,it can merge into the epoxy molecules to promote long chain breaking,causing a six-membered ring opening and further dissociation of short carbon chains,which makes the epoxy resin molecules undergo faster spontaneous dissociation with increased *** changes of small molecular gas products,such as CO_(2),H_(2)O and CH_(2)O,as well as that of the characteristic products,such as HF,CS_(2),SO and H_(2)S,are also evaluated under the impact of different *** presented research indicates that enhancing the resistance strength of epoxy polymer against S and SF particles'corrosion is the key approach to improving chemical stability in the SF_(6) *** studies were implemented to optimize the concentration and diameter of nano-Al_(2)O_(3) doped in the *** to this paper,aluminum nanoparticle with a diameter of 1nm could significantly reduce the erosion caused by SF and S *** micro-scale mechanism lies primarily within two aspects:the nanoparticles improve the surface heat transfer efficiency as to reduce temperature rise,and also provide an effective protection area by balancing distribution and self-exposing,which finally slows down the pyrolysis process of epoxy resin,as well as the re

关键词： Al_(2)O_(3)nanoparticle corona discharge in SF_(6) epoxy resin molecular dynamics particle impact reactive force field