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key Issues for Modelling, operation, Management and Diagnosis of Lithium Batteries: Current states and Prospects

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energy Engineering 2024年第8期121卷 2085-2091页

作者： Bo Yang Yucun Qian Jianzhong Xu Yaxing Ren Yixuan Chen Faculty of Electric Power Engineering Kunming University of Science and TechnologyKunming650500China state key laboratory of Alternate Electrical Power System with renewable energy Sources North China Electric Power UniversityBeijing102206China School of Engineering University of LincolnLincolnLN67TSUK Department of Electrical and Electronic Engineering The University of Hong KongHong Kong999077China

1 *** the continuous growth of the global population,the energy demand continues to ***,due to the dominance of fossil fuels in global energy and fossil fuels are non-renewable,it has led to the global energy crisis[1].Besides,the use of fossil fuels will generate a mass of air pollutants(e.g.,carbon dioxide,sulfur dioxide,etc.),which will cause serious environmental pollution,climate change[2],*** resolve the aforementioned issues,countries around the world have implemented a variety of measures hoping to fundamentally adjust the global energy structure and achieve sustainable ***,“Paris Agreement”reached in 2015 under the framework of“United Nations Framework Convention on Climate Change”aims to control the increase in the average temperature of the globe to within 2°C below preindustrial levels,and thereafter to peak global greenhouse gas emissions as soon as possible,continuously decreasing thereafter[3].United Kingdom plans to reduce the average exhaust emissions of“new cars”to approximately 50–70 g/km by 20230,which is roughly half of what it is now[4].In addition,China proposed a plan at“United Nations General Assembly”in 2020 to peak carbon dioxide emissions by 2030 and strive to achieve carbon neutrality by *** is a fact that the whole world is committed to changing the current energy structure,protecting the Earth’s ecology,and achieving global sustainable development[5].

关键词： Lithium batteries optimization operation modelling state estimation life prediction fault diagnosis

Adaptive Fault Detection Scheme Using an Optimized Self-healing Ensemble Machine Learning Algorithm

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CSEE Journal of Power and energy systems 2022年第4期8卷 1145-1156页

作者： Levent Yavuz Ahmet Soran AhmetÖnen Xiangjun Li S.M.Muyeen Electrical and Computer Engineering Department in Abdullah Gül University Kayseri 38080Turkey Department of Electrical and Computer Engineering College of EngineeringSultan Qaboos UniversityAl-KhoudMuscat123Oman Department of Electrical Engineering Qatar UniversityDoha 2713Qatar state key laboratory of control and operation of renewable energy and storage systems China Electric Power Rescarch InstituteBeijing 100192China

This paper proposes a new cost-efficient,adaptive,and self-healing algorithm in real time that detects faults in a short period with high accuracy,even in the situations when it is difficult to *** than using traditional machine learning(ML)algorithms or hybrid signal processing techniques,a new framework based on an optimization enabled weighted ensemble method is developed that combines essential ML *** the proposed method,the system will select and compound appropriate ML algorithms based on Particle Swarm Optimization(PSO)*** this purpose,power system failures are simulated by using the PSCA D-Python *** of the salient features of this study is that the proposed solution works on real-time raw data without using any pre-computational techniques or pre-stored ***,the proposed technique will be able to work on different systems,topologies,or data *** proposed fault detection technique is validated by using PSCAD-Python co-simulation on a modified and standard IEEE-14 and standard IEEE-39 bus considering network faults which are difficult to detect.

关键词： Decision tree(DT) ensemble machine learning algorithm fault detection islanding operation k-Nearest Neighbor(kNN) linear discriminant analysis(LDA) logistic regression(LR) Naive Bayes(NB) self-healing algorithm

Regional wind power forecasting model with NWP grid dataoptimized

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Frontiers in energy 2017年第2期11卷 175-183页

作者： Zhao WANG Weisheng WANG Bo WANG state key laboratory of operation and control of renewable energy &storage systems China Electric Power Research Institute Beijing100192 China Department of Electrical Engineering TsinghuaUniversity Beijing 100084 China state key laboratory of operation and control of renewable energy &storage systems China Electric Power Research Institute Beijing100192 China

Unlike the traditional fossil energy, wind, as the clean renewable energy, can reduce the emission of the greenhouse gas. To take full advantage of the environmental benefits of wind energy, wind power forecasting has to be studied to overcome the troubles brought by the variable nature of wind. Power forecasting for regional wind farm groups is the problem that many power system operators care about. The high-dimensional feature sets with redundant information are frequently encountered when dealing with this problem. In this paper, two kinds of feature set construction methods are proposed which can achieve the proper feature set either by selecting the subsets or by transforming the original variables with specific combinations. The former method selects the subset according to the criterion of minimal-redundancy-maximal-relevance (mRMR), while the latter does so based on the method of principal component analysis (PCA). A locally weighted learning method is also proposed to utilize the processed feature set to produce the power forecast results. The proposed model is simple and easy to use with parameters optimized automatically. Finally, a case study of 28 wind farms in East China is provided to verify the effectiveness of the proposed method.

关键词： regional wind power forecasting feature set minimal-redundancy-maximal-relevance (mRMR) principal component analysis (PCA) locally weighted learning model

Integrated Frequency-constrained Scheduling Considering Coordination of Frequency Regulation Capabilities from Multi-source Converters

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Journal of Modern Power systems and Clean energy 2024年第1期12卷 261-274页

作者： Jiaming Li Ying Qiao Zongxiang Lu Wei Ma Xin Cao Rongfu Sun the Department of Electrical Engineering Tsinghua UniversityBeijing 100084China the China Suntien Green energy Limited Company Shijiazhuang 050011China the state Grid Jibei Electric Power Company Beijing 100054China

As the proportion of renewable energy(RE)increases,the inertia and the primary frequency regulation(FR)capability of the power system ***,ensuring frequency security in the scheduling model has become a new technical requirement in power systems with a high share of *** to a shortage of conventional synchronous generators,the frequency support of multi-source converters has become an indispensable part of the system frequency resources,especially variable-speed wind turbine generation(WTG)and battery energy storage(BES).Quantitative expression of the FR capability of multi-source converters is necessary to construct frequency-constrained scheduling ***,the frequency support performance of these converter-interfaced devices is related to their working states,operation modes,and parameters,and the complex coupling of these factors has not been fully exploited in existing *** this study,we propose an integrated frequency-constrained scheduling model considering the coordination of FR capabilities from multi-source *** FR control strategies and variable FR parameters for WTG with or without reserved power are modeled,and multi-target allocation of BES capacity between tracking dispatch instruction and emergency FR is ***,the variable FR capabilities of WTG and BES are embedded into the integrated frequency-constrained scheduling *** nonlinear constraints for frequency security are precisely linearized through an improved iteration-based *** effectiveness of the proposed model is verified in a modified IEEE 24-bus standard *** results suggest that the coordinated participation of BES and WTG in FR can effectively reduce the cost of the scheduling model while meeting frequency security constraints.

关键词： Battery energy storage(BES) wind turbine generation(WTG) frequency regulation(FR) frequency security power system scheduling

Numerical and Experimental Study on Performance of a Low-Backpressure Polyhedral Thermoelectric Generator for Waste Heat Recovery

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Journal of Thermal Science 2023年第1期32卷 109-124页

作者： QUAN Rui LI Yangxin LI Tao CHANG Yufang YAN Huaicheng Hubei key laboratory for High-efficiency Utilization of Solar energy and operation control of energy storage System Hubei University of TechnologyWuhan 430068China Hubei Engineering Research Center for Safety Monitoring of New energy and Power Grid Equipment Hubei University of TechnologyWuhan 430068China

Optimized fin arrangement and dimension of heat exchanger can improve the maximum output power of thermoelectric generator(TEG)system which converts the wasted heat into electricity with thermoelectric modules(TEMs).Considering that the geometric symmetry contributes to the temperature uniformity improvement and convenient TEMs arrangement,a low-backpressure TEG system based on a polyhedral-shape heat exchanger was *** assess the effect of inner topology and fin parameters on the heat transfer and output power of the TEG system,a realizable k-?turbulence based numerical model was established and validated to perform numerical *** results demonstrate that increasing fin length,fin width and fin intersection angle are beneficial to the average surface temperature,temperature distribution uniformity and maximum output power of the TEG ***,decreasing fin spacing distance contributes to the enhanced average surface temperature and maximum power of TEG system,and has insignificant effect on its temperature *** inserted fins with optimal length,width,intersection angle and spacing distance enhance higher output power,whereas result in increasing *** maximum difference between the experimental and simulation results is 3.2%,which validates the feasibility of the established numerical *** also provides a theoretical reference to the optimal design and performance analysis of low-backpressure TEG systems used in automobile exhaust heat recovery.

关键词： heat exchanger thermoelectric generator inner topology fin parameters numerical model

Constructing long-cycling crystalline C_(3)N_(4)-based carbonaceous anodes for sodium-ion battery via N configuration control

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Carbon energy 2024年第1期6卷 159-171页

作者： Ying Wang Hongguan Li Shuanlong Di Boyin Zhai Ping Niu Antonios Kelarakis Shulan Wang Li Li School of Metallurgy Northeastern UniversityShenyangLiaoningChina state key laboratory of Rolling and Automation Northeastern UniversityShenyangLiaoningChina Department of Chemistry College of ScienceNortheastern UniversityShenyangLiaoningChina School of Natural Sciences UCLan Research Centre for Smart MaterialsUniversity of Central LancashirePrestonUK Foshan Graduate School of Innovation Northeastern UniversityFoshanGuangdongChina

Carbon nitrides with two-dimensional layered structures and high theoretical capacities are attractive as anode materials for sodium-ion batteries while their low crystallinity and insufficient structural stability strongly restrict their practical *** carbon nitrides with conductive carbon may relieve these ***,little is known about the influence of nitrogen(N)configurations on the interactions between carbon and C_(3)N_(4),which is fundamentally critical for guiding the precise design of advanced C_(3)N_(4)-related ***,highly crystalline C_(3)N_(4)(poly(triazine imide),PTI)based all-carbon composites were developed by molten salt *** importantly,the vital role of pyrrolic-N for enhancing charge transfer and boosting Na+storage of C_(3)N_(4)-based composites,which was confirmed by both theoretical and experimental evidence,was spot-highlighted for the first *** elaborately controlling the salt composition,the composite with high pyrrolic-N and minimized graphitic-N content was *** from the formation of highly crystalline PTI and electrochemically favorable pyrrolic-N configurations,the composite delivered an unusual reverse growth and record-level cycling stability even after 5000 cycles along with high reversible capacity and outstanding full-cell capacity *** work broadens the energy storage applications of C_(3)N_(4) and provides new prospects for the design of advanced all-carbon electrodes.

关键词： anode highly crystalline C_(3)N_(4) N configuration sodium-ion batteries ultra-long cyclic stability

Forecasted Scenarios of Regional Wind Farms Based on Regular Vine Copulas

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Journal of Modern Power systems and Clean energy 2020年第1期8卷 77-85页

作者： Zhao Wang Weisheng Wang Chun Liu Bo Wang state key laboratory of operation and control of renewable energy&storage systems China Electric Power Research InstituteBeijingChina Department of Electrical Engineering Tsinghua UniversityBeijingChina

Owing to the uncertainty and volatility of wind energy,forecasted wind power scenarios with proper spatio-temporal correlations are needed in various decision-making problems involving power *** this study,forecasted scenarios are generated from an estimated multi-variate distribution of multiple regional wind *** to the theory of copulas,marginal distributions and the dependence structure of multi-variate distribution are modeled through the proposed distance-weighted kernel density estimation method and the regular vine(R-vine)copula,*** to the flexibility of decomposing correlations of high dimensions into different types of pair-copulas,the R-vine copula provides more accurate results in describing the complicated dependence of wind *** the case of 26 wind farms located in East China,highquality forecasted scenarios as well as the corresponding probabilistic forecasting and point forecasting results are obtained using the proposed method,and the results are evaluated using a comprehensive verification framework.

关键词： Forecasted scenarios wind power distanceweighted kernel density estimation(KDE) regular vine(R-vine)copula spatio-temporal correlation

Inter-hour direct normal irradiance forecast with multiple data types and time-series

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Journal of Modern Power systems and Clean energy 2019年第5期7卷 1319-1327页

作者： Tingting ZHU Hai ZHOU Haikun WEI Xin ZHAO Kanjian ZHANG Jinxia ZHANG key laboratory of Measurement and control of CSE Ministry of EducationSchool of AutomationSoutheast UniversityNanjing 210096China state key laboratory of operation and control of renewable energy and storage systems(China Electric Power Research Institute) Nanjing 210003China

Boosted by a strong solar power market,the electricity grid is exposed to risk under an increasing share of fluctuant solar *** increase the stability of the electricity grid,an accurate solar power forecast is needed to evaluate such *** terms of forecast,solar irradiance is the key factor of solar power generation,which is affected by atmospheric conditions,including surface meteorological variables and column integrated *** variables involve multiple numerical timeseries and ***,few studies have focused on the processing method of multiple data types in an interhour direct normal irradiance(DNI)*** this study,a framework for predicting the DNI for a 10-min time horizon was developed,which included the nondimensionalization of multiple data types and time-series,development of a forecast model,and transformation of the *** atmospheric variables were considered in the forecast framework,including the historical DNI,wind speed and direction,relative humidity time-series,and ground-based cloud *** were conducted to evaluate the performance of the forecast *** experimental results demonstrate that the proposed method performs well with a normalized mean bias error of 0.41%and a normalized root mean square error(n RMSE)of20.53%,and outperforms the persistent model with an improvement of 34%in the nRMSE.

关键词： Inter-hour forecast Direct normal irradiance Ground-based cloud images Multiple data types Multiple time-series

Ship collision impact on the structural load of an offshore wind turbine

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Global energy Interconnection 2020年第1期3卷 44-51页

作者： Haikun Jia Shiyao Qin Ruiming Wang Yang Xue Deyi Fu Anqing Wang state key laboratory of operation and control of renewable energy&storage systems China Electric Power Research InstituteP.R.China

When a maintenance and operations ship is berthing,there is a chance the ship may collide into the wind *** these ships collide into wind turbine structures,this can result in significant changes to the foundation and structure of the wind *** this paper,the structural load of a 4 MW offshore wind turbine was analyzed during a collision with an operations and maintenance *** variations in the wind speeds on hub height,waves,and the sea currents were *** dynamic simulation of the wind turbine was carried out using the test data as the input *** a result,the load condition of the turbine without a collision was ***,the measured turbine load was compared with the simulation *** study shows that the collision of the operation and the maintenance ship increases the bending moments at the tower’s bottom and the blade’s roots.

关键词： Offshore wind turbine Ship collision Offshore experiment Wind-wave-current coupling filed