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AUTOMATIC TUNING OF PID CONTROLLERS IN THE THERMAL POWER UNIT LOAD CONTROL SYSTEM 被引量:1
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作者 沈炯 陈来九 《Journal of Southeast University(English Edition)》 EI CAS 1993年第2期79-86,共8页
A method of measuring the interactions in a multivariable control sys-tem(MVCS)in time domain is defined in this paper.An intelligent decoupling com-pensator is designed in terms of the concept of fuzzy control,so tha... A method of measuring the interactions in a multivariable control sys-tem(MVCS)in time domain is defined in this paper.An intelligent decoupling com-pensator is designed in terms of the concept of fuzzy control,so that the auto-tuningof controllers’ parameters in a 2×2 MVCS can be turned into that of two independentsingle-loop control systems(SLCS).The method presented in the paper has success-fully been used in a simulation experiment on the automatic tuning of a coordinatedcontrol system(CCS)in the drum-boiler turbogenerating unit(DBTU)and the simu-lation results axe satisfactory. 展开更多
关键词 boiler-turbine COORDINATED CONTROL MULTIVARIABLE SYSTEM SELF-TUNING /decoupling PID CONTROL
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Optimization Analysis of Sustainable Solar Power System for Mobile Communication Systems
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作者 Mohammed H.Alsharif Raju Kannadasan +4 位作者 Amir Y.Hassan Wael Z.Tawfik Mun-Kyeom Kim Muhammad Asghar Khan Ahmad A.A.Solyman 《Computers, Materials & Continua》 SCIE EI 2022年第5期3243-3255,共13页
Cellular mobile technology has witnessed tremendous growth in recent times.One of the challenges facing the operators to extend the coverage of the networks to meet the rising demand for cellular mobile services is th... Cellular mobile technology has witnessed tremendous growth in recent times.One of the challenges facing the operators to extend the coverage of the networks to meet the rising demand for cellular mobile services is the power sources used to supply cellular towers with energy,especially in remote.Thus,switch from the conventional sources of energy to a greener and sustainable power model became a target of the academic and industrial sectors in many fields;one of these important fields is the telecommunication sector.Accordingly,this study aims to find the optimum sizing and technoeconomic investigation of a solar photovoltaic scheme to deploy cellular mobile technology infrastructure cleanly and sustainably.The optimal solarpowered system is designed by employing the energy-balance procedures of the HOMER software tool.The problem objective is considered in terms of cost,but the energy system is constrained to meet the power demand reliably.Process simulations were performed to determine the optimum sizing,performance and monetary cost of the power system,using long-term meteorological datasets for a case study site with defined longitude(31◦25E)and latitude(30◦06N).From the observed results,the total net present cost(NPC)of the proposed system is$28,187.Indeed,these outcomes can provide profound economic,technical,and ecological benefits to cellular operators.It also ensures a sizeable reduction in greenhouse gas that supports sustainable green wireless network(WN)deployment in remote areas. 展开更多
关键词 Wireless networks green wireless networks green communications SUSTAINABILITY OPEX
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Taking into Account of Functional Constraints in Optimization of Modes of Power Systems by Genetic Algorithms
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作者 Gayibov Tulkin Shernazarovich Latipov Sherkhon Shuxratovich 《Engineering(科研)》 2019年第4期240-246,共7页
The development of the capabilities of computational tools has created up new possibilities for the effective use of a number of classical mathematical methods and algorithms for solving many important problems in the... The development of the capabilities of computational tools has created up new possibilities for the effective use of a number of classical mathematical methods and algorithms for solving many important problems in the power engineering. In particular, a set of algorithms are developed to optimize the modes of electric power systems based on genetic algorithms. At the same time, the issues of taking into account functional constraints in solving such problems by genetic algorithms need to be improved. In accordance with it in this article the problems of taking into account of different constraints in optimization of modes of power systems using genetic algorithms are considered. The algorithm of optimization by genetic algorithm taking into account of functional constraints in forms of equality and inequality by penalty functions is proposed. The results of research of proposed algorithm’s efficiency in example of optimization of mode of power system with 8 buses, 4 thermal power plants and 3 transmission lines with controlled power flow are presented. 展开更多
关键词 OPTIMIZATION POWER System POWER Plant Objective Function CONSTRAINT
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Analysis and Defense of Attack Risks under High Penetration of Distributed Energy
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作者 Boda Zhang Fuhua Luo +3 位作者 Yunhao Yu Chameiling Di Ruibin Wen Fei Chen 《Energy Engineering》 2026年第2期206-228,共23页
The increasing intelligence of power systems is transforming distribution networks into Cyber-Physical Distribution Systems(CPDS).While enabling advanced functionalities,the tight interdependence between cyber and phy... The increasing intelligence of power systems is transforming distribution networks into Cyber-Physical Distribution Systems(CPDS).While enabling advanced functionalities,the tight interdependence between cyber and physical layers introduces significant security challenges and amplifies operational risks.To address these critical issues,this paper proposes a comprehensive risk assessment framework that explicitly incorporates the physical dependence of information systems.A Bayesian attack graph is employed to quantitatively evaluate the likelihood of successful cyber attacks.By analyzing the critical scenario of fault current path misjudgment,we define novel system-level and node-level risk coupling indices to preciselymeasure the cascading impacts across cyber and physical domains.Furthermore,an attack-responsive power recovery optimization model is established,integrating DistFlowbased physical constraints and sophisticated modeling of information-dependent interference.To enhance resilience against varying attack scenarios,a defense resource allocation model is constructed,where the complex Mixed-Integer Nonlinear Programming(MINLP)problem is efficiently linearized into a Mixed-Integer Linear Programming(MILP)formulation.Finally,to mitigate the impact of targeted attacks,the optimal deployment of terminal defense resources is determined using a Stackelberg game-theoretic approach,aiming to minimize overall system risk.The robustness and effectiveness of the proposed integrated framework are rigorously validated through extensive simulations under diverse attack intensities and defense resource constraints. 展开更多
关键词 CPDS cyber-physical interdependence Bayesian attack graph Stackelberg game risk assessment framework power recovery resource allocation
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Interpretable machine learning analysis on CO_(2)adsorption and separation capacity of biochar under multi-scenario conditions
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作者 Jialiang Dong Ruikun Wang +5 位作者 Yulong Xie Fuyan Gao ShiTeng Tan Zhenghui Zhao Qianqian Yin Eric J.Hu 《Green Energy & Environment》 2026年第1期131-147,共17页
Biochar has been widely recognized as a promising solid CO_(2)adsorbent with economic and ecological benefits.Industrial CO_(2)emissions originate from diverse sources,while the pore structure and chemical functional ... Biochar has been widely recognized as a promising solid CO_(2)adsorbent with economic and ecological benefits.Industrial CO_(2)emissions originate from diverse sources,while the pore structure and chemical functional groups of biochar exhibit varying degrees of influence on CO_(2)adsorption and separation performance under different adsorption conditions.Therefore,exploring the matching relationship between the physicochemical properties of biochar and its adsorption and separation performance at different adsorption conditions is essential for the development and optimization of carbon-based adsorbents.This study selected the high-performance extreme gradient boosting(XGB)algorithm from various algorithms and utilized it to develop CO_(2),N_(2),CH_(4)adsorption prediction models.Based on this,coupled prediction models were developed for CO_(2)/N_(2)and CO_(2)/CH_(4)adsorption selectivity.Furthermore,feature importance and partial dependence analysis were performed using SHAP values.The results indicate that during CO_(2)adsorption,the influence of the pore structure of biochar outweighs that of its chemical composition.Specifically,the pore structure of 0.4–0.6 nm is the most important property influencing CO_(2)adsorption at low and medium pressure(0–0.6 bar),and the pore structure of 0.6–0.8 nm,as well as the specific surface area contribute the most at high pressure(0.6–1 bar).During CO_(2)selective separation,the CO_(2)/N_(2)mixture is primarily separated through the selective adsorption of CO_(2)by nitrogen functional groups.In contrast,for CO_(2)/CH_(4)mixtures,pore structure<1 nm plays a more critical role in determining adsorption selectivity.In addition,molecular simulation studies further revealed the adsorption filling mechanisms of CO_(2)molecules within different pore sizes and functional groups.Finally,nitrogen-doped biochar was synthesized using de-alkalize lignin as the precursor,KOH as the activating agent,and urea as the nitrogen dopant.CO_(2),N_(2),and CH_(4)isothermal adsorption experiments were conducted,and the experimental results confirmed that the developed prediction models exhibit high accuracy(R^(2)>0.9). 展开更多
关键词 BIOCHAR CO_(2)separation Machine learning Molecular simulation Property-effective relationship
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Formation and emission characteristics of VOCs from a coal-fired power plant 被引量:4
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作者 Jingying Xu Yue Lyu +3 位作者 Jiankun Zhuo Yishu Xu Zijian Zhou Qiang Yao 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2021年第7期256-264,共9页
On-site measurements of volatile organic compounds(VOCs)in different streams of flue gas were carried out on a real coal-fired power plant using sampling bags and SUMMA canisters to collect gas samples,filters to coll... On-site measurements of volatile organic compounds(VOCs)in different streams of flue gas were carried out on a real coal-fired power plant using sampling bags and SUMMA canisters to collect gas samples,filters to collect particle samples.Gas chromatography-flame ionization detector/mass spectrometry and gas chromatography-mass spectrometry was the offline analysis method.We found that the total mass concentration of the tested 102 VOC species at the outlet of wet flue gas desulfuration device was(13456±47)μg·m^(-3),which contained aliphatic hydrocarbons(57.9%),aromatic hydrocarbons(26.8%),halogen-containing species(14.5%),and a small amount of oxygen-containing and nitrogencontaining species.The most abundant species were 1-hexene,n-hexane and 2-methylpentane.The top ten species in terms of mass fraction(with a total mass fraction of 75.3%)were mainly hydrocarbons with a carbon number of 6 or higher and halogenated hydrocarbons with a lower carbon number.The mass concentration of VOC species in the particle phase was significantly lower than that in the gas phase.The change of VOC mass concentrations along the air pollution control devices indicates that conventional pollutant control equipment had a limited effect on VOC reduction.Ozone formation potential calculations showed that aromatic hydrocarbons contributed the highest ozone formation(46.4%)due to their relatively high mass concentrations and MIR(maximum increment reactivity)values. 展开更多
关键词 Volatile organic compounds Coal combustion Ozone formation potential Coal-fired power plant On-site measurement
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Variable Parameter Nonlinear Control for Maximum Power Point Tracking Considering Mitigation of Drive-train Load 被引量:2
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作者 Zaiyu Chen Minghui Yin +3 位作者 Lianjun Zhou Yaping Xia Jiankun Liu Yun Zou 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2017年第2期252-259,共8页
Since mechanical loads exert a significant influence on the life span of wind turbines, the reduction of transient load on drive-train shaft has received more attention when implementing a maximum power point tracking... Since mechanical loads exert a significant influence on the life span of wind turbines, the reduction of transient load on drive-train shaft has received more attention when implementing a maximum power point tracking U+0028 MPPT U+0029 controller. Moreover, a trade-off between the efficiency of wind energy extraction and the load level of drive-train shaft becomes a key issue. However, for the existing control strategies based on nonlinear model of wind turbines, the MPPT efficiencies are improved at the cost of the intensive fluctuation of generator torque and significant increase of transient load on drive train shaft. Hence, in this paper, a nonlinear controller with variable parameter is proposed for improving MPPT efficiency and mitigating transient load on drive-train simultaneously. Then, simulations on FAST U+0028 Fatigue, Aerodynamics, Structures, and Turbulence U+0029 code and experiments on the wind turbine simulator U+0028 WTS U+0029 based test bench are presented to verify the efficiency improvement of the proposed control strategy with less cost of drive-train load. © 2017 Chinese Association of Automation. 展开更多
关键词 AERODYNAMICS Controllers Economic and social effects Maximum power point trackers Wind power Wind turbines
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An Investigation of Battery Energy Storage Aided Wind-Coal Integrated Energy System 被引量:2
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作者 Enhui Sun Jiahao Shi +3 位作者 Lei Zhang Hongfu Ji Qian Zhang Yongyi Li 《Energy Engineering》 EI 2023年第7期1583-1602,共20页
This paper studies the feasibility of a supply-side wind-coal integrated energy system.Based on grid-side data,the load regulation model of coal-fired power and the wind-coal integrated energy system model are establi... This paper studies the feasibility of a supply-side wind-coal integrated energy system.Based on grid-side data,the load regulation model of coal-fired power and the wind-coal integrated energy system model are established.According to the simulation results,the reasons why the wind-coal combined power supply is difficult to meet the grid-side demand are revealedthrough scenario analysis.Basedon thewind-coal combinedoperation,a wind-coalstorage integrated energy system was proposed by adding lithium-iron phosphate battery energy storage system(LIPBESS)to adjust the load of the system.According to the four load adjustment scenarios of grid-side instructions of the wind-coal system,the difficulty of load adjustment in each scenario is analyzed.Based on the priority degree of LIPBESS charge/discharge in four scenarios at different time periods,the operation mode of two charges and two discharges per day was developed.Based on the independent operation level of coal-fired power,after the addition of LIPBESS(5.5 MWh),the average qualified rate of multi-power operation in March and June reached the level of independent operation of coal-fired power,while the average qualified rate of the remaining months was only 5.4%different from that of independent operation of coal-fired power.Compared with the wind storage mode,the energy storage capacity and investment cost of wind-coal-storage integrated energy system are reduced by 54.2%and 53.7%,respectively. 展开更多
关键词 Wind power lithium-iron phosphate battery energy storage system coal-fired power integrated energy system
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REAL-TIME SOFTWARE SYSTEM FOR PRODUCTION PROCESS SUPERVISION
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作者 林中达 《Journal of Southeast University(English Edition)》 EI CAS 1991年第2期83-89,共7页
The real-time software system for production process supervision is a inte-gral system,including on-line function subsystem for supervision and off-line auxiliarysubsystem for development and diagnosis.This paper intr... The real-time software system for production process supervision is a inte-gral system,including on-line function subsystem for supervision and off-line auxiliarysubsystem for development and diagnosis.This paper introduces a real-time software sys-tem which has been used in a power station for monitoring a large capacity thermal gener-ating unit.The subsystems,environment,performance and development of the system areexplained,and the common problems about real-time software system are described. 展开更多
关键词 REAL-TIME SYSTEM SYSTEM reliability/system performance SOFTWARE development application PACKAGE
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Optimal Portfolio Selection of Wind Power Plants Using a Stochastic Risk-Averse Optimization Model, Considering the Wind Complementarity of the Sites and a Budget Constraint
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作者 Luiz A. S. Camargo Laís D. Leonel +1 位作者 Pedro S. Rosa Dorel S. Ramos 《Energy and Power Engineering》 2020年第8期459-476,共18页
This work focuses on the best financial resources allocation to define a wind power plant portfolio, considering a set of feasible sites. To accomplish the problem formulation and solution, the first step was to estab... This work focuses on the best financial resources allocation to define a wind power plant portfolio, considering a set of feasible sites. To accomplish the problem formulation and solution, the first step was to establish a long-term wind series reconstruction methodology for generating scenarios of wind energy, applying it to study five different locations of the Brazilian territory. Secondly, a risk-averse stochastic optimization model was implemented and used to define the optimal wind power plant selection </span><span style="font-family:Verdana;">that</span><span style="font-family:Verdana;"> maximize</span><span style="font-family:Verdana;">s</span><span style="font-family:Verdana;"> the portfolio financial results, considering an investment budget constraint. In a sequence, a case study was developed to illustrate a practical situation of applying the methodology to the portfolio selection problem, considering five wind power plant</span><span style="font-family:Verdana;">s</span><span style="font-family:Verdana;"> options. </span><span style="font-family:Verdana;">The case</span><span style="font-family:Verdana;"> study was supported by the proposed optimization model, using the scenarios of generation created by the reconstruction methodology. The obtained results show the model performance in terms of defining the best financial resources allocation considering the effect of the complementarity between sites, making it feasible to select the optimal set of wind power plants, characterizing a wind plant optimal portfolio that takes into account the budget constraint. The adopted methodology makes it possible to realize that the diversification of the portfolio depends on the investor risk aversion. Although applied to the Brazilian case, this model can be customized to solve a similar problem worldwide. 展开更多
关键词 Wind Power Plant Portfolio Selection Risk Aversion Stochastic Optimiza-tion
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Demonstration of a Dynamic Braking System for Reduced Runaway Speed of Hydraulic Turbines
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作者 Urban Lundin Johan Bladh 《Journal of Power and Energy Engineering》 2017年第12期46-57,共12页
Reducing the overspeed during load rejection would benefit the mechanical and hydraulic systems in a hydropower station. This paper presents some selected results of a pilot installation of a dynamic braking system. T... Reducing the overspeed during load rejection would benefit the mechanical and hydraulic systems in a hydropower station. This paper presents some selected results of a pilot installation of a dynamic braking system. The 4 MW dump load was installed and tested on a 10 MW Francis turbine unit. The results show that the overspeed reduction is obtained and compares well with simulation results. Further, a reduction in vibration levels is positive as well as the reduced time for stopping and possible resynchronization. It is argued that a similar system with continuous cooling could be used as an attractive alternative to spillway capacity. 展开更多
关键词 DYNAMIC BRAKING RESISTOR Electrode BOILER HYDROPOWER Generator RUNAWAY Speed Water Turbine
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Study on Correlation of Angstrom Turbidity Coefficient (β) with Aerosol Optical Depth (τ) over a Period of Two Years (2004-2006) for the Special Mangrove Ecosystem of Sun-darbans
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作者 Indranil Mukherjee Niladri Chakraborty 《Open Journal of Air Pollution》 2012年第3期74-81,共8页
A study on the correlation of the angstrom turbidity coefficient (β) with aerosol optical depth (τ) have been studied on the basis of field measurements carried out at Kaikhali (22.022°N & 88.614°E) ly... A study on the correlation of the angstrom turbidity coefficient (β) with aerosol optical depth (τ) have been studied on the basis of field measurements carried out at Kaikhali (22.022°N & 88.614°E) lying in the east coast of India inside the Sundarbans. The angstrom turbidity coefficients have been calculated with respect to the filter channels at 340 nm, 500 nm, 870 nm, 936 nm and 1020 nm of a Sunphotometer. Assessment of the possible influx of the fine particulate concentrations to the total aerosol loading in the area have been made with respect to the calculated angstrom turbidity values for the summer and winter seasons over a period of two years from 2004 to 2006. Substantially high angstrom turbidity coefficient values exceeding 0.2 and indicative of a relatively hazy atmosphere for both the summer and winter periods over these two years from 2004-2006 have been observed. Considering the importance of this fragile mangrove ecosystem of the Sundarbans and also the vulnerability of the area to severe impacts of climate changes, this is indeed a thought provoking issue as far as the policy makers of the country are concerned. In fact, the study has confirmed positive correlation of β with τ. 展开更多
关键词 ANGSTROM TURBIDITY COEFFICIENT (β) AEROSOL Optical Depth (τ) PM10 PM2.5 BIODIVERSITY
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New Analytical Model for Optimal Placement of Wind Turbines in Power Network under Pool and Reserve Markets Conditions
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作者 Babak Safari Chabok Ahmad Ashouri +2 位作者 Majid Yekta Khalilsaraei Hossein Shahidi Moghadam Fariborz Ghasemi 《Energy and Power Engineering》 2016年第10期313-325,共13页
In this paper a new market based analytical model is proposed for optimal placement of Wind Turbines (WTs) in power systems. In addition to wind turbines, thermal units (THUs) and Pumped Storage Hydro Power Plants (PS... In this paper a new market based analytical model is proposed for optimal placement of Wind Turbines (WTs) in power systems. In addition to wind turbines, thermal units (THUs) and Pumped Storage Hydro Power Plants (PSHPPs) owners participate in power market. Objective function is defined as participants’ social welfare achieved from power pool and ancillary markets in yearly horizon. Wind turbines have been modeled by probability-generation tree scenarios based on statistical information. We concentrate on investment profits of WTs numbers and its generation capacity beside to PSHPPs and THUs power plants in power systems due to increase in high flexible tools for Independent system operator into the planning and operation planning time interval. For effectiveness evaluation of proposed model, simulation studies are applied on 14-Bus IEEE test power system. 展开更多
关键词 Wind Turbine Pumped Storage Hydro Power Plants (PSHPPs) Power Pool and Ancillary Market Independent System Operator
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Accelerated Particle Swarm Optimization for Controlling Virtual Power Plant Consisting of Renewable Energy Sources
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作者 Jan Ivanecky Daniel Hropko Miroslav Kovac 《Journal of Energy and Power Engineering》 2013年第7期1408-1414,共7页
RES (renewable energy sources), such as wind and photovoltaic power plants, suffer from their stochastic nature that is why their behavior on market is very delicate. In order to diversify risk, a concept of VPP (v... RES (renewable energy sources), such as wind and photovoltaic power plants, suffer from their stochastic nature that is why their behavior on market is very delicate. In order to diversify risk, a concept of VPP (virtual power plant) has been developed. The VPP is composed of several RES, from which at least one of them is fully controllable. Because the production of noncontrollable RES can not be forecasted perfectly, therefore an optimal dispatch schedule within VPP is needed. To address this problem, an APSO (accelerated particle swarm optimization) is used to solve the constrained optimal dispatch problem within VPP. The experimental results show that the proposed optimization method provides high quality solutions while meeting constraints. 展开更多
关键词 Virtual power plant particle swarm optimization renewable energy sources optimal dispatch.
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Study of a Single-Phase Series Active Power Filter with Hysteresis Control
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作者 Mihail Antchev Mariya Petkova +2 位作者 Hristo Antchev Vanjo Gourgoulitsov Stanimir Valchev 《Journal of Energy and Power Engineering》 2012年第10期1635-1642,共8页
The paper presents results from a study of a series-connected single-phase APF (active power filter) with a control system based on hysteresis control, both with and without limitation of the maximum switching frequ... The paper presents results from a study of a series-connected single-phase APF (active power filter) with a control system based on hysteresis control, both with and without limitation of the maximum switching frequency. The general purpose of the series APF is to eliminate the low order harmonics of the source (grid) voltage. The filter operation at limited and unlimited maximum switching frequency is explained and it is described using building blocks and time diagrams illustrating the tracking down of the reference curve. Waveforms from the computer simulation and waveforms from the experimental tests of the filter are presented also for the two situations. Operations at limited and unlimited maximum switching frequency are compared regarding the quality of the voltage across the load, the complexity of the implementation of the control system, and the electromagnetic compatibility. The investigation proved capability of the series APF to achieve its general purpose using the hysteresis control methods studied (limited and unlimited switching frequency). 展开更多
关键词 Series active power filter APF hysteresis control frequency limitation.
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Numerical Analysis of Rotor Blade Angle Influence on Stall Onset in an Axial Fan
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作者 Yongsheng Wang Xiangwu Lu +1 位作者 Wei Yuan Lei Zhang 《Fluid Dynamics & Materials Processing》 2025年第6期1505-1528,共24页
This study explores the influence of rotor blade angle on stall inception in an axial fan by means of numerical simulations grounded in the Reynolds-Averaged Navier-Stokes(RANS)equations and the Realizable k-εturbule... This study explores the influence of rotor blade angle on stall inception in an axial fan by means of numerical simulations grounded in the Reynolds-Averaged Navier-Stokes(RANS)equations and the Realizable k-εturbulence model.By analyzing the temporal behavior of the outlet static pressure,along with the propagation velocity of stall inception,the research identifies distinct patterns in the development of stall.The results reveal that stall inception originates in the second rotor impeller.At a blade angle of 27°,the stall inception follows a modal wave pattern,while in all other cases,it assumes the form of spike-type stall.The flow field associated with spike stall inception demonstrates a relatively uniform gradient in the radial direction,whereas the modal wave stall case displays a distinctive“L”-shaped propagation feature.At blade angles of multiple stall inceptions are observed.-9°and-18°,These phenomena initiate at the blade’s leading edge,propagate along both axial and radial directions,and transition dynamically between single and multiple inception states. 展开更多
关键词 Rotor blade angle spike stall inception modal wave stall inception numerical simulation axial fan
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Numerical Analysis of Dual Atomizing Nozzle Jets in a Waste Warehouse
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作者 Yan Xiong Xiangnan Song +3 位作者 Jiawei Lu Lei Liu Yaru Yan Xuemin Ye 《Fluid Dynamics & Materials Processing》 2025年第5期1063-1077,共15页
Enhancing the fermentation efficiency of waste in waste warehouses is pivotal for accelerating the pyrolysis process and minimizing harmful gas emissions.This study proposes an integrated approach,combining hot air in... Enhancing the fermentation efficiency of waste in waste warehouses is pivotal for accelerating the pyrolysis process and minimizing harmful gas emissions.This study proposes an integrated approach,combining hot air injection with dual atomizing nozzles,for the thermal treatment of waste piles.Numerical simulations are employed to investigate the influence of various parameters,namely,nozzle height,nozzle tilt angle,inlet air velocity and air temperature,on the droplet diffusion process,spread area,droplet temperature,and droplet size distribution.The results show that reducing the nozzle height increases the temperature of droplets upon their deposition on the waste pile.Specifically,when the nozzle height is lowered to 1.5 m,the temperature of the droplets reaching the waste pile is 1℃higher than when the nozzle height is set at 2 m.Furthermore,an increase in the nozzle tilt angle expands the overlapping heating area.For instance,when the nozzle angle is increased from 15°to 30°,the overlapping spread area expands by 3.21 m2.Additionally,increasing the inlet air velocity enhances the droplet diffusion range.At an air velocity of 2 m/s,the droplet diffusion range grows to 14.4 m,representing a 6.7%increase compared to the nowind condition.While the average droplet diameter decreases to 1.53 mm,the droplet temperature decreases by 1℃.Moreover,the droplet temperature is found to become smaller as the ambient temperature inside the waste warehouse declines.Specifically,a 5℃reduction in the ambient temperature results in a 1℃decrease in the average temperature of the atomized droplets.The study concludes that a nozzle height of 1.5 m and a nozzle tilt angle of 30°effectively meet practical heating requirements. 展开更多
关键词 Atomizing nozzle JET spread range droplet diameter distribution numerical simulation
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A novel balance method for determining the energy efficiency of electric traction networks
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作者 Konstantin Suslov Andrey Kryukov +2 位作者 Aleksandr Cherepanov Andrey Batukhtin Yanhong Luo 《Global Energy Interconnection》 2025年第4期640-656,共17页
Modern electric traction networks(ETN)are equipped with automated systems for commercial accounting of power consumption(ASCAPC),which allows solving properly the problems of enhancing the energy efficiency of transpo... Modern electric traction networks(ETN)are equipped with automated systems for commercial accounting of power consumption(ASCAPC),which allows solving properly the problems of enhancing the energy efficiency of transportation processes.Energy efficiency of ETNs is defined as the amount of power losses in ETN components:overhead catenary systems and traction transformers.Due to the instability of traction loads and changes in their location in space,the electric traction network is different from the general network.It is necessary to develop an approach for loss analysis in traction networks and in transformers of traction substations.To solve this prob-lem,a balance-based technique for power loss calculation in traction networks based on ASCAPC data is proposed.First,the balance-based technique presented here breaks down the power consumption of the train by source.Then,calculates technical power losses in 25 and 225 kV traction networks as well as in traction transformers.Last,the technique is implemented in the form of an algorithm tested on real-life data and it is ready for practical use. 展开更多
关键词 Electric traction networks Automated systems for commercial accounting of power consumption Electricity losses Source breakdown of electricity consumption
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Bio-energy potential of cotton stalks via thermal technologies:a review
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作者 ELSHAREEF Hussien YU Yaohong +5 位作者 FU Yongkun REN Sihao TURSUNOV Obid LI Yu DONG Renjie ZHOU Yuguang 《Journal of Cotton Research》 2025年第4期561-576,共16页
One of the solutions to the global warming risk and other climate issues is to concentrate on research and development of utilizing biomass as a fossil fuel alternative.The current estimate of cotton residue waste in ... One of the solutions to the global warming risk and other climate issues is to concentrate on research and development of utilizing biomass as a fossil fuel alternative.The current estimate of cotton residue waste in the world is about 50 million tons.This massive volume of biomass waste should be turned into clean energy to avert burning the stalks in open fields after cotton harvesting.Therefore,harmful emissions such as CO_(2) will be reduced.This study aims to investigate the published literature to comprehend the bioenergy production from the thermal treatment of cotton stalks,including combustion,pyrolysis,carbonization,torrefaction,liquefaction,and gasification.Furthermore,the future outlook,utilization,and prospective challenges of agricultural biomass for biofuel production are discussed.According to the literature,biochar and bio-oil derived from cotton stalks have high heating values of about 27.5 and 37.2 MJ·kg~(–1),respectively.These values are double those of cotton stalk raw materials,which make it a good candidate for bioenergy production.This article offers valuable insight into cotton stalk utilization via thermochemical treatment and provides a solid reference for researchers,policymakers,and other stakeholders in this field. 展开更多
关键词 Cotton production BIOMASS Cotton stalks Thermal conversion Calorific value
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A combined technique of Kalman filter, artificial neural network and fuzzy logic for gas turbines and signal fault isolation 被引量:10
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作者 Simone TOGNI Theoklis NIKOLAIDIS Suresh SAMPATH 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2021年第2期124-135,共12页
The target of this paper is the performance-based diagnostics of a gas turbine for the automated early detection of components malfunctions. The paper proposes a new combination of multiple methodologies for the perfo... The target of this paper is the performance-based diagnostics of a gas turbine for the automated early detection of components malfunctions. The paper proposes a new combination of multiple methodologies for the performance-based diagnostics of single and multiple failures on a two-spool engine. The aim of this technique is to combine the strength of each methodology and provide a high success rate for single and multiple failures with the presence of measurement malfunctions. A combination of KF(Kalman Filter), ANN(Artificial Neural Network) and FL(Fuzzy Logic) is used in this research in order to improve the success rate, to increase the flexibility and the number of failures detected and to combine the strength of multiple methods to have a more robust solution. The Kalman filter has in his strength the measurement noise treatment, the artificial neural network the simulation and prediction of reference and deteriorated performance profile and the fuzzy logic the categorization flexibility, which is used to quantify and classify the failures. In the area of GT(Gas Turbine) diagnostics, the multiple failures in combination with measurement issues and the utilization of multiple methods for a 2-spool industrial gas turbine engine has not been investigated extensively.This paper reports the key contribution of each component of the methodology and brief the results in the quantification and classification success rate. The methodology is tested for constant deterioration and increasing noise and for random deterioration. For the random deterioration and nominal noise of 0.4%, in particular, the quantification success rate is above 92.0%, while the classification success rate is above 95.1%. Moreover, the speed of the data processing(1.7 s/sample)proves the suitability of this methodology for online diagnostics. 展开更多
关键词 Artificial neural network Data analytics Data filtering DIAGNOSTICS Fuzzy logic Gas turbine Kalman filter Performance-based diagnostics
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