发布求助
文献互助 智能选刊 最新文献

Int. J. Energy Optim. Eng.最新文献

筛选
英文 中文
Power Distribution System Planning Using Q-GIS 基于Q-GIS的配电系统规划
Int. J. Energy Optim. Eng. Pub Date : 2018-04-01 DOI: 10.4018/IJEOE.2018040103
Shabbir Uddin, S. Chakravorty, K. Sherpa, A. Ray
{"title":"Power Distribution System Planning Using Q-GIS","authors":"Shabbir Uddin, S. Chakravorty, K. Sherpa, A. Ray","doi":"10.4018/IJEOE.2018040103","DOIUrl":"https://doi.org/10.4018/IJEOE.2018040103","url":null,"abstract":"ThisarticlefocusesontheusageandadvantageofincorporatingGeographicalInformationSystem for advancing thepowerdistribution system.Geographical InformationSystem-based electricity distribution system planning strategies are applied to determine optimum routing. Existing and proposedlayoutshavebeendrawnusingGIS-basedsoftwareQ-GIS2.12.3.Thissoftwarehelpsattach datawiththecorrespondinggeographic.AcomparisonbetweentheNewton-Raphsonloadflowstudy ofexistingandproposedlayoutsofdistributionsystemshasbeenperformedtofindthetechnical viabilityoftheproposedroute.Theinformationobtainedfromthepowerflowstudyisvoltageat eachloadandtherealpowerflowingineachline.Thevoltagesfoundbytheloadflowanalysisof existingandproposedlayoutsarecomparedtoshowthevoltageincrease.Thedevelopedsystem istestedona12bussystemsubstationofSikkimManipalInstituteofTechnology,Sikkim,India. KEywORDS Distribution System, Load Flow Analysis, QGIS (Quantum Geographical Information System)","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122359601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Economic Dispatch Problems Using Backtracking Search Optimization 基于回溯搜索优化的经济调度问题
Int. J. Energy Optim. Eng. Pub Date : 2018-04-01 DOI: 10.4018/IJEOE.2018040102
Kuntal Bhattacharjee
{"title":"Economic Dispatch Problems Using Backtracking Search Optimization","authors":"Kuntal Bhattacharjee","doi":"10.4018/IJEOE.2018040102","DOIUrl":"https://doi.org/10.4018/IJEOE.2018040102","url":null,"abstract":"The purpose of this article is to present a backtracking search optimization technique (BSA) to determinethefeasibleoptimumsolutionoftheeconomicloaddispatch(ELD)problemsinvolving differentrealisticequalityandinequalityconstraints,suchaspowerbalance,rampratelimits,and prohibitedoperatingzoneconstraints.Effectsofvalve-pointloading,multi-fueloptionoflarge-scale thermalplants,systemtransmissionlossarealsotakenintoconsiderationformorerealisticapplication. Twoeffectiveoperations,mutationandcrossover,helpBSAalgorithmstofindtheglobalsolution fordifferentoptimizationproblems.BSAhasthecapabilitytodealwithmultimodalproblemsdue toitspowerfulexplorationandexploitationcapability.BSAisfreefromsensitiveparametercontrol operations.Simulationresultssetuptheproposedapproachinabetterstagecomparedtoseveralother existingoptimizationtechniquesintermsqualityofsolutionandcomputationalefficiency.Results alsorevealtherobustnessoftheproposedmethodology. KEywORDS Backtracking Search Optimization, Economic Load Dispatch, Prohibited Operating Zone, Ramp Rate Limits, Valve-Point Loading","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128139178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
Multi-Input Single-Output State Space for Hybrid Power System Approach Using PEMFC: Fuel Cell and Applications 基于PEMFC的混合动力系统多输入单输出状态空间方法:燃料电池及其应用
Int. J. Energy Optim. Eng. Pub Date : 2017-10-01 DOI: 10.4018/IJEOE.2017100103
S. Sami, Sihem Nasri, B. Zafar, A. Cherif
{"title":"Multi-Input Single-Output State Space for Hybrid Power System Approach Using PEMFC: Fuel Cell and Applications","authors":"S. Sami, Sihem Nasri, B. Zafar, A. Cherif","doi":"10.4018/IJEOE.2017100103","DOIUrl":"https://doi.org/10.4018/IJEOE.2017100103","url":null,"abstract":"","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123436400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Confrontation of Lattice Boltzmann, Finite Difference and Taguchi Experimental Design Results for Optimizing Plasma Spraying Operating Conditions Toward Deposit Requirements 晶格玻尔兹曼、有限差分和田口实验设计结果的对抗优化等离子喷涂操作条件以满足沉积要求
Int. J. Energy Optim. Eng. Pub Date : 2017-10-01 DOI: 10.4018/IJEOE.2017100102
R. Djebali
{"title":"A Confrontation of Lattice Boltzmann, Finite Difference and Taguchi Experimental Design Results for Optimizing Plasma Spraying Operating Conditions Toward Deposit Requirements","authors":"R. Djebali","doi":"10.4018/IJEOE.2017100102","DOIUrl":"https://doi.org/10.4018/IJEOE.2017100102","url":null,"abstract":"","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127263324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Forecasting of Electricity Demand by Hybrid ANN-PSO Models 基于ANN-PSO混合模型的电力需求预测
Int. J. Energy Optim. Eng. Pub Date : 2017-10-01 DOI: 10.4018/IJEOE.2017100105
A. Anand, L. Suganthi
{"title":"Forecasting of Electricity Demand by Hybrid ANN-PSO Models","authors":"A. Anand, L. Suganthi","doi":"10.4018/IJEOE.2017100105","DOIUrl":"https://doi.org/10.4018/IJEOE.2017100105","url":null,"abstract":"Developing economies need to invest in energy projects. Because the gestation period of the electric projects is high, it is of paramount importance to accurately forecast the energy requirements. In the present paper, the future energy demand of the state of Tamil Nadu in India, is forecasted using an artificial neural network (ANN) optimized by particle swarm optimization (PSO) and by Genetic Algorithm (GA). Hybrid ANN Models have the potential to provide forecasts that perform well compared to the more traditional modelling approaches. The forecasted results obtained using the hybrid ANN-PSO models are compared with those of the ARIMA, hybrid ANN-GA, ANN-BP and linear models. Both PSO and GA have been developed in linear and quadratic forms and the hybrid ANN models have been applied to five-time series. Amongst all the hybrid ANN models, ANN-PSO models are the best fit models in all the time series based on RMSE and MAPE.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126237116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 29
Robustness of US Economy and Energy Supply/Demand Fluctuations 美国经济稳健与能源供需波动
Int. J. Energy Optim. Eng. Pub Date : 2017-10-01 DOI: 10.4018/IJEOE.2017100101
A. Aslani, M. Niknejad, A. Maghami
{"title":"Robustness of US Economy and Energy Supply/Demand Fluctuations","authors":"A. Aslani, M. Niknejad, A. Maghami","doi":"10.4018/IJEOE.2017100101","DOIUrl":"https://doi.org/10.4018/IJEOE.2017100101","url":null,"abstract":"Energyhasastrategicroleinsocialandeconomicdevelopmentofthecountries.Duetothehigh dependencyofenergysupplyonfossilfuels,fluctuationsinpricesandsupplyhavemacro/microeconomics effects for both energy exporters and importers. Therefore, understanding economic stabilitybasedonenergymarketchangesisanimportantsubjectforpolicymakersandresearchers. TheUS,asthefirstenergyconsumerintheworld,isaninterestingcountrytoanalyzetherelationships ofeconomicsrobustnesswithfossilfueleconomic-fluctuations.Whilethecountryhasoneofthe pioneersindomesticenergyutilization,thecompetitivenessofthecountryishighlydependenton energyprices.Inthispaper,theresearchersinvestigatetheeffectsofenergychangesontheeconomics oftheUS.First,theimpactofoilpriceonmacro-economicparametersisdiscussed.Afterthat,the mainissuesrelatedtoenergyeconomicsincludingresilienceoftheenergysector,energypolicies, economicsanalysisoftheenergysector,electricitymarketsarediscussed. KEywORDS Energy Economics, Macro-Economics, Robustness, US","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122387579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
An Empirical Result Analysis of Dynamic Weighted Live Migration Mechanism for Load Balancing in Cloud Computing 云计算负载均衡动态加权动态迁移机制的实证结果分析
Int. J. Energy Optim. Eng. Pub Date : 2017-10-01 DOI: 10.4018/IJEOE.2017100104
P. Tiwari, Sandeep Joshi
{"title":"An Empirical Result Analysis of Dynamic Weighted Live Migration Mechanism for Load Balancing in Cloud Computing","authors":"P. Tiwari, Sandeep Joshi","doi":"10.4018/IJEOE.2017100104","DOIUrl":"https://doi.org/10.4018/IJEOE.2017100104","url":null,"abstract":"","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121064590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Symbiotic Organism Search Algorithm for Optimal Size and Siting of Distributed Generators in Distribution Systems 配电网中分布式发电机最优规模和最优选址的共生生物搜索算法
Int. J. Energy Optim. Eng. Pub Date : 2017-07-01 DOI: 10.4018/IJEOE.2017070101
T. Nguyen, D. Vo, P. Vasant
{"title":"Symbiotic Organism Search Algorithm for Optimal Size and Siting of Distributed Generators in Distribution Systems","authors":"T. Nguyen, D. Vo, P. Vasant","doi":"10.4018/IJEOE.2017070101","DOIUrl":"https://doi.org/10.4018/IJEOE.2017070101","url":null,"abstract":"","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116839262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 22
Soft Computing Based Adaptive Error Optimisation for Control of Nonlinear System 基于软计算的非线性系统自适应误差优化控制
Int. J. Energy Optim. Eng. Pub Date : 2017-07-01 DOI: 10.4018/IJEOE.2017070104
Ashwani Kharola, P. Patil
{"title":"Soft Computing Based Adaptive Error Optimisation for Control of Nonlinear System","authors":"Ashwani Kharola, P. Patil","doi":"10.4018/IJEOE.2017070104","DOIUrl":"https://doi.org/10.4018/IJEOE.2017070104","url":null,"abstract":"Thispaperelaboratesanovelhybridlearningapproachfortrainingerroroptimisationandcontrolof highlydynamictriple-linkinvertedpendulumoncart.Thestudydemonstratesarelationshipbetween shapeandnumberofmembershipfunctions(MFs)ofbothlinearandconstanttypetodetermine training error tolerance of ANFIS controller. The results are plotted which clearly highlighted supremacyofconstanttypethreetriangularshapeMFs.Mathematicalmodelandsimulinkofproposed systemhasalsobeenanalysed.Thelearningabilityanddesigningmethodologyofadaptivenetworks androbustnessofPIDcontrollersarebrieflydescribed.Finally,thestudyillustratesanofflinemode comparisonofPIDbasedANFISandNeuralcontrollersintermsofsettlingtime,steadystateerror andovershoot. KEywORdS ANFIS, Membership Functions, Neural Networks, PID, Simulation, Soft Computing, Training Error, TripleLink Pendulum","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116620165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis of Energy System in Sweden Based on Time series Forecasting and Regression Analysis 基于时间序列预测和回归分析的瑞典能源系统分析
Int. J. Energy Optim. Eng. Pub Date : 2017-07-01 DOI: 10.4018/IJEOE.2017070105
S. Hosseini, A. Aslani, M. Naaranoja, Hamed Hafeznia
{"title":"Analysis of Energy System in Sweden Based on Time series Forecasting and Regression Analysis","authors":"S. Hosseini, A. Aslani, M. Naaranoja, Hamed Hafeznia","doi":"10.4018/IJEOE.2017070105","DOIUrl":"https://doi.org/10.4018/IJEOE.2017070105","url":null,"abstract":"","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125673789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信