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면역알고리즘 기반의 MECs (에너지허브) 시스템

Title
면역알고리즘 기반의 MECs (에너지허브) 시스템
Translated Title
An Immune Algorithm based Multiple Energy Carriers System
Authors
손병락강유경이현
DGIST Authors
손병락; 강유경; 이현
Issue Date
2014-08
Citation
한국태양에너지학회 논문집, 34(4), 23-29
Type
Article
ISSN
1598-6411
Abstract
Recently,inpowersystem studies,MultipleEnergyCarriers(MECs)suchasEnergyHubhasbeen broadlyutilizedinpowersystem plannersandoperators.Particularly,EnergyHubperformsoneofthemost importantroleastheintermediateinimplementingtheMECs.However,itstillneedstobeputunderexamination inbothmodelingandoperatingconcerns.Forinstance,aprobabilisticoptimizationmodelistreatedbyarobust globaloptimization techniquesuch asmulti-agentgeneticalgorithm (MAGA)which can supporttheonline economicdispatchofMECs.MAGA alsoreducestheinevitableuncertaintycausedbytheintegrationofselected inputenergycarriers.However,MAGA onlyconsiderscurrentstateoftheintegrationofselectedinputenergy carriersinconjunctivewiththeconditionofsmartgridenvironmentsfordecisionmakinginEnergyHub.Thus, inthispaper,weproposeanimmunealgorithm basedMultipleEnergyCarriersSystem whichcanadoptthe learningprocessinordertomakeaselfdecisionmakinginEnergyHub.Inparticular,theproposedimmune algorithm considersthepreviousstate,thecurrentstate,andthefuturestateoftheselectedinputenergycarriers inordertopredictthenextdecisionmakingofEnergyHubbasedontheprobabilisticoptimizationmodel.The below figureshowstheproposedimmunealgorithm basedMultipleEnergyCarriersSystem.Finally,wewill comparetheonlineeconomicdispatchofMECsoftwoalgorithmssuchasMAGA andimmunealgorithm based MECsbyusingRealTimeDigitalSimulator(RTDS).
URI
http://hdl.handle.net/20.500.11750/13359
DOI
10.7836/kses.2014.34.4.023
Publisher
한국태양에너지학회
Related Researcher
  • Author Son, Byungrak  
  • Research Interests 연료전지; Fuel Cell; 하이브리드 전원; Hybrid Power; 스택; Stack; 촉매; Catalyst; 연료전지시스템; Fuel Cell System;센서네트워크;Sensor Network
Files:
There are no files associated with this item.
Collection:
Division of Energy Technology1. Journal Articles


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