본문

서브메뉴

Modeling and Control of Electric Loads for Ancillary Services and Decarbonization
Modeling and Control of Electric Loads for Ancillary Services and Decarbonization
Modeling and Control of Electric Loads for Ancillary Services and Decarbonization

상세정보

자료유형  
 학위논문 서양
최종처리일시  
20260202103644
ISBN  
9798314874486
DDC  
620
저자명  
Oyefeso, Oluwagbemileke.
서명/저자  
Modeling and Control of Electric Loads for Ancillary Services and Decarbonization
발행사항  
[Sl] : University of Michigan, 2025
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2025
형태사항  
159 p
주기사항  
Source: Dissertations Abstracts International, Volume: 86-11, Section: B.
주기사항  
Advisor: Hiskens, Ian A.;Mathieu, Johanna L.
학위논문주기  
Thesis (Ph.D.)--University of Michigan, 2025.
초록/해제  
요약Towards decarbonizing power systems and achieving sustainability goals, traditional power plants, such as coal fired power plants, are being phased out and replaced with renewable generation alternatives. Historically, synchronous generators of traditional power plants provided much of the essential load balancing services required to match scheduled generation and demand, ensuring power system reliability. Hence, with the sunsetting of traditional generation, new sources of load balancing flexibility are needed. Furthermore, the inherent intermittent and variable nature of renewable generation typically requires an increase in the load balancing services needed. Aggregations of electric loads, such as thermostatically controlled loads (TCLs), hold substantial potential to offer this flexibility, given their thermal inertia and ubiquity.TCLs are an ubiquitous resource with inherent temporal flexibility that allows them cycle on/off and consume power in cycles. This flexibility can be leveraged for power system objectives. The abundance and spatial distribution of TCLs make them a prime and valuable candidate to provide flexibility to the power grid.This dissertation develops models and control algorithms for leveraging the flexibility of TCL resources and practically demonstrates the ancillary service and decarbonization potential of these loads. Building on established hierarchical load control methods, a novel device-driven approach for coordinating aggregations of TCLs is created. The developed control design was tested and validated via simulations and hardware-in-the-loop (HIL) experiments. Also, communication architectures enabling cyber-physical demonstrations of load control for frequency regulation were developed.In this dissertation, the state-of-the-art device-driven packetized energy management (PEM) aggregate load control strategy, which coordinates only thermostatic loads without compressors, is improved upon to create a new device-driven method that enables coordination and control of all classes of thermostatic loads. The new control approach when compared to the state-of-the-art PEM, significantly improves control flexibility and signal tracking performance with the load aggregation. It is demonstrated with simulation and HIL experiments that the newly developed device-driven control is able to satisfactorily (according to industry standards) provide up to 1 MW capacity of frequency regulation balancing service using about a thousand residential air conditioners. An aggregate model of the new device-driven strategy that can be used for predictive control and analyzing system dynamics is also developed.There exists significant efforts to decarbonize by replacing fossil-fuel dependent systems like space heating with electric heat pumps, appliances such as dryers and water heaters, with electric versions. The transition to electrified homes is crucial for climate goals but requires precise evaluation methods to understand energy, economic, and environmental impacts. A systematic review of energy modeling approaches, used in electrification and decarbonization impact assessments, is also presented in this dissertation.Overall, this dissertation attempts to establish credibility for aggregate control of electric loads in providing power system balancing services and harnessing the decarbonization potential of load electrification. This dissertation identifies and overcomes challenges involving electric load aggregations, showing they can indeed provide the additional flexibility required in modern power systems. 
일반주제명  
Engineering
일반주제명  
Energy
일반주제명  
Electrical engineering
일반주제명  
Environmental engineering
키워드  
Thermostatically controlled loads
키워드  
Virtual power plants
키워드  
Air conditioners
키워드  
Packetized energy management
키워드  
Frequency regulation
기타저자  
University of Michigan Electrical and Computer Engineering
기본자료저록  
Dissertations Abstracts International. 86-11B.
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

 008260126s2025        us                              c    eng  d
■001000017358101
■00520260202103644
■006m          o    d                
■007cr#unu||||||||
■020    ▼a9798314874486
■035    ▼a(MiAaPQ)AAI32092587
■035    ▼a(MiAaPQ)umichrackham006130
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a620
■1001  ▼aOyefeso,  Oluwagbemileke.
■24510▼aModeling  and  Control  of  Electric  Loads  for  Ancillary  Services  and  Decarbonization
■260    ▼a[Sl]▼bUniversity  of  Michigan▼c2025
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2025
■300    ▼a159  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  86-11,  Section:  B.
■500    ▼aAdvisor:  Hiskens,  Ian  A.;Mathieu,  Johanna  L.
■5021  ▼aThesis  (Ph.D.)--University  of  Michigan,  2025.
■520    ▼aTowards  decarbonizing  power  systems  and  achieving  sustainability  goals,  traditional  power  plants,  such  as  coal  fired  power  plants,  are  being  phased  out  and  replaced  with  renewable  generation  alternatives.  Historically,  synchronous  generators  of  traditional  power  plants  provided  much  of  the  essential  load  balancing  services  required  to  match  scheduled  generation  and  demand,  ensuring  power  system  reliability.  Hence,  with  the  sunsetting  of  traditional  generation,  new  sources  of  load  balancing  flexibility  are  needed.  Furthermore,  the  inherent  intermittent  and  variable  nature  of  renewable  generation  typically  requires  an  increase  in  the  load  balancing  services  needed.  Aggregations  of  electric  loads,  such  as  thermostatically  controlled  loads  (TCLs),  hold  substantial  potential  to  offer  this  flexibility,  given  their  thermal  inertia  and  ubiquity.TCLs  are  an  ubiquitous  resource  with  inherent  temporal  flexibility  that  allows  them  cycle  on/off  and  consume  power  in  cycles.  This  flexibility  can  be  leveraged  for  power  system  objectives.  The  abundance  and  spatial  distribution  of  TCLs  make  them  a  prime  and  valuable  candidate  to  provide  flexibility  to  the  power  grid.This  dissertation  develops  models  and  control  algorithms  for  leveraging  the  flexibility  of  TCL  resources  and  practically  demonstrates  the  ancillary  service  and  decarbonization  potential  of  these  loads.  Building  on  established  hierarchical  load  control  methods,  a  novel  device-driven  approach  for  coordinating  aggregations  of  TCLs  is  created.  The  developed  control  design  was  tested  and  validated  via  simulations  and  hardware-in-the-loop  (HIL)  experiments.  Also,  communication  architectures  enabling  cyber-physical  demonstrations  of  load  control  for  frequency  regulation  were  developed.In  this  dissertation,  the  state-of-the-art  device-driven  packetized  energy  management  (PEM)  aggregate  load  control  strategy,  which  coordinates  only  thermostatic loads  without  compressors,  is  improved  upon  to  create  a  new  device-driven  method  that  enables  coordination  and  control  of  all  classes  of  thermostatic  loads.  The  new  control  approach  when  compared  to  the  state-of-the-art  PEM,  significantly  improves  control  flexibility  and  signal  tracking  performance  with  the  load  aggregation.  It  is  demonstrated  with  simulation  and  HIL  experiments  that  the  newly  developed  device-driven  control  is  able  to  satisfactorily  (according  to  industry  standards)  provide  up  to  1  MW  capacity  of  frequency  regulation  balancing  service  using  about  a  thousand  residential  air  conditioners.  An  aggregate  model  of  the  new  device-driven  strategy  that  can  be  used  for  predictive  control  and  analyzing  system  dynamics  is  also  developed.There  exists  significant  efforts  to  decarbonize  by  replacing  fossil-fuel  dependent  systems  like  space  heating  with  electric  heat  pumps,  appliances  such  as  dryers  and  water  heaters,  with  electric  versions.  The  transition  to  electrified  homes  is  crucial  for  climate  goals  but  requires  precise  evaluation  methods  to  understand  energy,  economic,  and  environmental  impacts.  A  systematic  review  of  energy  modeling  approaches,  used  in  electrification  and  decarbonization  impact  assessments,  is  also  presented  in  this  dissertation.Overall,  this  dissertation  attempts  to  establish  credibility  for  aggregate  control  of  electric  loads  in  providing  power  system  balancing  services  and  harnessing  the  decarbonization  potential  of  load  electrification.  This  dissertation  identifies  and  overcomes  challenges  involving  electric  load  aggregations,  showing  they  can  indeed  provide  the  additional  flexibility  required  in  modern  power  systems. 
■590    ▼aSchool  code:  0127.
■650  4▼aEngineering
■650  4▼aEnergy
■650  4▼aElectrical  engineering
■650  4▼aEnvironmental  engineering
■653    ▼aThermostatically  controlled  loads
■653    ▼aVirtual  power  plants
■653    ▼aAir  conditioners
■653    ▼aPacketized  energy  management
■653    ▼aFrequency  regulation
■690    ▼a0544
■690    ▼a0791
■690    ▼a0537
■690    ▼a0775
■71020▼aUniversity  of  Michigan▼bElectrical  and  Computer  Engineering.
■7730  ▼tDissertations  Abstracts  International▼g86-11B.
■790    ▼a0127
■791    ▼aPh.D.
■792    ▼a2025
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17358101▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

미리보기

내보내기

chatGPT토론

Ai 추천 관련 도서


    신착도서 더보기
    최근 3년간 통계입니다.

    소장정보

    • 예약
    • 소재불명신고
    • 나의폴더
    • 우선정리요청
    • 비도서대출신청
    • 야간 도서대출신청
    소장자료
    등록번호 청구기호 소장처 대출가능여부 대출정보
    TF15793 전자도서 대출가능 마이폴더 부재도서신고 비도서대출신청 야간 도서대출신청

    * 대출중인 자료에 한하여 예약이 가능합니다. 예약을 원하시면 예약버튼을 클릭하십시오.

    해당 도서를 다른 이용자가 함께 대출한 도서

    관련 인기도서

    로그인 후 이용 가능합니다.