Geri Dön

A three-layered system level modeling approach to electric transportation

Başlık çevirisi mevcut değil.

  1. Tez No: 401232
  2. Yazar: İSLAM ŞAFAK BAYRAM
  3. Danışmanlar: DR. MICHAEL DEVETSIKIOTIS
  4. Tez Türü: Doktora
  5. Konular: Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol, Computer Engineering and Computer Science and Control
  6. Anahtar Kelimeler: Belirtilmemiş.
  7. Yıl: 2014
  8. Dil: İngilizce
  9. Üniversite: North Carolina State University
  10. Enstitü: Yurtdışı Enstitü
  11. Ana Bilim Dalı: Belirtilmemiş.
  12. Bilim Dalı: Belirtilmemiş.
  13. Sayfa Sayısı: 158

Özet

Özet yok.

Özet (Çeviri)

Transportation electrification offers solutions to an array of current societal issues, ranging from unstable oil prices to environmental concerns. The promised cost-savings prompt a growing interest to push Electric Vehicles (EVs) into the market. On the other hand, the all-electricrange of current EVs is relatively short compared to gas powered competitors, while the need for longer travel ranges requires development of a network of public fast charging facilities. Hence the envisioned change demands synchronized deployment of new vehicles and infrastructure on a massive scale. However, the required upgrades are very costly and straining the grid beyond its limits could easily lead to cascading failures and outages. In this thesis we propose a three layered system level modeling approach to electric transportation. First layer (Design) includes the stochastic modeling of a single charging station architecture. Proposed charging station architecture ensures grid reliability at all times while sacrificing to reject small amount of EVs defined as the Quality-of-Service (QoS). First half of this layer explores the system dynamics and solves the optimal energy storage sizing problem respect to QoS targets. Second part of the Design layer examines how the charging station performance is affected both by the energy storage technology used, and the employed charging strategy. Second Layer (Control) considers control and coordination of customer chargings in a network of fast charging stations. Acknowledging the fact that the non-uniform spatial distribution of EVs creates uneven power demand at each charging facility, the goals of the proposed control mechanism are threefold: (i) avoid straining power grid resources, (ii) increase the percentage of served customers with the same amount of grid resources and consequently maximize the revenue of charging facilities operator, and (iii) provide charging service to customers with a certain level of QoS. We further divide Control layer into two; control for (1) cooperative EV fleets and (2) selfish drivers. Third Layer (Communications) binds the customers to the charging infrastructure. We explore the communication requirements of EV charging requirements. In order to quantify the communications system performance, we propose a Markov-Modulated Poisson Process based model. Further, we show that as the EV population increases, the network operators will need better communications technology to handle additional demand. We further extend our modeling approach to resource provisioning in large scale public charging stations. Acknowledging the fact that the current generation capacity could be a bottleneck during the busy hours, we present a capacity planning framework by exploiting the statistical behavior of customers. We modeled the customer demand at each charging slot with an On-Off process. Then, we introduced the concept of“effective power”that is strictly less than the peak power demand during On periods. This notion significantly reduced the required power resources when compared to the capacity planning approach based on peak demand.

Benzer Tezler

  1. Gıda ürünlerinin şehir-içi dağıtımının optimizasyonu için sürdürülebilir bir yaklaşım

    A sustainable approach for the optimization of the urban grocery distribution

    SİBEL SATICI

    Yüksek Lisans

    Türkçe

    Türkçe

    2019

    Endüstri ve Endüstri Mühendisliğiİstanbul Teknik Üniversitesi

    Endüstri Mühendisliği Ana Bilim Dalı

    DOÇ. DR. SEDA YANIK ÖZBAY

  2. Yer radarı ile karstik boşluk araştırmaları

    Karstic cavity investigations with ground penetrating radar

    MEHMET TUZER

    Yüksek Lisans

    Türkçe

    Türkçe

    2015

    Jeofizik Mühendisliğiİstanbul Teknik Üniversitesi

    Katı Yer Bilimleri Ana Bilim Dalı

    DOÇ. DR. ZİYADİN ÇAKIR

  3. Developing data-driven methods using machine learning in operations and finance

    Üretim yönetimi ve finansta yapay öğrenme kullanan veri tabanlı yöntemler

    DAVOOD PIRAYESH NEGHAB

    Doktora

    İngilizce

    İngilizce

    2021

    Endüstri ve Endüstri MühendisliğiKoç Üniversitesi

    Endüstri Mühendisliği ve Operasyon Yönetimi

    PROF. DR. AHMET FİKRİ KARAESMEN

  4. Kesiti kademeli değişen plakların titreşimi

    Vibration of plates with stepped thickness

    GÖKAY YAY

    Yüksek Lisans

    Türkçe

    Türkçe

    1994

    Makine Mühendisliğiİstanbul Teknik Üniversitesi

    DOÇ.DR. ALAEDDİN ARPACI

  5. 15 katlı betonarme bir binanın deprem performansının zaman tanım alanında doğrusal elastik olmayan hesap yöntemi ile belirlenmesi

    Seismic performance evaulation of 15 storey reinforced concrete building by non-linear time history analysis

    PINAR ÇOBAN

    Yüksek Lisans

    Türkçe

    Türkçe

    2015

    İnşaat Mühendisliğiİstanbul Teknik Üniversitesi

    Yapı Mühendisliği Ana Bilim Dalı

    DOÇ. DR. ABDULLAH NECMETTİN GÜNDÜZ