Distributed Communication and Control Frameworks for Smart Grids using the Internet of Things and Blockchain Technology

dc.contributor.advisorFarag, Hany E. Z.
dc.contributor.authorSaxena, Shivam Kumar
dc.date.accessioned2021-11-15T15:22:01Z
dc.date.available2021-11-15T15:22:01Z
dc.date.copyright2021-06
dc.date.issued2021-11-15
dc.date.updated2021-11-15T15:22:00Z
dc.degree.disciplineElectrical Engineering & Computer Science
dc.degree.levelDoctoral
dc.degree.namePhD - Doctor of Philosophy
dc.description.abstractSmart distribution grids (SDGs) are power systems that harness distributed energy resources (DERs) to increase their operational efficiency and sustainability. However, the uncontrolled operation of DERs lead to operational challenges, resulting in transformer overload and voltage violations. Distribution system operators (DSOs) are responsible for preventing such issues, however, DERs are typically owned by agents such as homeowners and private enterprises, whose motivations revolve around financial incentives and maximizing operational convenience, which do not always align with the DSO's objectives. Thus, new communication and control frameworks are required to coordinate the actions of agents and DSOs to deliver mutually beneficial results. The architectures of these frameworks should be distributed to avoid unilateral authority, and auditable to alleviate any trust issues between participants. Thus, this thesis develops distributed communication and control frameworks for SDGs that are built upon modern communication technologies such as the Internet of Things (IoT), and blockchains, both of which provide architectures that are distributed. The proposed control strategies of this thesis are inspired from principles related to transactive energy systems (TES), where distributed control techniques are combined with economically oriented decision making to improve overall energy efficiency. Accordingly, this thesis proposes three new frameworks, and validates their efficacy using both simulated and real-world experiments at a microgrid in Vaughan, Ontario. First, a fully distributed communication framework (DCF) is proposed for agent messaging, which is built upon the IoT-based framework known as Data Distribution Service (DDS). The DCF provides 1000 messages/second at 36 millisecond latency, and also enhances the efficacy of agents in resolving voltage violations in real-time at the microgrid. Second, a blockchain-based TES is proposed to enable agents to bid for voltage regulation services, where smart contracts enable multiple violations to be resolved in parallel, leading to less bidding cycles. Third, a blockchain-based residential energy trading system (RETS) is proposed , which enables residential communities and DSOs to participate in peer to peer energy trading and demand response. The RETS reduces the peak demand of the community by 48 kW (62%), which leads to an average savings of $1.02 M for the DSO by avoiding transformer upgrades.
dc.identifier.urihttp://hdl.handle.net/10315/38686
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectComputer engineering
dc.subject.keywordsTransactive energy
dc.subject.keywordsDistributed energy resources
dc.subject.keywordsBlockchain
dc.subject.keywordsInternet of things
dc.subject.keywordsIoT
dc.subject.keywordsDistributed ledger technology
dc.subject.keywordsData distribution service
dc.subject.keywordsSmart grids
dc.subject.keywordsMicrogrids
dc.subject.keywordsPower systems
dc.subject.keywordsPeer to peer
dc.subject.keywordsEnergy trading
dc.subject.keywordsRenewable energy
dc.titleDistributed Communication and Control Frameworks for Smart Grids using the Internet of Things and Blockchain Technology
dc.typeElectronic Thesis or Dissertation

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Saxena_Shivam_K_2021_PhD.pdf
Size:
5.21 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
license.txt
Size:
1.87 KB
Format:
Plain Text
Description:
No Thumbnail Available
Name:
YorkU_ETDlicense.txt
Size:
3.39 KB
Format:
Plain Text
Description: