Smart Grid Thesis Phd With WriteMyEssayOnline, the best service to buy essays online from, you will reach Smart Grid Thesis Phd a brand-new level of academic performance! We now accept. $ We now accept. Secure payments #; ; Powerpoints Every PowerPoint slide includes Dec 31, · UoM administered thesis: Phd. Authors: Mustafa Mustafa; Abstract. Smart Grid (SG) is an electrical grid enhanced with information and communication technology capabilities, so it can support two-way electricity and communication flows among various entities in the grid. The aim of SG is to make the electricity industry operate more efficiently Sep 21, · The introduction of leading-edge elements to the Smart Grid will have to be pre- ceded by rigorous testing processes if a healthy rate of innov ation is
(PDF) Examples of research on smart grid solutions | Carl Wallnerström - blogger.com
UoM administered thesis : Phd. Home Research Research Explorer Researchers Faculties and Schools Publications Projects Activities Media coverage and contribution Prizes Impact Student Theses Datasets About the Research Explorer Media enquiries Commercial enquiries Staff login. Authors: Mustafa Mustafa. Abstract Smart Grid SG is an electrical grid enhanced with information and communication technology capabilities, so it can support two-way electricity smart grid thesis phd communication flows among various entities in the grid, smart grid thesis phd.
The aim of SG is to make the electricity industry operate more efficiently and to provide electricity in a more secure, reliable and sustainable manner. Automated Meter Reading AMR and Smart Electric Vehicle SEV charging are two SG applications tipped to play a smart grid thesis phd role in achieving this aim, smart grid thesis phd.
The AMR application allows different SG entities to collect users' fine-grained metering data measured by users' Smart Meters SMs. The SEV charging application allows EVs' charging parameters to be changed depending on the grid's state in return for incentives for the EV owners.
However, both applications impose risks on users' privacy. Entities having access to users' fine-grained metering data may use such data to infer individual users' personal habits.
Entities may use such information to learn users' whereabouts, thus breach their privacy. This thesis proposes secure and user privacy-preserving protocols to support AMR and SEV charging in an efficient, scalable and cost-effective manner.
First, it investigates both applications. For AMR, 1 it specifies an extensive set of functional requirements taking into account the way liberalised electricity markets work and the interests of smart grid thesis phd SG entities, 2 it performs a comprehensive threat analysis, based on which, 3 it specifies security and privacy requirements, and 4 it proposes to divide users' data into two types: operational data used for grid management and accountable data used for billing.
For SEV charging, 1 it specifies two modes of charging: price-driven mode and price-control-driven mode, and 2 it analyses two use-cases: price-driven roaming SEV charging at home location and price-control-driven roaming SEV charging at home location, by performing threat analysis and specifying sets of functional, security and privacy requirements for each of the two cases.
Second, it proposes a novel Decentralized, Efficient, Privacy-preserving and Selective Aggregation DEP2SA protocol to allow SG entities to collect users' fine-grained operational metering data while preserving users' privacy.
DEP2SA uses the homomorphic Paillier cryptosystem to ensure the confidentiality of the metering data during their transit and data aggregation process. To preserve users' privacy with minimum performance penalty, users' metering data are classified and aggregated accordingly by their respective local gateways based on the users' locations and their contracted suppliers.
In this way, authorised SG entities can only receive the aggregated data of users they have contracts with, smart grid thesis phd. DEP2SA has been analysed in terms of security, computational and communication overheads, and the results show that it is more secure, efficient and scalable as compared with related work.
Third, it proposes a novel suite of five protocols to allow 1 suppliers to collect users accountable metering data, and 2 users i to access, manage and control their own metering data and ii to switch between electricity tariffs and suppliers, smart grid thesis phd, in an efficient and scalable manner. The main ideas are: i each SM to have a register, named accounting register, dedicated only for storing the user's accountable data, ii this register is updated by design at a low frequency, iii the user's supplier has unlimited access to this register, and iv the user cancustomise how often this register is updated with new data.
The suite has been analysed in terms of security, computational and communication overheads. Fourth, it proposes a novel protocol, smart grid thesis phd, known as Roaming Electric Vehicle Charging and Billing, an Anonymous Multi-User REVCBAMU protocol, to support the priced-driven roaming SEV charging at home location.
During a charging session, a roaming EV user uses a pseudonym of the EV known only to the user's contracted supplier which is anonymously signed by the user's private key. This protocol protects the user's smart grid thesis phd privacy from other suppliers as well as the user's privacy of location from its own supplier. Further, it allows the user's contracted supplier to authenticate the EV and the user.
Using two-factor authentication approach a multi-user EV charging is supported and different legitimate EV users e. With each charging session, the EV uses a different pseudonym which prevents adversaries from linking the different charging sessions of the same EV. On an application level, REVCBAMU supports fair user billing, i. The protocol has been analysed in terms of security and computational overheads. Research areas Roaming Electric Smart grid thesis phd, Homomorphic encryption, Data Leakage, Selective Data Aggregation, Smart Electric Vehicle Charging, Advanced Metering Infrastructure, Automated Meter Reading, Smart Grid, Data Privacy, smart grid thesis phd, Security, Electric Vehicle.
Activities Smart Grid Security and Privacy, smart grid thesis phd. Privacy in Smart Metering Systems. Close menu Home Research Research Explorer Researchers Faculties and Schools Publications Projects Activities Media coverage and contribution Prizes Impact Student Theses Datasets. The University of Manchester. Ning Zhang Supervisor Andrew Forsyth Supervisor.
PhD Thesis Defense : Smart grid-aware radio engineering in 5G mobile networks
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