Demand Side Management in Future Smart Grid: Control, Communication, and Security
Summary
In smart grid, demand side management (DSM) has recently attracted significant attention due to its potential capability of reducing the peak demand, increasing the system reliability, reducing operation cost and controlling power emission. Hence, DSM has been expected to play a crucial role in transforming today’s aging power grid to a more reliable and efficient smart grid. To implement DSM, a two-way communications network is required to connect each consumer to the utility. In this project, we focus on the security, communication and control aspects of DSM running on a wireless communications network.
Supervisor(s)
Professor Yonghui Li, Professor Branka Vucetic
Research Location
Electrical and Information Engineering
Program Type
Masters/PHD
Synopsis
We will design DSM algorithms which will encourage users to shift their power consumption from peak to off-peak hours. We will also analyze the impact of communication errors on our proposed algorithms, by using tools from optimization theory. Finally, we will look into algorithms which can guarantee the performance of DSM when there are malicious users in the network.
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Keywords
demand side management, smart grid communications, Communications, Security, game theory
Opportunity ID
The opportunity ID for this research opportunity is: 1747
Other opportunities with Professor Yonghui Li
- Dynamic spectrum access for wireless multi-hop cognitive radio networks
- Cooperative communications for future wireless networks
- Distributed network channel coding for wireless sensor networks
- Game theory based transmission strategies for cognitive radio
- Signal Processing and Disease Diagnosis in Traditional Chinese Medicine (TCM)
- Millimeter Wave Gigabit Wireless Network Design for 5th Generation (5G) Communications
- Physical Layer Security
- Discovering DNA sequences based on error control codes
- Large-scale Machine-to-Machine Communications Networks
- Physical-layer Rateless Codes for Wireless Channels
- Interference Cancellation in Co-working WLANs
- Iterative channel estimation for high mobility MIMO-OFDM systems
- Test
- Design of Novel Channel Coding Techniques for Short Packet Transmission in Massive Internet of Things
- Channel Code Design in Short Block Length Regime: Capacity Analysis and Code Design
Other opportunities with Professor Branka Vucetic
- Interference Cancellation in Co-working WLANs
- Precoded multiuser MIMO and packet scheduling
- Cooperative transmission in MIMO relay broadcast channels
- Iterative channel estimation for high mobility MIMO-OFDM systems
- Dynamic spectrum access for wireless multi-hop cognitive radio networks
- Cooperative communications for future wireless networks
- Distributed network channel coding for wireless sensor networks
- Game theory based transmission strategies for cognitive radio
- Signal Processing and Disease Diagnosis in Traditional Chinese Medicine (TCM)
- Millimeter Wave Gigabit Wireless Network Design for 5th Generation (5G) Communications
- Physical Layer Security
- Discovering DNA sequences based on error control codes
- Large-scale Machine-to-Machine Communications Networks
- Physical-layer Rateless Codes for Wireless Channels
- Design of Network Coding Schemes for Next Generation of Wireless Cellular Systems
- Non-orthogonal multiple access for massive Internet of Things
- Design of Novel Channel Coding Techniques for Short Packet Transmission in Massive Internet of Things
- Channel Code Design in Short Block Length Regime: Capacity Analysis and Code Design