The ACPS will offer high-reliability and real-time monitoring of the smart-grid infrastructure and the secure CPS will provide secure communication and authentication of the smart-grid devices and components. This results in secure and improved power transmission that can reduce infrastructure maintenance cost for the utility companies and also reduced power-theft attacks from malicious sources. Successful outcome of this project will also reduce cost of power for the end user and benefit the society with secured higher quality of life.
Dynamic modeling is one of the most important tools for the power system operation and planning purposes. In order to study the behavior of the system, which is subjected to disturbances, a valid knowledge of parameters of system components is essentially required. The objective of this project is to propose an applicable algorithm to identify the parameters of the power system componentsâ models. For the identification purpose, the actual power systemsâ subsections data collected by phasor measurement units (PMUs) are employed.
During the proposed internships, smart-grid integrated adaptive corrosion protection system (ACPS) will be developed as a stand-alone unit to provide optimum corrosion protection along with the nanostructured local data storage and off-grid powering. This will allow the continuous monitoring of the corrosion status of the metal infrastructures (e.g. transmission towers) along with the power-grid monitoring data. The proposed system can be directly monitored from the centralized control-room.
This research is aimed at the development of new modeling and simulation algorithms of interconnected AC and DC supergrids for power flow and transient stability analyses. The efforts will be focused on the following technical areas:
Smart grid aims at improving the power grid performance, security and reliability through monitoring, controlling and protecting the grid dynamically. As communication infrastructure and technologies provide two-way data communication between grid endpoints, they are the key enablers for smart grid realization. WiMAX and 802.15.4g is among the dominant considered communication technologies for smart grid implementation.
Smart grid (SG) aims at modernizing the current power grid which can better manage the electricity through the grid and react to the system faults quicker. To realize this goal, many sensors are attached to different points of the power grid infrastructure. These sensors collect data and can be used for controlling, protecting, and monitoring the status of the grid by receiving comands from the utility control center. Hence, a two-way communication infrastructure seen to be required for smart grid realization.
There are many international efforts to modernizing the current aging power grid towards an efficient grid known as “smart grid” (SG). To implement SG, many sensors are attached to different points of the power grid infrastructure. These sensors collect data and can be used for controlling, protecting, and monitoring the status of the grid by receiving comands from the utility control center. Hence, communication is a keypoint in realizing smart grid. With the recent advances in wireless technologies, there is a preference to use new standards for the communication in SG.
This project studies network capacity and throughput for newly emerging MSGN infrastructure including mesh planning strategies and how the number of hops and end-devices affects the overall throughput. The work includes developing the analytical framework, and confirmation through simulation and physical experiment, of proof-of-concepts in the smart utility lab IPv6 RF mesh test bed. During the course of this project, the intern will collaborate with SUL and BC Hydro engineers and staff, as well as industry partners Cisco/Itron.
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