| Group |
2025-04 |
Status |
open |
| Title |
Unit Commitment Optimization for Power Distribution Systems |
| Supervisor |
M. Soleymani |
| Description |
While Location Allocation deals with the placement of the plants (power sources) given the location, cost of installation and operation and other factors about the plants, Unit Commitment (UC) is an effort to match the demand from a user (a factory, a set of residential units, …) with a group of plants developed at certain locations with a fixed or partially fixed set of connections and the problem is how to match a service demand with a plant such that overall the cost is lowest given the constraints of the network.
Tasks: The students need to perform the following activities:
a. Studying of the Unit Commitment problem and performing thorough survey of different algorithms used for performing UC. The solution selected should be compared with the alternative (s) and its use be justified.
b. Selecting a set of technologies (algorithms) to be used and justify their choice.
c. Deciding on the hardware and software required so that the prototype while being simple be representative of a system with a reasonable practical dimension. The prototype should also be scalable. The route from prototyping to full scale implementation needs to be addressed. The output of this activity will be a brief report and a parts list with cost information.
d. A design consisting of the procedure for programming of node processor and the central unit hosting the UC algorithms, e.g., digital twin, ML, DL, etc. The design should also have a test plan.
e. Implementation of the above system.
f. Test and validation and fine tuning.
g. Final report.
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| Student Requirement |
Student Requirements:
Five students with expertise in Computer programming, Signal Processing and Communications, Design of Digital Systems. Presence of one student who has taken electric power engineering courses is a plus but nor required.
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| Tools |
Required Resources: PC (Laptop or Desktop), microcontrollers (Arduino or Raspberry Pi), Sensors, Open Source Software, Access to Cloud. |
| Number of Students |
5 |
| Students |
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| Comments: |
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