| Description |
Given the density of the user population and an estimate of their energy consumption as well as a geographic map of the area covered by the power distribution including the distance of the potential plant locations to the clusters of users, the cost of power generation by each plant, the cost of installation and operation of the plant find the configuration that produces the most power for a given cost or vice versa.
The objective of the project is to develop a prototype mimicking an actual physical configuration. The plants will be modeled using simple node processors that are implemented using a microcontroller such as Arduino or Raspberry Pi. Each node (microcontroller) having the local data consisting of the a priori known parameters of the plant such as type (fossil fuel, hydro, nuclear, solar, wind), its rating, efficiency, distance from points of consumption that are also modeled by microprocessors. The microcontrollers in addition to afore mentioned stored parameters may also have data collected through sensors. These may be the temperature, the health of the plant, etc.
The readings of sensor will be processed by node processors and transmitted to a central processor that uses the data from different plots with the information obtained through the Internet to find the best actions to be taken at the plant level and transmits it to them.
Tasks: The students need to perform the following activities:
a. Studying of the location problem and performing thorough survey of different algorithms used for optimizing the allocation location problem. 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 optimization 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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