Date of Award:
12-2020
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Computer Science
Committee Chair(s)
Nicholas Flann
Committee
Nicholas Flann
Committee
Regan Zane
Committee
John Edwards
Abstract
Using renewable energy can save money and keep the environment cleaner. Installing a solar PV system is a one-time cost but it can generate energy for a lifetime. Solar PV does not generate carbon emissions while producing power. This thesis evaluates the value of being able to make accurate predictions in the use of solar energy. It uses predicted solar power and load for a system and a battery to store the energy for future use and calculates the operating cost or profit in several designed conditions. Various factors like a different place, tuning the capacity of sources, changing buy/sell schedule are considered to verify the results. Combining real battery cost makes this work more reliable from the existing system. The prediction error also considered while testing the results.
Checksum
8b769298188fed35e2f4ded7bf1b8d6e
Recommended Citation
Saha, Shaju, "Micro Grid Control Optimization with Load and Solar Prediction" (2020). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 7998.
https://digitalcommons.usu.edu/etd/7998
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