Maximizing Energy Efficiency in Energy Management System using Optimization Algorithm in Microgrids

Simple item page
dc.contributor.authorShah, Sarthak Umeshkumar
dc.contributor.supervisorBaniasadi, Dr. Amirali
dc.date.accessioned2023-07-04T18:59:56Z
dc.date.available2023-07-04T18:59:56Z
dc.date.copyright2023en_US
dc.date.issued2023-07-04
dc.degree.departmentDepartment of Electrical and Computer Engineeringen_US
dc.degree.levelMaster of Engineering M.Eng.en_US
dc.description.abstractDue to technological advancements, population growth, and urbanization, the demand for electricity is increasing day by day. Meeting the global electricity demand is a challenge considering its socio-economic and environmental impacts. Energy Management Systems (EMS) are becoming a vital topic of discussion, as renewable energy sources such as solar, wind, hydro, and energy storage systems are being considered. EMS is becoming an essential component of a microgrid, as the system works when connected with the grid and also in islanded mode, connected with renewable sources. However, the increasing use of renewable energy resources is causing operational efficiency and reliability issues. Additionally, meeting demands during high energy consumption and reducing costs during high demand for electricity are challenging. Therefore, optimization techniques are being implemented to solve issues related to demand response and cost reduction. The proposed approach focuses on minimizing the total cost of energy consumption, taking into account demand, load control, energy storage systems, and PV systems using the novel algorithm Ant Colony Optimization. The results demonstrate that the Ant Colony Optimization algorithm is effective in reducing costs and can be used to address increasing demands and constraints related to energy management in microgrids. Future work may include fault detection, power quality improvement through optimization algorithms in the real-world grid model, and automating it to prevent losses, power outages, and asset failures.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/15200
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectMicrogrids, Optimization Algorithm, Energy management Systemen_US
dc.titleMaximizing Energy Efficiency in Energy Management System using Optimization Algorithm in Microgridsen_US
dc.typeprojecten_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Shah_SarthakUmeshkumar_MEng_2023.pdf
Size:
1.24 MB
Format:
Adobe Portable Document Format
Description:
MEng Project
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Graduate Projects (Electrical and Computer Engineering)
 
University of Victoria Libraries

We acknowledge and respect the Lək̓ʷəŋən (Songhees and Esquimalt) Peoples on whose territory the university stands, and the Lək̓ʷəŋən and W̱SÁNEĆ Peoples whose historical relationships with the land continue to this day.