Energy Management of a Multi-Source Power System

A Master of Science thesis in Engineering Systems Management by Omar Wasseem Salah entitled, “Energy Management of a Multi-Source Power System”, submitted in May 2018. Thesis advisor is Dr. Abdulrahim Shamayleh and thesis co-advisor is Dr. Shayok Mukhopadhyay. Soft and hard copy available.

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Salah, Omar Wasseem (author)
التنسيق: doctoralThesis
منشور في: 2018
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/11073/9328
الوسوم: إضافة وسم
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author Salah, Omar Wasseem
author_facet Salah, Omar Wasseem
author_role author
dc.contributor.none.fl_str_mv Shamayleh, Abdulrahim
Mukhopadhyay, Shayok
dc.creator.none.fl_str_mv Salah, Omar Wasseem
dc.date.none.fl_str_mv 2018-05-27T08:42:52Z
2018-05-27T08:42:52Z
2018-05
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2018.08
http://hdl.handle.net/11073/9328
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Batteries
photovoltaic cell
fuel cell
super capacitor
state-of-charge
scheduling
energy management
Transportation
Energy conservation
Drone aircraft
Autonomous vehicles
Electric power consumption
Mathematical models
dc.title.none.fl_str_mv Energy Management of a Multi-Source Power System
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Engineering Systems Management by Omar Wasseem Salah entitled, “Energy Management of a Multi-Source Power System”, submitted in May 2018. Thesis advisor is Dr. Abdulrahim Shamayleh and thesis co-advisor is Dr. Shayok Mukhopadhyay. Soft and hard copy available.
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oai_identifier_str oai:repository.aus.edu:11073/9328
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spelling Energy Management of a Multi-Source Power SystemSalah, Omar WasseemBatteriesphotovoltaic cellfuel cellsuper capacitorstate-of-chargeschedulingenergy managementTransportationEnergy conservationDrone aircraftAutonomous vehiclesElectric power consumptionMathematical modelsA Master of Science thesis in Engineering Systems Management by Omar Wasseem Salah entitled, “Energy Management of a Multi-Source Power System”, submitted in May 2018. Thesis advisor is Dr. Abdulrahim Shamayleh and thesis co-advisor is Dr. Shayok Mukhopadhyay. Soft and hard copy available.Many industries are heavily dependent on fossil fuels to carry out their daily operations. The transportation industry alone is responsible for consuming two thirds of the oil used around the world. As fossil fuel deposits deplete, the need for transportation via sustainable energy solutions such as electric vehicles and battery-powered drones is rising. Battery- operated drones are being targeted by the product delivery industry. However, the use of drones is limited due to constraints on their flight time and distance. This work proposes an energy management system consisting of multiple energy sources integrated into a drone, to optimize the switching between the sources, in an effort to increase the drone’s maximum flight time and distance. A mathematical model representing the energy sources in the drone is presented, taking into account the different constraints on the system, i.e. primarily the state of charge of the battery, and super capacitor. In addition to the model, a heuristic approach is developed and compared with the mathematical model. The results generated using both methods are analyzed and compared to a standard mode of the operation of a drone; demonstrating that the dynamic approach provides a superior switching sequence, while the heuristic approach provides the advantage of low computational time. Additionally, the switching sequence provided by the dynamic approach was able to meet the power demand of the drone for all simulations performed and showed that the average power consumption across all sources is minimized. However, switching sequences provided by the heuristic approach and standard mode of operation failed in some simulations. Both the dynamic approach and heuristic approach are also tested on a multi-energy source ground robot built at AUS. The results of the tests are compared to the standard mode of operation of the ground robot; validating that the average power consumption across all sources is minimized by both proposed approaches. Moreover, the concept of scheduling different components in a system to generate the optimal operating sequence, can be used in areas like electric vehicles, and smart homes, by altering the inputs and constraints.College of EngineeringDepartment of Industrial EngineeringMaster of Science in Engineering Systems Management (MSESM)Shamayleh, AbdulrahimMukhopadhyay, Shayok2018-05-27T08:42:52Z2018-05-27T08:42:52Z2018-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2018.08http://hdl.handle.net/11073/9328en_USoai:repository.aus.edu:11073/93282025-06-26T12:22:06Z
spellingShingle Energy Management of a Multi-Source Power System
Salah, Omar Wasseem
Batteries
photovoltaic cell
fuel cell
super capacitor
state-of-charge
scheduling
energy management
Transportation
Energy conservation
Drone aircraft
Autonomous vehicles
Electric power consumption
Mathematical models
status_str publishedVersion
title Energy Management of a Multi-Source Power System
title_full Energy Management of a Multi-Source Power System
title_fullStr Energy Management of a Multi-Source Power System
title_full_unstemmed Energy Management of a Multi-Source Power System
title_short Energy Management of a Multi-Source Power System
title_sort Energy Management of a Multi-Source Power System
topic Batteries
photovoltaic cell
fuel cell
super capacitor
state-of-charge
scheduling
energy management
Transportation
Energy conservation
Drone aircraft
Autonomous vehicles
Electric power consumption
Mathematical models
url http://hdl.handle.net/11073/9328