Graduation Semester and Year
2013
Language
English
Document Type
Thesis
Degree Name
Master of Science in Industrial Engineering
Department
Industrial and Manufacturing Systems Engineering
First Advisor
Jay M Rosenberger
Abstract
This research is aimed to develop an analytical model for a Residential Microgrid under a collaborative environment. In order to maximize profit, Collaborative Consumption (C.C) as a community-based social agreement has been developed in a model to capture consumer behavior, and modeling Residential Microgrids in such environment has been investigated in this research for the first time. This study will introduce a framework for Residential Microgrids using a unique method of demand response based on the particular characteristics of residential loads. Moreover, such a framework enables consumers to participate actively in the supply side of the electricity market. Indeed, consumers assign priority to their appliances based on the necessity of their services. Then the Microgrid informs consumers about their real time consumption and economic benefits associated with their participation in collaborative consumption. Accordingly consumers can evaluate their options and make better decisions. Based on acquired results, the study will show that the proposed model has successfully achieved desired objectives.
Disciplines
Engineering | Operations Research, Systems Engineering and Industrial Engineering
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Ahmadi, Majid, "Optimizing Load Control For A Residential Microgrid In A Collaborative Environment" (2013). Industrial, Manufacturing, and Systems Theses. 4.
https://mavmatrix.uta.edu/industrialmanusys_theses/4
Comments
Degree granted by The University of Texas at Arlington