Theses and Dissertations
Date of Award
8-2021
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Electrical Engineering
First Advisor
Dr. Jaime Ramos Salas
Second Advisor
Dr. Alexander Domijan
Third Advisor
Dr. Maysam Pournik
Abstract
Demand Response Programs have the potential to incentivize users to modify their electricity consumption pattern based on their given price and any bonuses that come along with it. Through the effective utilization of renewable sources and energy storage devices, household electricity bills can be reduced since the consumption of electricity during high price periods can be replaced by either renewable resources or electricity from energy storage devices. The balancing of energy demand and generation using the latest management technologies is considered as an immediate requirement to improve the operation of electrical distribution networks and peak demand management. Many Independent system operators have deployed several terms of demand response programs. Electric Reliability Council of Texas (ERCOT) is responsible for the electric market in most of Texas. In the past ERCOT's demand response programs have provided promising outcomes in an economic and reliability perspective. Currently, demand-side resources, mainly on the industrial load class, can participate in the ancillary service market. The purpose of this thesis is to explore the methods in which current demand response techniques can be improved upon to further promote it and get it widely available to commercial and residential customers. The thesis will also look into methods to integrate renewable energy generation into these setting for further energy and cost savings.
Recommended Citation
Habib, Monsur, "Improving Demand Response Strategies Utilizing Data Collected by Industrial Assessments to Reduce Cost for Users" (2021). Theses and Dissertations. 883.
https://scholarworks.utrgv.edu/etd/883
Comments
Copyright 2021 Monsur Habib. All Rights Reserved.
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