Degree Type

Thesis

Date of Award

2012

Degree Name

Master of Science

Department

Electrical and Computer Engineering

First Advisor

Dionysios C. Aliprantis

Second Advisor

Leigh S. Tesfatsion

Abstract

This thesis sets forth a novel intelligent residential air-conditioning (A/C) system controller that provides optimal thermal comfort and electricity cost trade-offs for a household resident based on four key aspects, namely (i) a resident's behavioral preferences, (ii) the structural attributes of the house and the A/C system, (iii) a retail price signal, and (iv) the environmental conditions. It also describes a computational platform that tests the effects of the aggregate intelligent A/C load on the bulk power system. An interesting feedback loop is established between the wholesale power market and the distribution system in that the wholesale energy prices affect the aggregate intelligent A/C load that in turn affects the wholesale energy prices.

Copyright Owner

Auswin George Thomas

Language

en

File Format

application/pdf

File Size

66 pages

Included in

Engineering Commons

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