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Wichita State University

Optimal behavior of demand response aggregators in power system management

Abstract

dc:description.abstract

Energy plays a vital role in our life. In recent decades, managing demand and supply of energy and maintaining the balance has become more complicated due to some technical, financial and environmental factors like growing electricity demand, old infrastructure, volatile energy costs, and intermittent resources. Therefore, the energy dilemma must be tackled with comprehensive and practical solutions. Moving toward demand-side management (DSM) is one of the most recent approaches, which can help electrical utilities and governors to achieve their goals. This transition has been accelerated by inventing new devices, deregulating electricity markets, and empowering end-users to be aware of electricity price via the smart meters. The smart home concept is one of the critical components to implement DSM in power distribution networks, which includes different types of DERs such as PV, ESS, Electric Vehicle (EV), and controllable appliances. In this dissertation, a novel Smart Home Management System (SHMS) is presented to deploy smart control strategies to maximize the beneficial effects of DERs and household appliances. Besides, a mathematical model of residential energy management considering electricity bill, transformer asset management, and energy loss is introduced. This dissertation also develops an optimization approach of DR aggregator to alleviate transmission congestion in the presence of DR and DERs. In the third part, the impact of DR on reliability improvement and the efficiency of microgrids is studied.

Degree

thesis:*
Grantor dc:publisher
Wichita State University
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mohsenzadeh, Amin
Advisor dc:contributor.advisor
  • Pang, Chengzong

Rights

dc:rights
Statement dc:rights
  • Copyright 2018 by Amin Mohsenzadeh All Rights Reserved
Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Dc Identifier Other
d18048

Chain of custody

source
Harvested from
Wichita State University
Base URL
soar.wichita.edu/oai/request
Last updated
2026-08-21
Source record
OAI-PMH GetRecord
related terms
citation

Mohsenzadeh, Amin. Optimal behavior of demand response aggregators in power system management. Wichita State University, 2018. http://hdl.handle.net/10057/15909