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dc.contributor.advisorPang, Chengzong
dc.contributor.authorMohsenzadeh, Amin
dc.date.accessioned2019-03-18T15:56:02Z
dc.date.available2019-03-18T15:56:02Z
dc.date.issued2018-12
dc.identifier.otherd18048
dc.identifier.urihttp://hdl.handle.net/10057/15909
dc.descriptionThesis (Ph.D.)-- Wichita State University, College of Engineering, Dept. of Electrical Engineering & Computer Science
dc.description.abstractEnergy 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.
dc.format.extentxiv, 93 pages
dc.language.isoen_US
dc.publisherWichita State University
dc.rightsCopyright 2018 by Amin Mohsenzadeh All Rights Reserved
dc.subject.lcshElectronic dissertations
dc.titleOptimal behavior of demand response aggregators in power system management
dc.typeDissertation


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  • CE Theses and Dissertations
    Doctoral and Master's theses authored by the College of Engineering graduate students
  • Dissertations
    This collection includes Ph.D. dissertations completed at the Wichita State University Graduate School (Fall 2005 --)
  • EECS Theses and Dissertations
    Collection of Master's theses and Ph.D. dissertations completed at the Dept. of Electrical Engineering and Computer Science

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