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Distributed Control Approaches for Power Systems

dc.contributor.authorPourbabak, Hajir
dc.contributor.advisorSu, Wencong
dc.date.accessioned2019-11-04T20:19:54Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2019-11-04T20:19:54Z
dc.date.issued2019-12-14
dc.date.submitted2019-10-04
dc.identifier.urihttps://hdl.handle.net/2027.42/151932
dc.description.abstractThe energy industry is undergoing through a reconstruction from a monopolistic electricity market to a more open and transactive one. The next ­generation grid is a level playing field in terms of electricity transactions, where all customers have an equal opportunity. The emerging concepts of electricity prosumers are expected to have a significant impact on the retail electricity market. As a result, there is an urgent need to control the interactions among numerous consumers and pro­sumers. The existing control approaches can be divided into three categories, namely, centralized control, decentralized control, and distributed control. The majority of existing literature focuses on the centralized control. In most cases, the dedicated communication links are required to ex­change data between the central controller and the local agents. The centralized control approaches are suitable for relatively small­-scale systems without reconstructing the existing communication and control networks. However, as the number of consumers and prosumers are increasing to hun­dreds of thousands, there are some technical barriers on the centralized control-­based economic operations such as heavy computation burden and single point of failure. The decentralized control is an intermediate solution to address the above mentioned challenges. The overall objective is to maximize the benefits of local agents and there is no guarantee that the decisions made by each local agents can contribute to the global optimal decision of the entire system. The distributed control has the potential to solve the economic operation problems of multiple consumers and prosumers. Lo­cal agents can share information through two-­way communication links in order to find the global optimal decision. Application of distributed control methods in power system increase system’s scalability, alleviate monopoly and monopsony, improve the privacy and distribute computational load among various entities.en_US
dc.language.isoen_USen_US
dc.subjectPower systemsen_US
dc.subjectSmart gridsen_US
dc.subjectEnergy Interneten_US
dc.subjectDistributed control approachen_US
dc.subjectPower flowen_US
dc.subjectPower system optimizationen_US
dc.subjectOptimal power flowen_US
dc.subjectEconomic dispatchen_US
dc.subject.otherElectrical and Computer Engineeringen_US
dc.titleDistributed Control Approaches for Power Systemsen_US
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineCollege of Engineering & Computer Scienceen_US
dc.description.thesisdegreegrantorUniversity of Michigan-Dearbornen_US
dc.contributor.committeememberHong, Junho
dc.contributor.committeememberHu, Zhen
dc.contributor.committeememberRawashdeh, Samir
dc.identifier.uniqname9801 7614en_US
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/151932/1/Hajir Pourbabak Final Dissertation.pdf
dc.identifier.orcid0000-0002-1252-1546en_US
dc.description.filedescriptionDescription of Hajir Pourbabak Final Dissertation.pdf : Dissertation
dc.identifier.name-orcidPourbabak, Hajir; 0000-0002-1252-1546en_US
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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