Show simple item record

dc.contributor.advisorBai, Li
dc.creatorRen, Qiangguo
dc.date.accessioned2020-11-05T15:01:43Z
dc.date.available2020-11-05T15:01:43Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/20.500.12613/3465
dc.description.abstractPower networks are one of the most complex systems in the field of electrical and computer engineering. In power networks, power supply-demand balancing can be achieved in a static or a dynamic model. In a static model, the power network cannot be easily adapted to intentional or unintentional network topology changes because the network design is predetermined, whereas in a dynamic model, the power network can be dynamically constructed and reconfigured at run-time, which leads to a more nimble, flexible, and stable system. In this dissertation, a novel Market-based Multi-agent System (MMS) is proposed to solve supply-demand balancing and power restoration problems in a dynamic model. The power network is modeled as a market environment consisting of Belief-Desire-Intention (BDI) agents representing three characters: 1) consumer, 2) supplier, and 3) middleman. The BDI agents are able to negotiate power supply and demand of the power network, with consumers exploring the market and exchanging power information with neighboring middlemen and suppliers. So long as all consumers and suppliers establish supply-demand relationships represented in tree data structures, a qualified minimal access structure is found as the lower bound of the system reliability. When contingencies occur, the agents can quickly respond and restore loads guided by the relationships using minimum computational resource. Based on case studies and simulation results, the proposed approach delivers more effective performance of contingencies response and better computation time efficiency as the scale of the power network expands. The proposed MMS shows promises for solving various real-world power supply-demand and restoration problems, and serves as a solid foundation for future power networks refinement and improvement.
dc.format.extent172 pages
dc.language.isoeng
dc.publisherTemple University. Libraries
dc.relation.ispartofTheses and Dissertations
dc.rightsIN COPYRIGHT- This Rights Statement can be used for an Item that is in copyright. Using this statement implies that the organization making this Item available has determined that the Item is in copyright and either is the rights-holder, has obtained permission from the rights-holder(s) to make their Work(s) available, or makes the Item available under an exception or limitation to copyright (including Fair Use) that entitles it to make the Item available.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectElectrical Engineering
dc.subjectMulti-agent System
dc.subjectPower Network
dc.subjectResilient Control
dc.subjectSupply-demand Balance
dc.titleA Novel Market-based Multi-agent System for Power Balance and Restoration in Power Networks
dc.typeText
dc.type.genreThesis/Dissertation
dc.contributor.committeememberBiswas, Saroj K.
dc.contributor.committeememberJi, Bo
dc.contributor.committeememberRen, Fei
dc.description.departmentElectrical and Computer Engineering
dc.relation.doihttp://dx.doi.org/10.34944/dspace/3447
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.degreePh.D.
refterms.dateFOA2020-11-05T15:01:43Z


Files in this item

Thumbnail
Name:
TETDEDXRen-temple-0225E-13311.pdf
Size:
8.678Mb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record