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Agent Based System for Improved Control and Monitoring of a Solar Driven DC Microgrid
KTH, School of Electrical Engineering and Computer Science (EECS), Electronics.
KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits.
2018 (English)In: 2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018, Institute of Electrical and Electronics Engineers Inc. , 2018, p. 890-894Conference paper, Published paper (Refereed)
Abstract [en]

Control and monitoring processes in the electric field are fundamental aspects in smart grid. Different attributes, systems and mechanisms are required in handling activities from transmission, distribution and consumer side of the electrical network based on advanced technologies. In Tanzania, there still exists manual operations on distribution side and very little on the transmission side. Agent based distributed system has been seen to work successfully which involves the use of artificial intelligence and autonomous actions during the operations and controlling activities. Therefore, in this manner, the generated model based on REPAST simulation tool for solar driven DC microgrid will be achieved to show features of control and monitoring the grid including load shedding technique and demand responses based on pricing. Furthermore, the design of the prototype based on the stated features will be implemented. The advantages and impact of the demonstration can be deployed and used in any community for the application of any renewable energy systems.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2018. p. 890-894
Keywords [en]
Agent based systems, and smart grid, demand response, microgrid, Autonomous agents, Electric fields, Electric load shedding, Electric power transmission networks, Renewable energy resources, Agent-based distributed systems, Agent-based systems, Control and monitoring, Controlling activity, Micro grid, Renewable energy systems, Smart grid, Smart power grids
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-247076DOI: 10.1109/PowerAfrica.2018.8521061Scopus ID: 2-s2.0-85057852681ISBN: 9781538641637 (print)OAI: oai:DiVA.org:kth-247076DiVA, id: diva2:1329970
Conference
2018 IEEE Power and Energy Society and Industrial Applications Society PowerAfrica, PowerAfrica 2018, 26 June 2018 through 29 June 2018
Note

QC 20190625

Available from: 2019-06-25 Created: 2019-06-25 Last updated: 2019-06-25Bibliographically approved

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Rwegasira, DianaTenhunen, Hannu

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