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Self-organizing Coordination of Multi-Agent Microgrid Networks

Abstract This work introduces self-organizing techniques to reduce the complexity and burden of coordinating distributed energy resources (DERs) and microgrids that are rapidly increasing in scale globally. Technical and financial evaluations completed for power customers and for utilities identify how disruptions are occurring in conventional energy business models. Analyses completed for Chicago, Seattle, and Phoenix demonstrate site-specific and generalizable findings. Results indicate that net metering had a significant effect on the optimal amount of solar photovoltaics (PV) for households to install and how utilities could recover lost revenue through increasing energy rates or monthly fees. System-wide ramp rate requirements also increased as... (more)
Created Date 2019
Contributor Janko, Samantha Ariel (Author) / Johnson, Nathan (Advisor) / Zhang, Wenlong (Committee member) / Herche, Wesley (Committee member) / Arizona State University (Publisher)
Subject Engineering / Energy / Systems science / Microgrid networks / Microgrids / Multi-agent / Power trading / Self-organizing / Transactive energy
Type Doctoral Dissertation
Extent 221 pages
Language English
Note Doctoral Dissertation Systems Engineering 2019
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis