A Novel Energy Storage Allocation Planning Method for Microgrid

dc.contributor.advisorDavid Yu
dc.contributor.committeememberDavid Yu
dc.contributor.committeememberQiang Fu
dc.contributor.committeememberChiu Tai Law
dc.creatorChen, Bin
dc.date.accessioned2025-01-16T17:59:29Z
dc.date.available2025-01-16T17:59:29Z
dc.date.issued2016-05-01
dc.description.abstractThis paper proposes a novel energy storage system planning method with real time control. Sensitivity analysis is used to linearize the real power change in each certain generator brought by wind and ESS power change in system. Particle Swarm Optimization (PSO) is modified to include the real power change percentage as a constraint, and used to determine optimum ESS size and location. After extensive tests, it shows that this method can determine the optimum sizes and locations for ESS which can effectively keep the disturbance on generators in a system to the minimum while maintaining an acceptable system voltage profile after a sudden wind power drop.
dc.identifier.urihttp://digital.library.wisc.edu/1793/85409
dc.relation.replaceshttps://dc.uwm.edu/etd/1124
dc.subjectESS
dc.subjectPlanning
dc.subjectPSO
dc.subjectSensitivity Analysis
dc.titleA Novel Energy Storage Allocation Planning Method for Microgrid
dc.typethesis
thesis.degree.disciplineEngineering
thesis.degree.grantorUniversity of Wisconsin-Milwaukee
thesis.degree.nameMaster of Science

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