Planning optimal load distribution and maximum renewable energy from wind power on a radial distribution system

dc.contributor.authorWeerasinghe, Handuwala Dewage Dulan Jayanatha
dc.date.accessioned2016-02-15T16:22:56Z
dc.date.available2016-02-15T16:22:56Z
dc.date.graduationmonthMay
dc.date.issued2015-05-01
dc.description.abstractOptimizing renewable distributed generation in distribution systems has gained popularity with changes in federal energy policies. Various studies have been reported in this regard and most of the studies are based on optimum wind and/or solar generation planning in distribution system using various optimization techniques such as analytical, numerical, and heuristic. However, characteristics such as high energy density, relatively lower footprint of land, availability, and local reactive power compensation ability, have gained increased popularity for optimizing distributed wind generation (DWG) in distribution systems. This research investigated optimum distributed generation planning (ODGP) using two primary optimization techniques: analytical and heuristic. In first part of the research, an analytical optimization method called “Combined Electrical Topology (CET)” was proposed in order to minimize the impact of intentional structural changes in distribution system topology, in distributed generation/ DWG placement. Even though it is still rare, DWG could be maximized to supply base power demand of three-phase unbalanced radial distribution system, combined with distributed battery energy storage systems (BESS). In second part of this research the usage of DWG/BESS as base power generation, and to extend the ability to sustain the system in a power grid failure for a maximum of 1.5 hours was studied. IEEE 37-node, three-phase unbalanced radial distribution system was used as the test system to optimize wind turbines and sodium sulfide (NaS) battery units with respect to network real power losses, system voltage profile, DWG/BESS availability and present value of cost savings. In addition, DWG’s ability to supply local reactive power in distribution system was also investigated. Model results suggested that DWG/NaS could supply base power demand of a threephase unbalanced radial distribution system. In addition, DWG/NaS were able to sustain power demand of a three-phase unbalanced distribution system for 1.5 hours in the event of a power grid failure.
dc.description.advisorRuth D. Miller
dc.description.degreeDoctor of Philosophy
dc.description.departmentElectrical and Computer Engineering
dc.description.levelDoctoral
dc.identifier.urihttp://hdl.handle.net/2097/28714
dc.language.isoen_US
dc.publisherKansas State University
dc.rights© the author. This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectDistributed wind generation
dc.subjectDistribution system
dc.subjectDistributed energy storage system
dc.subjectOptimization
dc.subject.umiElectrical Engineering (0544)
dc.titlePlanning optimal load distribution and maximum renewable energy from wind power on a radial distribution system
dc.typeDissertation

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