Development of Physics-Based Models of Lithium-ion Battery Energy Storage for Power System Techno-Economic Studies

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dc.contributor.advisorRosehart, William D.
dc.contributor.advisorZareipour, Hamidreza
dc.contributor.authorVykhodtsev, Anton
dc.contributor.committeememberThangadurai, Venkataraman
dc.contributor.committeememberWestwick, David T.
dc.contributor.committeememberNielsen, Jorgen S.
dc.contributor.committeememberLiang, Hao
dc.date.accessioned2023-09-28T18:00:25Z
dc.date.available2023-09-28T18:00:25Z
dc.date.issued2023-09-21
dc.description.abstractThe pathway to achieving a sustainable, low-carbon power system includes the widespread integration of energy storage to tackle intermittency of renewable energy sources and provide stability to the grid through various grid services. Among the wide range of stationary energy storage technologies available, the lithium-ion battery dominates the growth in installations throughout the world. Although lithium-ion battery energy storage systems are complex grid assets with nonlinear characteristics and lifespans that depend on operating conditions, the majority of economic assessments are conducted using a simple energy reservoir model that does not consider the physical processes occurring inside the lithium-ion battery storage. This thesis focuses on the development of physics-based models for lithium-ion battery energy storage in power system techno-economic studies. The aim of this work is to assist developers and investors in making better-informed decisions. In this work, modelling approaches used to represent lithium-ion battery energy storage in power system operation and planning studies are reviewed. The role of advanced models in enhancing the accuracy of economic evaluations and producing feasible schedules for battery storage providing transmission-level services is discussed. More importantly, this work proposes three physics-based mixed-integer models for battery energy storage for use in power system operation research studies. The first model is based on the single particle model and replicates the nonlinear operational characteristics of the battery. This model can be used for short-term operation studies. The second proposed model combines the widely-used energy reservoir model with the physical description of solid electrolyte interphase formation as a degradation mechanism. This model has been tested for long-term studies in both energy and power grid applications. Finally, the third proposed model is a data-driven model that accurately reproduces the degradation processes and nonlinear performance of the lithium-ion cell. The model facilitates long-term assessment of battery energy storage and effectively tracks both capacity and power fade over time. The results obtained from all the models are validated using the digital twin, which is based on the single particle model.
dc.identifier.citationVykhodtsev, A. (2023). Development of physics-based models of lithium-ion battery energy storage for power system techno-economic studies (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.
dc.identifier.urihttps://hdl.handle.net/1880/117203
dc.language.isoen
dc.publisher.facultySchulich School of Engineering
dc.publisher.institutionUniversity of Calgary
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectLithium-ion battery
dc.subjectbattery energy storage system
dc.subjectdegradation
dc.subjectoperation
dc.subjecteconomic energy arbitrage
dc.subjectneural network
dc.subjectphysics-based models
dc.subject.classificationEngineering--Electronics and Electrical
dc.subject.classificationEnergy
dc.subject.classificationEngineering--Operations Research
dc.titleDevelopment of Physics-Based Models of Lithium-ion Battery Energy Storage for Power System Techno-Economic Studies
dc.typedoctoral thesis
thesis.degree.disciplineEngineering – Electrical & Computer
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.thesis.accesssetbystudentI do not require a thesis withhold – my thesis will have open access and can be viewed and downloaded publicly as soon as possible.
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