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Sizing Methodology and Life Improvement of Energy Storage Systems in Microgrids

Khasawneh, Hussam Jihad
http://orcid.org/0000-0001-5382-305X
http://rave.ohiolink.edu/etdc/view?acc_num=osu1429638668

Abstract Details

2015, Doctor of Philosophy, Ohio State University, Electrical and Computer Engineering.
The demand for electric power has been steadily increasing, and this trend is expected to continue over the coming decades. With the increased usage of fossil fuels, there has been a growing concern with the environmental impacts of electric power generation. Therefore, penetration of renewable sources of energy in the modern electric grid has also been increasing. The intermittent nature of renewables introduces uncertainty in the electric grid, which has a negative impact on grid reliability. To address these challenges, renewables are supplemented with energy storage systems (ESS). This dissertation evaluates ESS technologies according to their applications. A generalized method is proposed for ESS sizing for microgrids. This method can be successfully applied to any load profile; it also takes into account operating temperature and aging factors. In addition, this dissertation presents a variety of ESS life balancing solutions using the new framework of Flexible Distribution of EneRgy and Storage Resources (FDERS). It is based on an in-situ reconfiguration approach through `virtual’ reactance and/or `virtual’ inertia to change the `electrical’ position of each DER without physically displacing it in the microgrid system. Several approaches toward balancing the ESS utilization are proposed taking advantage of the flexibility offered by FDERS framework. It is shown that the estimated ESS cycle life is dependent on factors such as cycling sequence, pattern, and occurrence. Finally, this dissertation proposes a multi-agent based fleet vehicle-to-grid (V2G) control strategy that intelligently computes each vehicle’s load share based on its battery state-of-health (SoH). Unlike state-of-the-art V2G systems, which treat all the fleet electric vehicles equally with no regard to their diverse driving histories and unequal battery aging, the proposed control strategy employs a programmable on-board smart device to estimate the vehicle’s battery SoH. When multiple vehicles are connected to an isolated microgrid, the individual load shares are dependent on their latest SoH value.
Mahesh Illindala, PhD (Advisor)
Jin Wang, PhD (Committee Member)
Jiankang Wang, PhD (Committee Member)
Donald Terndrup, PhD (Committee Member)
158 p.
Electrical Engineering; Engineering
Microgrid; Smart grid; Aging; Distributed control; Distributed energy resource; Fuel cell; Battery; Supercapacitor; Virtual reactance; Virtual inertia; Electric vehicle; Vehicle-to-Grid; Smart discharging control

Recommended Citations

Citations

  • Khasawneh, H. J. (2015). Sizing Methodology and Life Improvement of Energy Storage Systems in Microgrids [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429638668

    APA Style (7th edition)

  • Khasawneh, Hussam. Sizing Methodology and Life Improvement of Energy Storage Systems in Microgrids. 2015. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1429638668.

    MLA Style (8th edition)

  • Khasawneh, Hussam. "Sizing Methodology and Life Improvement of Energy Storage Systems in Microgrids." Doctoral dissertation, Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429638668

    Chicago Manual of Style (17th edition)

osu1429638668
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© 2015, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.