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dc.contributor.authorWang, Honggang ( )
dc.contributor.authorJin, Tongdan ( Orcid Icon 0000-0001-7845-9936 )
dc.date.accessioned2020-07-22T19:13:53Z
dc.date.available2020-07-22T19:13:53Z
dc.date.issued2020-05
dc.identifier.citationWang, H., & Jin, T. (2020). Prevention and survivability for power distribution resilience: A multi-criteria renewables expansion model. IEEE Access, 8, pp. 88422–88433.en_US
dc.identifier.issn2169-3536
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/12146
dc.description.abstractDistributed energy resources are capable of enhancing grid resilience through island operations in contingency. This paper proposes a multi-year, multi-criteria generation expansion model to achieve distribution power resilience through renewable energy integration. In cases that distribution circuits or fuel lifeline are destroyed post natural disasters, wind- and solar-based generators form island microgrids to power the critical load. The goal is to determine the sizing, siting and maintenance of distributed energy resources such that system cost and power shortage in contingency are minimized. Moment methods and central limit theorem are used to characterize the spatial climate uncertainty, generation intermittency,and voltage variation. The research contributions are twofold. First, the expansion model achieves triple goals by meeting the annual load growth, reducing the carbon footprint, and enhancing the grid resilience manifested as prevention and survivability. Second, we present an improved direct zigzag algorithm to searchfor the Pareto solutions. Numerical examples show that the zigzag search outperforms evolutionary-based algorithms as it can identify higher-quality non-dominant solutions by exploring a wider Pareto frontier.en_US
dc.formatText
dc.format.extent12 pages
dc.format.medium1 file (.pdf)
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.sourceIEEE Access, 2020, Vol. 8, pp. 88422–88433.
dc.subjectPower resilienceen_US
dc.subjectIsland microgrid
dc.subjectPrevention and survivability
dc.subjectZigzag algorithm
dc.subjectChance constraint
dc.titlePrevention and Survivability for Power Distribution Resilience: A Multi-Criteria Renewables Expansion Modelen_US
txstate.documenttypeArticle
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2020.2993020
dc.rights.licenseThis work is licensed under a Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/).
txstate.departmentIngram School of Engineering


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