Online Voltage Stability Assessment for Load Areas Based on the Holomorphic Embedding Method

dc.contributor.authorLiu, Chengxi
dc.contributor.authorWang, Bin
dc.contributor.authorHu, Fengkai
dc.contributor.authorSun, Kai
dc.contributor.authorBak, Claus Leth
dc.creator.orcidhttps://orcid.org/0000-0003-4199-4403en_US
dc.date.accessioned2023-06-26T19:22:52Z
dc.date.available2023-06-26T19:22:52Z
dc.date.issued2018-07
dc.descriptionThis version is the accepted manuscript. See final published version at https://doi.org/10.1109/TPWRS.2017.2771384. © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.description.abstractThis paper proposes an online steady-state voltage stability assessment scheme to evaluate the proximity to voltage collapse at each bus of a load area. Using a non-iterative holomorphic embedding method (HEM) with a proposed physical germ solution, an accurate loading limit at each load bus can be calculated based on online state estimation on the entire load area and a measurement-based equivalent for the external system. The HEM employs a power series to calculate an accurate P-V curve at each load bus and accordingly evaluates the voltage stability margin considering load variations in the next period. An adaptive two-stage Padé approximant method is proposed to improve the convergence of the power series for accurate determination of the nose point on the P-V curve with moderate computational burden. The proposed method is first illustrated in detail on a four-bus test system and then demonstrated on a load area of the Northeast Power Coordinating Council 48-geneartor 140-bus power system.en_US
dc.description.departmentElectrical and Computer Engineeringen_US
dc.description.sponsorshipNational Science Foundation; U.S. Department of Energyen_US
dc.identifier.citationLiu, C., Wang, B., Hu, F., Sun, K., & Bak, C. L. (2018). Online Voltage Stability Assessment for Load Areas Based on the Holomorphic Embedding Method. IEEE Transactions on Power Systems, 33(4), 3720-3734. doi:10.1109/TPWRS.2017.2771384en_US
dc.identifier.issn1558-0679
dc.identifier.otherhttps://doi.org/10.1109/TPWRS.2017.2771384
dc.identifier.urihttps://hdl.handle.net/20.500.12588/1936
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.ispartofseriesIEEE Transactions on Power Systems;Volume 33, Issue 4
dc.subjectcontinuation power flowen_US
dc.subjectholomorphic embedding methoden_US
dc.subjectPadé approximanten_US
dc.subjectvoltage stability assessmenten_US
dc.subjectvoltage stability marginen_US
dc.titleOnline Voltage Stability Assessment for Load Areas Based on the Holomorphic Embedding Methoden_US
dc.typeArticleen_US

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