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Article: Restoration Strategy for Active Distribution Systems Considering Endogenous Uncertainty in Cold Load Pickup

TitleRestoration Strategy for Active Distribution Systems Considering Endogenous Uncertainty in Cold Load Pickup
Authors
KeywordsCold load pickup
Decision-dependent uncertainty
Distribution system
Service restoration
Stochastic programming
Issue Date1-Jul-2022
PublisherInstitute of Electrical and Electronics Engineers
Citation
IEEE Transactions on Smart Grid, 2022, v. 13, n. 4, p. 2690-2702 How to Cite?
AbstractCold load pickup (CLPU) phenomenon is identified as the persistent power inrush upon a sudden load pickup after an outage. Under the active distribution system (ADS) paradigm, where distributed energy resources (DERs) are extensively installed, the decreased outage duration can induce a strong interdependence between CLPU pattern and load pickup decisions. In this paper, we propose a novel modelling technique to tractably capture the decision-dependent uncertainty (DDU) inherent in the CLPU process. Subsequently, a two-stage stochastic decision-dependent service restoration (SDDSR) model is constructed, where first stage searches for the optimal switching sequences to decide step-wise network topology, and the second stage optimizes the detailed generation schedule of DERs as well as the energization of switchable loads. Moreover, to tackle the computational burdens introduced by mixed-integer recourse, the progressive hedging algorithm (PHA) is utilized to decompose the original model into scenario-wise subproblems that can be solved in parallel. The numerical test on modified IEEE 123-node test feeders has verified the efficiency of our proposed SDDSR model and provided fresh insights into the monetary and secure values of DDU quantification.
Persistent Identifierhttp://hdl.handle.net/10722/338418
ISSN
2023 Impact Factor: 8.6
2023 SCImago Journal Rankings: 4.863
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, YL-
dc.contributor.authorSun, W-
dc.contributor.authorYin, W-
dc.contributor.authorLei, S-
dc.contributor.authorHou, Y-
dc.date.accessioned2024-03-11T10:28:41Z-
dc.date.available2024-03-11T10:28:41Z-
dc.date.issued2022-07-01-
dc.identifier.citationIEEE Transactions on Smart Grid, 2022, v. 13, n. 4, p. 2690-2702-
dc.identifier.issn1949-3053-
dc.identifier.urihttp://hdl.handle.net/10722/338418-
dc.description.abstractCold load pickup (CLPU) phenomenon is identified as the persistent power inrush upon a sudden load pickup after an outage. Under the active distribution system (ADS) paradigm, where distributed energy resources (DERs) are extensively installed, the decreased outage duration can induce a strong interdependence between CLPU pattern and load pickup decisions. In this paper, we propose a novel modelling technique to tractably capture the decision-dependent uncertainty (DDU) inherent in the CLPU process. Subsequently, a two-stage stochastic decision-dependent service restoration (SDDSR) model is constructed, where first stage searches for the optimal switching sequences to decide step-wise network topology, and the second stage optimizes the detailed generation schedule of DERs as well as the energization of switchable loads. Moreover, to tackle the computational burdens introduced by mixed-integer recourse, the progressive hedging algorithm (PHA) is utilized to decompose the original model into scenario-wise subproblems that can be solved in parallel. The numerical test on modified IEEE 123-node test feeders has verified the efficiency of our proposed SDDSR model and provided fresh insights into the monetary and secure values of DDU quantification.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relation.ispartofIEEE Transactions on Smart Grid-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCold load pickup-
dc.subjectDecision-dependent uncertainty-
dc.subjectDistribution system-
dc.subjectService restoration-
dc.subjectStochastic programming-
dc.titleRestoration Strategy for Active Distribution Systems Considering Endogenous Uncertainty in Cold Load Pickup-
dc.typeArticle-
dc.identifier.doi10.1109/TSG.2021.3120555-
dc.identifier.scopuseid_2-s2.0-85117801223-
dc.identifier.volume13-
dc.identifier.issue4-
dc.identifier.spage2690-
dc.identifier.epage2702-
dc.identifier.eissn1949-3061-
dc.identifier.isiWOS:000814692300022-
dc.identifier.issnl1949-3053-

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