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Article: Grid inadequacy assessment for high power injection diversity Part II: Finding grid expansion options

TitleGrid inadequacy assessment for high power injection diversity Part II: Finding grid expansion options
Authors
KeywordsPower system planning
Future grids
Inadequacy metrics
Power injection diversity
Transmission network expansion
Issue Date2020
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/ijepes
Citation
International Journal of Electrical Power & Energy Systems, 2020, v. 118, p. article no. 105831 How to Cite?
AbstractPower injection scenarios will become more diverse in the future as intermittent renewable generation, dynamic loads, and energy storage devices become more prevalent especially under a market environment. Grid planners need new planning tools to find long-term grid expansion options that promote competition and equitable market access by accommodating diverse scenarios. Part I of the paper presented a framework and a set of metrics for measuring inherent grid inadequacy for high power injection diversity using the power flow infeasible set. This paper uses the ideas in Part I to develop an approach that finds grid expansion options by directly minimizing inherent grid inadequacy as objective. We present one implementation using a robust-like optimization model that minimizes the size of a scenario-based representation of the power flow infeasible set. We show using case studies that the proposed approach using inherent grid inadequacy metrics can identify solutions distinct from other approaches and better in some measure.
Persistent Identifierhttp://hdl.handle.net/10722/288072
ISSN
2021 Impact Factor: 5.659
2020 SCImago Journal Rankings: 1.050
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorTio, AE-
dc.contributor.authorHill, DJ-
dc.contributor.authorMa, J-
dc.date.accessioned2020-10-05T12:07:27Z-
dc.date.available2020-10-05T12:07:27Z-
dc.date.issued2020-
dc.identifier.citationInternational Journal of Electrical Power & Energy Systems, 2020, v. 118, p. article no. 105831-
dc.identifier.issn0142-0615-
dc.identifier.urihttp://hdl.handle.net/10722/288072-
dc.description.abstractPower injection scenarios will become more diverse in the future as intermittent renewable generation, dynamic loads, and energy storage devices become more prevalent especially under a market environment. Grid planners need new planning tools to find long-term grid expansion options that promote competition and equitable market access by accommodating diverse scenarios. Part I of the paper presented a framework and a set of metrics for measuring inherent grid inadequacy for high power injection diversity using the power flow infeasible set. This paper uses the ideas in Part I to develop an approach that finds grid expansion options by directly minimizing inherent grid inadequacy as objective. We present one implementation using a robust-like optimization model that minimizes the size of a scenario-based representation of the power flow infeasible set. We show using case studies that the proposed approach using inherent grid inadequacy metrics can identify solutions distinct from other approaches and better in some measure.-
dc.languageeng-
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/ijepes-
dc.relation.ispartofInternational Journal of Electrical Power & Energy Systems-
dc.subjectPower system planning-
dc.subjectFuture grids-
dc.subjectInadequacy metrics-
dc.subjectPower injection diversity-
dc.subjectTransmission network expansion-
dc.titleGrid inadequacy assessment for high power injection diversity Part II: Finding grid expansion options-
dc.typeArticle-
dc.identifier.emailHill, DJ: dhill@eee.hku.hk-
dc.identifier.authorityHill, DJ=rp01669-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.ijepes.2020.105831-
dc.identifier.scopuseid_2-s2.0-85077651764-
dc.identifier.hkuros315122-
dc.identifier.volume118-
dc.identifier.spagearticle no. 105831-
dc.identifier.epagearticle no. 105831-
dc.identifier.isiWOS:000518691600110-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl0142-0615-

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