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dc.contributor.authorZubo, Rana H.A.*
dc.contributor.authorMokryani, Geev*
dc.contributor.authorRajamani, Haile S.*
dc.contributor.authorAbd-Alhameed, Raed A.*
dc.contributor.authorHu, Yim Fun*
dc.date.accessioned2017-07-19T14:07:18Z
dc.date.available2017-07-19T14:07:18Z
dc.date.issued2017-04
dc.identifier.citationZubo RHA, Mokryani G, Rajamani H-S et al (2017) Stochastic approach for active and reactive power management in distribution networks. Presented at: CoDIT’17: The 4th International Conference on Control, Decision and Information Technologies, 5-7 April 2017, Barcelona, Spain.en_US
dc.identifier.urihttp://hdl.handle.net/10454/12600
dc.descriptionYesen_US
dc.description.abstractIn this paper, a stochastic method is proposed to assess the amount of active and reactive power that can be injected/absorbed to/from grid within a distribution market environment. Also, the impact of wind power penetration on the reactive and active distribution-locational marginal prices is investigated. Market-based active and reactive optimal power flow is used to maximize the social welfare considering uncertainties related to wind speed and load demand. The uncertainties are modeled by Scenario-based approach. The proposed model is examined with 16-bus UK generic distribution system.en_US
dc.description.sponsorshipSupported by the Higher Education Ministry of Iraqi government.en_US
dc.language.isoenen_US
dc.rights© 2017 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.subjectActive and reactive optimal power flow; Social welfare maximization; Uncertainty modelling; Distribution locational marginal pricesen_US
dc.titleStochastic approach for active and reactive power management in distribution networksen_US
dc.status.refereedYesen_US
dc.date.Accepted2017-02
dc.typeConference paperen_US
dc.type.versionAccepted Manuscripten_US
refterms.dateFOA2018-07-25T16:09:40Z


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