A risk-based framework to optimize distributed generation investment plans considering incentive reliability regulations

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dc.contributor.affiliationSharif University of Technology
dc.contributor.affiliationShahid Chamran University of Ahvaz
dc.contributor.affiliationSharif University of Technology
dc.contributor.affiliationSharif University of Technology
dc.contributor.affiliationAalto University
dc.contributor.authorJooshaki, Mohammad
dc.contributor.authorFarzin, Hossein
dc.contributor.authorAbbaspour, Ali
dc.contributor.authorFotuhi-Firuzabad, Mahmud
dc.contributor.authorLehtonen, Matti
dc.contributor.countryIran Islamic Republic of
dc.contributor.countryIran Islamic Republic of
dc.contributor.countryIran Islamic Republic of
dc.contributor.countryIran Islamic Republic of
dc.contributor.countryFinland
dc.contributor.detailedauthorJooshaki, Mohammad, Sharif University of Technology, Iran Islamic Republic of
dc.contributor.detailedauthorFarzin, Hossein, Shahid Chamran University of Ahvaz, Iran Islamic Republic of
dc.contributor.detailedauthorAbbaspour, Ali, Sharif University of Technology, Iran Islamic Republic of
dc.contributor.detailedauthorFotuhi-Firuzabad, Mahmud, Sharif University of Technology, Iran Islamic Republic of
dc.contributor.detailedauthorLehtonen, Matti, Aalto University, Finland
dc.date.accessioned2019-07-24T12:38:20Z
dc.date.available2019-07-24T12:38:20Z
dc.date.conferencedate3-6 June 2019
dc.date.issued2019-06-03
dc.description.abstractThis paper develops a risk-based framework for maximization of distribution companies’ profit, considering the implementation of incentive reliability regulations. In the proposed framework, various investment alternatives are considered. These alternatives are installation of distributed generation (DG) units as well as reinforcement of the existing feeders. Moreover, an efficient optimization framework based on genetic algorithm (GA) and dynamic programming technique are proposed to solve the introduced model. In order to demonstrate the application of the proposed framework, it is implemented on a test distribution network, and the obtained results are analyzed.
dc.description.conferencelocationMadrid, Spain
dc.description.conferencenameCIRED 2019
dc.description.openaccessYes
dc.description.peerreviewedYes
dc.description.sessionDistributed energy resources and efficient utilisation of electricity
dc.description.sessionidSession 4
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/233
dc.identifier.urihttp://dx.doi.org/10.34890/457
dc.language.isoen
dc.publisherAIM
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleA risk-based framework to optimize distributed generation investment plans considering incentive reliability regulations
dc.title.number982
dc.typeConference Proceedings
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