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A Model for Stochastic Planning of Distribution Network and Autonomous DG Units

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Jooshaki, Mohammad
dc.contributor.author Farzin, Hossein
dc.contributor.author Abbaspour, Ali
dc.contributor.author Fotuhi-Firuzabad, Mahmud
dc.contributor.author Lehtonen, Matti
dc.date.accessioned 2020-06-25T08:34:46Z
dc.date.available 2020-06-25T08:34:46Z
dc.date.issued 2020-06-01
dc.identifier.citation Jooshaki , M , Farzin , H , Abbaspour , A , Fotuhi-Firuzabad , M & Lehtonen , M 2020 , ' A Model for Stochastic Planning of Distribution Network and Autonomous DG Units ' , IEEE Transactions on Industrial Informatics , vol. 16 , no. 6 , 8807219 , pp. 3685-3696 . https://doi.org/10.1109/TII.2019.2936280 en
dc.identifier.issn 1551-3203
dc.identifier.other PURE UUID: 027474c5-8a4e-440f-868d-7c4fba410544
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/027474c5-8a4e-440f-868d-7c4fba410544
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85081538855&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/43309116/ELEC_Jooshaki_etal_A_Mode_for_Stochastic_IEEETraIndInf_16_6_2020_authoracceptedmanuscript.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/45059
dc.description.abstract This article presents a mixed-integer linear stochastic model for the optimal expansion planning of electricity distribution networks and distributed generation (DG) units. In the proposed framework, autonomous DG units are aggregated and modeled using the well-known energy hub concept. In this model, the uncertainties of heat and electricity demand as well as renewable generation are represented using various scenarios. Although this is a standard technique to capture the uncertainties, it drastically increases the dimensions of this optimization problem and makes it practically intractable. In order to address this issue, a novel iterative method is developed in this article to enhance the efficiency of the optimization model. The proposed framework is further utilized to assess the benefits of the collaborative distribution network and autonomous distributed generation planning through various case studies performed on the 24-node distribution test grid. With 5.93% cost reduction, the obtained results indicate the importance of such collaborations in reaching an efficient network expansion solution. Moreover, the total planning cost for the stochastic model is 1.23% lower than the deterministic case. Various sensitivity analyses are also carried out to investigate the impacts of parameters of the proposed model on the optimal planning solution. The scalability of the model is also assessed by its implementation on the 54-node distribution test network. en
dc.format.extent 12
dc.format.extent 3685-3696
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries IEEE Transactions on Industrial Informatics en
dc.relation.ispartofseries Volume 16, issue 6 en
dc.rights openAccess en
dc.title A Model for Stochastic Planning of Distribution Network and Autonomous DG Units en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Power Systems and High Voltage Engineering
dc.contributor.department Shahid Chamran University of Ahvaz
dc.contributor.department Sharif University of Technology
dc.contributor.department Department of Electrical Engineering and Automation
dc.subject.keyword Collaborative planning
dc.subject.keyword Distributed generation (DG)
dc.subject.keyword Electricity distribution system planning
dc.subject.keyword Energy hub (EH)
dc.subject.keyword Stochastic programming
dc.identifier.urn URN:NBN:fi:aalto-202006254016
dc.identifier.doi 10.1109/TII.2019.2936280
dc.type.version acceptedVersion

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