Joint Planning of Utility-Owned Distributed Energy Resources in an Unbalanced Active Distribution Network Considering Asset Health Degradation

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorLeng, Ruoxuanen_US
dc.contributor.authorLi, Zhengmaoen_US
dc.contributor.authorXu, Yanen_US
dc.contributor.departmentDepartment of Electrical Engineering and Automationen
dc.contributor.groupauthorMulti-energy System Planning and Operationen
dc.contributor.organizationNanyang Technological Universityen_US
dc.date.accessioned2024-04-11T15:52:46Z
dc.date.available2024-04-11T15:52:46Z
dc.date.issued2024-07-01en_US
dc.description.abstractRapid integration of distributed energy resources (DERs) in active distribution networks (ADNs) necessitates advanced planning methods to optimally determine the size, site, and installation time of DERs. However, existing approaches often assume balanced networks and neglect health degradation of DER assets, limiting the accuracy and practicality of the planning results. This paper proposes a new planning method for utility-owned distributed generators (DGs) and energy storage systems (ESSs) in an unbalanced ADN considering asset health degradation. First, the three-phase branch flow is modeled for unbalanced characteristics of ADNs, and host DERs separately in different phases. Then, based on the Wiener degradation process, the aging path of each DG unit is modeled to estimate its available capacity along with service time; the ESS aging is modeled to reflect the degradation cost during charging and discharging. Finally, a copula-based stochastic programming method is presented considering the correlations between renewables and power demands. The inclusion of market volatility in electricity price uncertainty further enhances planning realism. Numerical case studies on an IEEE-34 bus three-phase ADN demonstrate the effectiveness and advantages of the proposed method.en
dc.description.versionPeer revieweden
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationLeng, R, Li, Z & Xu, Y 2024, ' Joint Planning of Utility-Owned Distributed Energy Resources in an Unbalanced Active Distribution Network Considering Asset Health Degradation ', IEEE Transactions on Smart Grids, vol. 15, no. 4, 10436425, pp. 3768-3781 . https://doi.org/10.1109/TSG.2024.3365974en
dc.identifier.doi10.1109/TSG.2024.3365974en_US
dc.identifier.issn1949-3061
dc.identifier.otherPURE UUID: 0d9fe6c0-ff19-4272-aed1-835087eb3fe9en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/0d9fe6c0-ff19-4272-aed1-835087eb3fe9en_US
dc.identifier.otherPURE LINK: https://ieeexplore.ieee.org/document/10436425/en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/143203832/20240223-Final-optimal_planning_in_unbalance_dirtribution_systems_with_degradation.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/127392
dc.identifier.urnURN:NBN:fi:aalto-202404113015
dc.language.isoenen
dc.publisherIEEE
dc.relation.ispartofseriesIEEE Transactions on Smart Grid
dc.rightsopenAccessen
dc.subject.keywordAgingen_US
dc.subject.keywordComputational modelingen_US
dc.subject.keywordCostsen_US
dc.subject.keywordDegradationen_US
dc.subject.keywordLoad flowen_US
dc.subject.keywordPlanningen_US
dc.subject.keywordUncertaintyen_US
dc.titleJoint Planning of Utility-Owned Distributed Energy Resources in an Unbalanced Active Distribution Network Considering Asset Health Degradationen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionacceptedVersion
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