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A Resilient Sequential Service Restoration Framework for Unbalanced Active Distribution Networks under System Uncertainties

Conference Paper


Abstract


  • The resilience of an active distribution network (ADN) is continuously threatened by extreme weather, natural disaster, and cyber-physical incidents. An automatic restoration framework is thus desired to optimally integrate the emerging smart-grid technologies with the grid-edge flexibility to self-heal the ADNs. This paper proposes a framework for sequential ADN restoration by coordinating different distributed energy resources (DERs) on the grid-edge. The uncertainty of the renewable DERs is, however, a challenge. Therefore, the proposed framework is formulated as a chance-constrained optimization problem (CCOP). The chance-constraints use a parametrized response policy for the control during fluctuations and are reformulated for an efficient solution. The proposed CCOP's solution provides a sequence of control actions at each time-step that coordinates the network switches and DERs to form multiple islanded microgrids. Its effectiveness is evaluated on IEEE 123 node ADN.

Publication Date


  • 2021

Citation


  • Mohy-Ud-Din, G., Muttaqi, K. M., & Sutanto, D. (2021). A Resilient Sequential Service Restoration Framework for Unbalanced Active Distribution Networks under System Uncertainties. In Conference Record - IAS Annual Meeting (IEEE Industry Applications Society) Vol. 2021-October. doi:10.1109/IAS48185.2021.9677123

Scopus Eid


  • 2-s2.0-85124684382

Web Of Science Accession Number


Volume


  • 2021-October

Abstract


  • The resilience of an active distribution network (ADN) is continuously threatened by extreme weather, natural disaster, and cyber-physical incidents. An automatic restoration framework is thus desired to optimally integrate the emerging smart-grid technologies with the grid-edge flexibility to self-heal the ADNs. This paper proposes a framework for sequential ADN restoration by coordinating different distributed energy resources (DERs) on the grid-edge. The uncertainty of the renewable DERs is, however, a challenge. Therefore, the proposed framework is formulated as a chance-constrained optimization problem (CCOP). The chance-constraints use a parametrized response policy for the control during fluctuations and are reformulated for an efficient solution. The proposed CCOP's solution provides a sequence of control actions at each time-step that coordinates the network switches and DERs to form multiple islanded microgrids. Its effectiveness is evaluated on IEEE 123 node ADN.

Publication Date


  • 2021

Citation


  • Mohy-Ud-Din, G., Muttaqi, K. M., & Sutanto, D. (2021). A Resilient Sequential Service Restoration Framework for Unbalanced Active Distribution Networks under System Uncertainties. In Conference Record - IAS Annual Meeting (IEEE Industry Applications Society) Vol. 2021-October. doi:10.1109/IAS48185.2021.9677123

Scopus Eid


  • 2-s2.0-85124684382

Web Of Science Accession Number


Volume


  • 2021-October