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Fast Restoration for Smart Grids Using Mixed-Integer Second Order Cone Programming


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DOI: https://doi.org/10.15866/iremos.v15i6.23081

Abstract


The Smart Grids offered the capability to reconfigure and restore the system to regular operation after a fault without human intervention. It is done by installing distributed equipment as input for the monitoring and control system. This study proposed a fast restoration for smart grids by considering technical constraints. Those include the available power supply, system reconfiguration, and power flow. The restoration strategies are solved by mathematical programming, formulated as a mixed-integer second order cone programming problem. The proposed formulation ensures global optimality. The proposed method is tested using IEEE 33 and 69 bus systems. In addition, DG’s are added to represent active distribution systems. The simulation results show the capability of the proposed method to solve fast restoration with remarkable accuracy and computational time.
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Keywords


Restoration; Mathematic Programming; Mixed-Integer Second Order Cone Programming; Smart Grids

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References


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