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.
| Original language | English |
|---|---|
| Pages (from-to) | 408-413 |
| Number of pages | 6 |
| Journal | International Review on Modelling and Simulations |
| Volume | 15 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Mathematic Programming
- Mixed-Integer Second Order Cone Programming
- Restoration
- Smart Grids
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