Dynamic Distribution System Restoration Strategy for Resilience Enhancement: Preprint

Liu, Weijia; Ding, Fei; Zhao, Changhong

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Dynamic Distribution System Restoration Strategy for Resilience Enhancement: Preprint

Liu, Weijia·Ding, Fei·Zhao, Changhong

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Abstract

In electric power distribution systems, distributed energy re-sources (DERs) can act as controllable power sources and support utility operators to minimize power outages after ex-treme weather events (e.g., hurricane, earthquake, wildfire) and thus help enhance the grid's resilience. Meanwhile, the influ-ences of extreme events and the capabilities of DERs are dy-namic and difficult to predict. Hence, the desired distribution system restoration strategy should be able to evolve according to real-time fault/disturbance information and the availabil-ity of DERs. In this paper, we propose a new dynamic distribu-tion system restoration strategy to enhance system resilience against potential hazards. An efficient reconfiguration algo-rithm is developed to eliminate the use of integer variables to relieve the computational burden. Model predictive control is implemented to adjust the system topology and DER opera-tion setpoints based on the updated fault information and DER forecasts. The effectiveness of the proposed restoration model in enhancing distribution system resilience is validated through an IEEE 123-bus test system. Simulation results also validate that the proposed restoration model can mitigate the occurrence of unexpected events and the fluctuations of DERs.

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24 POWER TRANSMISSION AND DISTRIBUTION DERs distributed energy resources distribution system reconfiguration distribution system restoration model predictive control MPC power system resilience three-phase unbalanced distribution system

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BibTeX RIS

Liu, Weijia, Ding, Fei, Zhao, Changhong. 2020-02-24. Dynamic Distribution System Restoration Strategy for Resilience Enhancement: Preprint. https://www.osti.gov/biblio/1602173

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