Journal Article

·2021

Post-Event Resiliency-Driven Strategy Dispatching Mobile Power Sources Considering Transportation System Constraints

Ayşe Kübra Erenoğlu YTU , Ozan Erdinç YTU , Semanur Sancar YTU , João P. S. Catalào

Abstract

In this paper, a post-event restoration framework for distribution system in response to high impact low probable events is presented. The mobile emergency generators and mobile energy storage systems are considered for grid-support services in order to boost the system performance by supplying load demands, weighted by their priority. The restoration strategy of repair crew is dispatched in a deterministic way and the coordinated operation is performed with mobile power sources for picking up lost loads as soon as possible. Also, the transportation system constraints are integrated into the restoration tools for obtaining more realistic results while directing mobile power sources from staging locations to the damaged areas. A mixed integer linear programming (MILP)-based scheme is performed on a modified version of the 10-bus test system with different case studies for illustrating the capabilities of the model implemented in the PuLP 1.6.8 open source library of Python 2.7 version, solved by CPLEX solver.

Keywords

Python (programming language) Computer science Solver Linear programming Integer programming Crew Electric power system Grid Real-time computing Event (particle physics) Distributed computing Simulation Reliability engineering Power (physics) Engineering Operating system Algorithm

Subject Areas

Infrastructure Resilience and Vulnerability Analysis ·Civil and Structural Engineering ·Physical Sciences
Smart Grid Security and Resilience ·Control and Systems Engineering ·Physical Sciences
Optimal Power Flow Distribution ·Electrical and Electronic Engineering ·Physical Sciences

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