Scalable Assessment and Optimization of Power Distribution Automation Networks

Alberto Avritzer (), Lucia Happe (), Anne Koziolek (), Daniel Sadoc Menasche (), Sindhu Suresh () and Jose Yallouz ()
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Alberto Avritzer: Corporate Technology
Lucia Happe: Karlsruhe Institute of Technology (KIT)
Anne Koziolek: Karlsruhe Institute of Technology (KIT)
Daniel Sadoc Menasche: Federal University of Rio de Janeiro
Sindhu Suresh: Corporate Technology
Jose Yallouz: Israel Institute of Technology (Technion)

A chapter in Principles of Performance and Reliability Modeling and Evaluation, 2016, pp 321-340 from Springer

Abstract: Abstract In this chapter, we present a novel state space exploration method for distribution automation power grids built on top of an analytical survivability model. Our survivability model-based approach enables efficient state space exploration in a principled way using random-greedy heuristic strategies. The proposed heuristic strategies aim to maximize survivability under budget constraints, accounting for cable undergrounding and tree trimming costs, with load constraints per feeder line. The heuristics are inspired by the analytical results of optimal strategies for simpler versions of the allocation problem. Finally, we parameterize our models using historical data of recent large storms. We have looked into the named storms that occurred during the 2012 Atlantic hurricane season as provided by the U.S. Government National Hurricane Center and numerically evaluated the proposed heuristics with data derived from our abstraction of the Con Edison overhead distribution power grid in Westchester county.

Keywords: Distribution Network Automation; Random-greedy Heuristic; Tree Trimming; Feed Line; Westchester County (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-319-30599-8_12

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DOI: 10.1007/978-3-319-30599-8_12

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