Unit Commitment using Nearest Neighbor as a Short-Term Proxy

2016/11/30 by Gal Dalal, Dalal, Gal, Elad Gilboa +5 · 1 citation
Engineering · #Power System Optimization and Stability #Electric Power System Optimization #Optimal Power Flow Distribution

paper · pdf · doi:10.48550/arxiv.1611.10215

Abstract

We devise the Unit Commitment Nearest Neighbor (UCNN) algorithm to be used as a proxy for quickly approximating outcomes of short-term decisions, to make tractable hierarchical long-term assessment and planning for large power systems. Experimental results on updated versions of IEEE-RTS79 and IEEE-RTS96 show high accuracy measured on operational cost, achieved in runtimes that are lower in several orders of magnitude than the traditional approach.

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• Supervised Learning for Optimal Power Flow as a Real-Time Proxy

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