Optimal Load Shedding in Electricity Grids with Renewable Sources via Message Passing. (February 2017)

• Record Type: Journal Article
• Authors: Harrison, Elizabeth; Saad, David; Wong, K.Y. Michael
• Is Part Of: Energy procedia. Volume 107(2017)
• Page Start: 101
• Page End: 108
• Publication Date: 2017-02
• Subjects: Electricity distribution -- load shedding -- message passing -- networks -- optimisation -- power flow -- renewable energy -- uncertainty; Power resources -- Congresses; Power resources -- Periodicals; Power resources; Conference proceedings; Periodicals; 333.7905
• DOI: 10.1016/j.egypro.2016.12.139
• Languages: English
• ISSNs: 1876-6102

Abstract

Abstract: The increased penetration of volatile and intermittent renewable energy sources challenges existing power-distribution methods as current dispatch methods were not designed to consider high levels of volatility. We suggest a principled algorithm called message passing, which complements existing techniques. It is based on statistical physics methodology and passes probabilistic messages locally to find the approximate global optimal solution for a given objective function. The computational complexity of the algorithm increases linearly with the system size, allowing one to solve large-scale problems. We show how message passing considers fluctuations effectively and prioritise consumers in the event of insufficient resource. We demonstrate the efficacy of the algorithm in managing load-shedding and power-distribution on synthetic benchmark IEEE data and discuss the role of weights in the trade-off between minimising load-shedding and transmission costs.