Resilient Off-Grid Microgrids: Capacity Planning and N-1 Security

• Published in: IEEE transactions on smart grid Vol. 9; no. 6; pp. 6511 - 6521
• Main Authors: Chalil Madathil, Sreenath, Yamangil, Emre, Nagarajan, Harsha, Barnes, Arthur, Bent, Russell, Backhaus, Scott, Mason, Scott J., Mashayekh, Salman, Stadler, Michael
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01-11-2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Communities; Computational modeling; decomposition algorithm; Electric industries; Electric power grids; Evolution; Generators; Mathematical model; mathematical programming; Microgrids; Off-grid microgrid; Power flow; POWER TRANSMISSION AND DISTRIBUTION; Reliability; Security; security-constrained power flow; System effectiveness
• ISSN: 1949-3053; 1949-3061
• DOI: 10.1109/TSG.2017.2715074

Over the past century the electric power industry has evolved to support the delivery of power over long distances with highly interconnected transmission systems. Despite this evolution, some remote communities are not connected to these systems. These communities rely on small, disconnected distribution systems, i.e., microgrids to deliver power. However, as microgrids often are not held to the same reliability standards as transmission grids, remote communities can be at risk for extended blackouts. To address this issue, we develop an optimization model and an algorithm for capacity planning and operations of microgrids that include <inline-formula> <tex-math notation="LaTeX">{N} </tex-math></inline-formula>-1 security and other practical modeling features like ac power flow physics, component efficiencies, and thermal limits. We demonstrate the computational effectiveness of our approach on two test systems; a modified version of the IEEE 13 node test feeder and a model of a distribution system in a remote community in Alaska.