Williams-Pyro, Inc.

Christopher D Pylant

Robert J Harris

Christopher M Stimek

Peter C Gardner

Matthew C Ragsdale

A system and method of dynamic distributed control with network topology discovery and load discovery in an isolated distribution grid is provided. Source modules connect to AC generators and output high voltage DC power on ports. Load modules receive the high voltage DC power on connected ports and convert the DC power to AC power. Loads are connected to AC outlets on load modules. A source module discovers the connected network topology through a series of states following the reading of a configuration file and creates an adjacency map. Each module has a microprocessor. Each microprocessor runs load discovery algorithms using its adjacency map as input. Load changes are detected and adjacency maps are amended to maintain consistency across all adjacency maps. Priority is afforded to desired loads when demand exceeds capacity.

System and method of discovering and prioritizing loads in an isolated power grid with dynamic distributed control

A system and method of dynamic distributed control with network topology discovery in an isolated distribution grid is provided. Source modules connect to AC generators and output high voltage DC power on ports. Load modules receive the high voltage DC power on connected ports and convert the DC power to AC power. Loads are connected to AC outlets on load modules. A source module discovers the connected network topology through a series of states following the reading of a configuration file. Each module has a microprocessor. Each microprocessor runs control algorithms using its adjacency map as input. Respective adjacency maps are monitored, compared, and amended as needed to maintain consistency across all adjacency maps, thus ensuring consistent distributed control of the power distribution grid.

System and method of dynamic and distributed control with topology discovery in an isolated power grid

A method is provided, which optimizes a represented route of a traveling object. The method herein provides route representation compatible with various sampling protocols and accounts for high velocity states and near stand still states. In addition, route representation can be optimized for a given number of waypoints, accommodating a maximum waypoint storage file size. Waypoints are captured and significance scores are calculated and compared. The least significant waypoint is discarded in favor of a subsequently captured waypoint and the significance of waypoints surrounding the discarded waypoint are recalculated. By quantified waypoint selection the user can obtain an optimized route representation with quantified errors from a manageable number of waypoints.

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Arlington, TX, United States of America

Christopher D Pylant