Smart Agent Oriented Linear Programming (AOLP) control in electric grid

In this paper, we discuss a distributed Agent Oriented Linear Programming (AOLP) decision model, where large scale electric grid is decomposed in to many sub models (sub problems) that can support prompt resource assignment, computation, and control functions necessary to restore the grid processes quickly during cascading blackouts or outages. The decomposition of an IEEE 14 bus system into various sub problems has been implemented and tested using a modified Dantzig-Wolfe (DW) approach as part of a test case to validate our model. The result looks promising to apply any agent based LP to allocate resources or alert system operators in the grid control process. We argue that our technique can offer prompt alertness to system operators in the order of 1millisecond compare to other LP approaches in the event of any failure.