Islanded Microgrid Restoration Studies with Graph-Based Analysis

Ogbonnaya Bassey, Karen L. Butler-Purry

Power outages are bound to occur. The question is not usually if they will occur but how the frequency of occurrence can be minimized and how we can quickly get the grid up and running after its occurrence. One promising approach to power restoration is the use of locally available energy resources to restore the system to form isolated microgrids. In this paper, we present a black start restoration method that forms islanded microgrids after a black out. The master DGs in the formed microgrid were coordinated to work together through droop control. Several constraints, including incentive-based demand response (DR) with direct load control (DLC) and distributed generator (DG) operation constraints, were formulated and linearized to realize a mixed-integer linear programming (MILP) restoration model. To improve compactness and to ensure that the model is neither under-sized nor over-sized, a pre-processing graph analysis approach was introduced which helps to characterize the least number of restoration steps needed to optimally restore the microgrid. Studies were performed on a modified IEEE 123 node test feeder to evaluate the effects of demand response, non-dispatchable DGs, and choice of restoration steps on the quality of the restoration solution.

Knowledge Graph

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