Method for estimating power outages and restoration during natural and man-made events

摘要

A method of modeling electric supply and demand with a data processor in combination with a recordable medium, and for estimating spatial distribution of electric power outages and affected populations. A geographic area is divided into cells to form a matrix. Within the matrix, supply cells are identified as containing electric substations and demand cells are identified as including electricity customers. Demand cells of the matrix are associated with the supply cells as a function of the capacity of each of the supply cells and the proximity and/or electricity demand of each of the demand cells. The method includes estimating a power outage by applying disaster event prediction information to the matrix, and estimating power restoration using the supply and demand cell information of the matrix and standardized and historical restoration information.

主权项

1. A non-transitory recordable medium including a series of preprogrammed instructions that, when executed by a computing machine, cause the computing machine to perform the steps of modeling an electric supply and demand matrix, the steps comprising:
a. creating an electric supply and demand matrix for a geographic area, the matrix including a plurality of cells each representing an electricity service area; b. assigning each existing substation for the geographic area to one of the cells in which the each existing substation is geographically located to create supply cells; c. determining an electric demand for each of the plurality of cells to create demand cells; d. assigning each of the demand cells to one of the supply cells as a function of proximity of the demand cells and an electricity supply of each of the supply cells; e. predicting an effect on an electricity service area using disaster event information with respect to the electric supply and demand matrix; and f. creating at least one of a restoration time estimate or a restoration plan proposal using the predicted effect and the electric supply and demand matrix.