US 12,111,821 B2
Systems and methods for optimal synchrophasor data recovery
Mohammad Razeghi-Jahromi, Cary, NC (US); David Lee Coats, Apex, NC (US); and James D. Stoupis, Raleigh, NC (US)
Assigned to ABB Schweiz AG, Baden (CH)
Filed by ABB Schweiz AG, Baden (CH)
Filed on Jul. 22, 2021, as Appl. No. 17/382,578.
Prior Publication US 2023/0036843 A1, Feb. 2, 2023
Int. Cl. G06F 16/23 (2019.01); G01R 25/00 (2006.01)
CPC G06F 16/2379 (2019.01) [G01R 25/00 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method for recovering missing phase measurement unit (PMU) measurements from a plurality of PMUs that are spread across an electrical power system, comprising:
receiving a plurality of obtained PMU measurements from the plurality of PMUs, wherein each of the plurality of obtained PMU measurements is associated with a time stamp and a sensor reading corresponding to an electrical characteristic;
populating a PMU dataset based on the plurality of obtained PMU measurements;
determining a plurality of missing entries within the PMU dataset, wherein each of the plurality of missing entries indicates a missing PMU measurement within the PMU dataset at a particular time;
determining a plurality of substitute entries for the plurality of missing entries based on an optimization algorithm that determines differences associated with a missing entry, of the plurality of missing entries, and at least a first set of PMU measurements, of the plurality of obtained PMU measurements, that are taken immediately prior to the missing entry;
inserting the plurality of substitute entries into the PMU dataset to generate a new PMU dataset;
calculating a current state for the electrical power system using the new PMU dataset; and
providing the current state to a power generation system of the electrical power system, wherein the power generation system increases or decreases power provided by the electrical power system based on the current state,
wherein the PMU dataset is a matrix indicating the plurality of obtained PMU measurements and the plurality of missing entries, and wherein determining the plurality of substitute entries comprises:
using a column stacking vector and a total variation (TV) algorithm to determine a TV norm definition associated with the plurality of obtained PMU measurements and the plurality of missing entries.