Systems and methods for coordinating signal injections to understand and maintain orthogonality among signal injections patterns in utility grids
Methods and systems for implementing experimental trials on utility grids. The variation of grid parameters are coordinated to create periods of time and areas of space from within which the variations of grid parameters do not overlap, allowing sensor data within those periods of time and areas of space to be associated with particular variations in grid parameters. This associated data can in turn be used to improve models of sensor response and utility grid behavior.
1. A method for delivering coordinated signal injections into a utility grid, comprising:
receiving spatial and temporal reaches for a plurality of signal injections, wherein the temporal reach includes a duration of one of the signal injections and an expected duration of a response to the one signal injection;
selecting times and locations for the plurality of signal injections to be implemented into a utility grid such that the spatial and temporal reaches of the signal injections do not overlap; and
implementing the signal injections into the utility grid at the selected times and locations,
wherein the signal injections are implemented by changing the state of grid controls,
wherein the grid controls are at least one of capacitor banks, load tap changers, and inverters.
2. The method of claim 1 , further comprising collecting data from sensors along the utility grid.
3. The method of claim 2 , further comprising associating the collected data from sensors with signal injections, based on the time and location of the sensor data and the spatial and temporal reaches of the signal injection.
4. The method of claim 1 , wherein implementing the signal injections is dispatching grid personnel to perform a task.
5. The method of claim 1 , wherein a graphical modeling technique is used for selecting the times and locations the plurality of signal injections are to be implemented.
6. The method of claim 5 , wherein the graphical modeling technique is a Bayesian Causal Network.
7. The method of claim 1 , wherein a Partially Observable Markov Decision Process is used for selecting the times and locations the plurality of signal injections are to be implemented.
8. The method of claim 1 , wherein the spatial reach is computed based on a database of utility grid response to prior signal injections.
9. The method of claim 1 , wherein the temporal reach is computed based on a database of utility grid response to prior signal injections.
10. The method of claim 1 , wherein at least some of the plurality of the signal injections are made into the utility grid simultaneously.
11. A system for making coordinated signal injections into a utility grid, comprising:
a memory configured to store spatial reaches for a plurality of signal injections;
a memory configured to store temporal reaches for the plurality of signal injections, wherein each of the temporal reaches includes a duration of one of the signal injections and an expected duration of a response to the one signal injection;
a processor configured to select a set of times and locations for signal injections within which the temporal reaches and spatial reaches are not both overlapping; and
a plurality of controls on a utility grid which implement the signal injections at the selected times and locations,
wherein the signal injections are implemented by changing the state of grid controls,
wherein the grid controls are at least one of capacitor banks, load tap changers, and inverters.
12. The system of claim 11 , further comprising a plurality of sensors along the utility grid.
13. The system of claim 12 , further comprising a processor configured to associate data from the plurality of sensors with signal injections.
14. The system of claim 11 , wherein the processor is configured to select the times and locations for signal injection using a graphical modeling technique.
15. The system of claim 11 , further comprising a processor configured to compute a spatial reach for a signal injection based on a database of grid response to prior signal injections.
16. The system of claim 11 , further comprising a processor configured to compute a temporal reach for a signal injection based on a database of grid response to prior signal injections.