Discovering upgrade to increase capacity for supporting electrical load at particular location of power grid

A system comprising:

• at least one hardware processor;
• and
• at least one non-transitory memory storing instructions, which, when executed by the at least one hardware processor, cause the system to:
• obtain a data set that is sourced from an operator of a power grid that spans a geographic region,
• wherein the data set is captured of multiple feeders connected to a substation of the power grid,
• wherein each feeder is formed from multiple ordered segments, and
• wherein the data set includes data items provided on a per-segment basis for each feeder;
• branch the data items into respective feeder groups for the multiple feeders,
• wherein each feeder group includes data items for segments of a corresponding feeder, and
• wherein the data items for the corresponding feeder are identified based on common electrical properties;
• generate an ordered data structure based on an adjacency map for segments of a feeder group for a particular feeder by causing the system to:
• identify data items of segments within a threshold geographical distance of each other;
• identify a head segment closest to the substation of the power grid;
• and
• identify an interconnection segment including an interconnection point for an electric vehicle (EV) charging station;
• based on the ordered data structure, construct a feeder load profile that depicts load capacity for the particular feeder as a function of a distance from the substation;
• determine, based on the feeder load profile, that an available load capacity at the interconnection point is below a threshold load capacity required to support the EV charging station;
• and
• identify, based on one or more variations in the feeder load profile, one or more upgrades to the power grid that would increase the available load capacity at the interconnection point to provide the threshold load capacity required to support the EV charging station,
• wherein to identify the one or more upgrades comprises causing the system to:
• detect at least one critical point in the feeder load profile where a rate of change of load capacity values exceeds a threshold amount,
• wherein the rate of change indicates different conductor types before and after the critical point;
• and
• project that upgrading a conductor type of the interconnection segment would increase the available load capacity at the interconnection point to exceed the threshold load capacity required to support the EV charging station.

A system comprising:

• at least one hardware processor;
• and
• at least one non-transitory memory storing instructions, which, when executed by the at least one hardware processor, cause the system to:
• obtain a data set that is sourced from an operator of a power grid that spans a geographic region,
• wherein the data set is captured of multiple feeders connected to a substation of the power grid,
• wherein each feeder is formed from multiple ordered segments, and
• wherein the data set includes data items provided on a per-segment basis for each feeder;
• branch the data items into respective feeder groups for the multiple feeders,
• wherein each feeder group includes data items for segments of a corresponding feeder, and
• wherein the data items for the corresponding feeder are identified based on common electrical properties;
• generate an ordered data structure based on an adjacency map for segments of a feeder group for a particular feeder by causing the system to:
• identify data items of segments within a threshold geographical distance of each other;
• identify a head segment closest to the substation of the power grid;
• and
• identify an interconnection segment including an interconnection point for an electric vehicle (EV) charging station;
• based on the ordered data structure, construct a feeder load profile that depicts load capacity for the particular feeder as a function of a distance from the substation;
• determine, based on the feeder load profile, that an available load capacity at the interconnection point is below a threshold load capacity required to support the EV charging station;
• and
• identify, based on one or more variations in the feeder load profile, one or more upgrades to the power grid that would increase the available load capacity at the interconnection point to provide the threshold load capacity required to support the EV charging station,
• wherein to identify the one or more upgrades comprises causing the system to:
• detect a discontinuity in the feeder load profile, causing the available load capacity of the particular feeder to drop below the threshold load capacity required to support the EV charging station;
• and
• project that upgrading an electrical component supporting the particular feeder would increase the available load capacity at the interconnection point to exceed the threshold load capacity required to support the EV charging station,
• wherein the electrical component corresponds to any of:
• a fuse,
• a circuit breaker, or
• a transformer.

A non-transitory, computer-readable storage medium storing instructions recorded thereon that, when executed by at least one data processor of a system, cause the system to:

• aggregate data of a power grid into feeder groups for respective feeders,
• wherein the data is indicative of segments of the feeders and load capacities at geographic locations;
• generate an ordered data structure including entries for segments of a particular feeder of a feeder group,
• wherein a beginning entry is for a head segment closest to a substation of the power grid,
• wherein an ending entry is for an interconnection segment including an interconnection point for an electrical load of a battery storage system, and
• wherein to generate the ordered data structure comprises causing the system to:
• traverse through an adjacency map starting at the head segment by moving data of an identified segment from an unknown set to a known set;
• identify a subset of segments in the unknown set having a minimum geographic distance to a subset of segments in the known set;
• and
• update the ordered data structure to indicate adjacent segments having the minimum geographic distance,
• wherein traversing through the ordered data structure is performed iteratively and terminates when the unknown set is empty;
• generate a feeder load profile based on the ordered data structure,
• wherein the feeder load profile depicts load capacity for the particular feeder as a function of a distance from the substation;
• and
• identify, based on the feeder load profile, a change associated with the particular feeder causing an increase in available load capacity at an interconnection point to support the battery storage system.

A method comprising:

• branching data items of feeders of a power grid connected to a substation into respective groups,
• wherein each feeder comprises multiple segments, and
• wherein the data items are provided on a per-segment basis for each feeder;
• generating an ordered data structure including entries for data items of segments of a particular group for a particular feeder,
• wherein the entries are ordered based on a distance of each corresponding segment from the substation,
• wherein a beginning entry is for a head segment closest to the substation of the power grid,
• wherein a last entry corresponds to an interconnection segment including an interconnection point for an electric vehicle (EV) charging station, and
• wherein to generate the ordered data structure comprises:
• traversing through an adjacency map starting at the head segment by moving data of an identified segment from an unknown set to a known set;
• identifying a subset of segments in the unknown set having a minimum geographic distance to a subset of segments in the known set;
• and
• updating the ordered data structure to indicate adjacent segments having the minimum geographic distance,
• wherein traversing through the ordered data structure is performed iteratively and terminates when the unknown set is empty;
• constructing a feeder load profile, based on the ordered data structure, that depicts load capacity for the particular feeder as a function of a distance from the substation;
• and
• discovering, based on the feeder load profile, that an upgrade to the power grid is required to increase available load capacity at the interconnection point above a threshold load capacity required to support the EV charging station.