Real-time coordinated operation of power and electric ride systems

Abstract

A computer system for real-time coordinated operation of power distribution systems and electric vehicles accesses vehicle location information for one or more vehicles. Additionally, the system accesses charging station locations for one or more charging stations within a power distribution system. The computer system also accesses power distribution information describing voltage and/or current flow limits for the power distribution system. Further, the computer system routes a vehicle selected from the one or more vehicles to a first charging station location for charging, wherein the routing of the vehicle accounts for a current battery charge level of the vehicle and the power distribution information.

What is claimed is: 
     
         1 . A computer system for real-time coordinated operation of power distribution systems and electric vehicles, comprising:
 one or more processors; and   one or more computer-readable media having stored thereon executable instructions that when executed by the one or more processors configure the computer system to:
 access vehicle location information for one or more vehicles; 
 access charging station locations for one or more charging stations within a power distribution system; 
 access power distribution information describing voltage and/or current flow limits for the power distribution system; and 
 route a vehicle selected from the one or more vehicles to a first charging station location for charging, wherein the routing of the vehicle accounts for a current battery charge level of the vehicle and the power distribution information. 
   
     
     
         2 . The computer system as recited in  claim 1 , wherein the executable instructions include instructions that are executable to configure the computer system to display a map, on a computer interface, wherein the map comprises a visual indication of a route to the first charging station location. 
     
     
         3 . The computer system as recited in  claim 1 , wherein the vehicle location information and the power distribution system are modelled with two interdependent graphs. 
     
     
         4 . The computer system as recited in  claim 1 , wherein at least one of the one or more vehicles comprises an autonomous electric vehicle. 
     
     
         5 . The computer system as recited in  claim 4 , wherein the executable instructions for routing the vehicle selected from the one or more vehicles to the first charging station location for charging further include instructions that are executable to configure the computer system to:
 send a communication to the autonomous electric vehicle that causes the autonomous electric vehicle to travel to the first charging station location for charging.   
     
     
         6 . The computer system as recited in  claim 1 , wherein the vehicle location information comprises traffic information. 
     
     
         7 . The computer system as recited in  claim 1 , wherein the executable instructions for routing the vehicle selected from the one or more vehicles to the first charging station location for charging further include instructions that are executable to configure the computer system to:
 process, with a deep reinforcement learning algorithm, at least one of the following: the vehicle location information, the charging station locations, and the power distribution information.   
     
     
         8 . The computer system as recited in  claim 7 , wherein the executable instructions include instructions that are executable to configure the computer system to form a diamond-shape polyhedron for the deep reinforcement learning algorithm, wherein the diamond-shape polyhedron provides feasibility checks for solutions from the deep reinforcement learning algorithm. 
     
     
         9 . The computer system as recited in  claim 1 , wherein the executable instructions include instructions that are executable to configure the computer system to receive location information for one or more passengers hailing rides from the one or more vehicles. 
     
     
         10 . The computer system as recited in  claim 9 , wherein the executable instructions for routing the vehicle selected from the one or more vehicles to the first charging station location for charging further include instructions that are executable to configure the computer system to:
 process, with a deep reinforcement learning algorithm, at least one of the following: the vehicle location information, the charging station locations, the power distribution information, and the location information for the one or more passengers hailing rides.   
     
     
         11 . A computer-implemented method, executed on one or more processors, for real-time coordinated operation of power distribution systems and electric vehicles, comprising:
 accessing vehicle location information for one or more vehicles;   accessing charging station locations for one or more charging stations within a power distribution system;   accessing power distribution information describing voltage and/or current flow limits for the power distribution system; and   routing a vehicle selected from the one or more vehicles to a first charging station location for charging, wherein the routing of the vehicle accounts for a current battery charge level of the vehicle and the power distribution information.   
     
     
         12 . The computer-implemented method as recited in  claim 11 , further comprising displaying a map, on a computer interface, wherein the map comprises a visual indication of a route to the first charging station location. 
     
     
         13 . The computer-implemented method as recited in  claim 11 , wherein the vehicle location information and the power distribution system are modelled with two interdependent graphs. 
     
     
         14 . The computer-implemented method as recited in  claim 11 , wherein at least one of the one or more vehicles comprises an autonomous electric vehicle. 
     
     
         15 . The computer-implemented method as recited in  claim 14 , wherein routing the vehicle selected from the one or more vehicles to the first charging station location for charging further comprises:
 sending a communication to the autonomous electric vehicle that causes the autonomous electric vehicle to travel to the first charging station location for charging.   
     
     
         16 . The computer-implemented method as recited in  claim 11 , wherein the vehicle location information comprises traffic information. 
     
     
         17 . The computer-implemented method as recited in  claim 11 , wherein routing the vehicle selected from the one or more vehicles to the first charging station location for charging further comprises processing, with a deep reinforcement learning algorithm, at least one of the following: the vehicle location information, the charging station locations, and the power distribution information. 
     
     
         18 . The computer-implemented method as recited in  claim 17 , further comprising forming a diamond-shape polyhedron for the deep reinforcement learning algorithm, wherein the diamond-shape polyhedron provides feasibility checks for solutions from the deep reinforcement learning algorithm. 
     
     
         19 . The computer-implemented method as recited in  claim 11 , further comprising configuring the computer system to receive location information for one or more passengers hailing rides from the one or more vehicles. 
     
     
         20 . The computer-implemented method as recited in  claim 19 , wherein routing the vehicle selected from the one or more vehicles to the first charging station location for charging further comprises:
 processing, with a deep reinforcement learning algorithm, at least one of the following: the vehicle location information, the charging station locations, the power distribution information, and the location information for the one or more passengers hailing rides.