Smart grid communication assessment and co-simulation tool

• US 10,382,285 B2
• Filed: 08/09/2012
• Issued: 08/13/2019
• Est. Priority Date: 08/25/2011
• Status: Active Grant

• Current Assignee: Siemens Industry Incorporated (Siemens AG)
• Original Assignee: Siemens Industry Incorporated (Siemens AG)
• Inventors: Patel, Amar H., Aparicio, Juan, Tas, Nazif Cihan, Loiacono, Michael T., Rosca, Justinian
• Primary Examiner(s): Chad, Aniss
• Assistant Examiner(s): Cothran, Bernard E
• Application Number:
  US13/570,493
• Publication Number:
  US 20130060553A1
• Time in Patent Office: 2,560 Days
• Field of Search: None
• CPC Class Codes: G01D 2204/45 Utility meters networked together within a single building
• CPC Class Codes: G01D 2204/47 Methods for determining the topology or arrangement of meters in a network
• CPC Class Codes: G01R 21/00 Arrangements for measuring electric power or power factor G01R7/12 takes precedence
• CPC Class Codes: G01R 21/06 by measuring current and voltage G01R21/08 - G01R21/133 take precedence
• CPC Class Codes: G06F 2119/06 Power analysis or power optimisation
• CPC Class Codes: G06F 30/13 Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: H04L 41/145 involving simulating, designing, planning or modelling of a network
• CPC Class Codes: Y02B 90/20 Smart grids as enabling technology in buildings sector smart grids supporting the management or operation of end-user stationary applications in general, or like technologies with no associated climate change mitigation effect Y04S20/00
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y04S 10/30 State monitoring, e.g. fault, temperature monitoring, insulator monitoring, corona discharge
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 20/30 Smart metering, e.g. specially adapted for remote reading

Abstract

Systems and methods are provided for modeling and simulating a communication network operating under at least one communication protocol, which supports a Smart Grid electricity network. Communication performance data of the communication network are generated by a processor based on operating behavior of the Smart Grid with a plurality of assets under a first condition. Devices in the Smart grid are grouped in bins for rapid modeling. One or more different configurations of the communication network are entered into the processor and related performance data is also generated. Network configurations are compared based on the generated performance data which may include end-to-end delay and reception rate. Processor based systems to perform modeling methods are also provided.

Claims

1. A method of modeling a smart grid communication system, comprising:

receiving, at a processor, a configuration of an electrical utility network to simulate a plurality of electricity power assets;

generating, by the processor, a topographical model of a geography including terrain and elevation data, wherein the topographical model comprises path loss information relating to signal attenuation of a wireless channel as a function of distance for the wireless channel with respect to one or more aspects of the terrain and elevation data;

receiving, at the processor, a first configuration of a network of communication devices in the geography, wherein the first configuration identifies at least one of a plurality of communication protocols and at least one smart grid application disposed on the communication devices; and

generating, by the processor, a first set of simulated communication data based on an operating behavior of the plurality of electricity power assets over a period of time under a first condition and based on the path loss information for the wireless channel in the topographical model, wherein the first set of simulated communication data represents a network performance of the first configuration of the network of communication devices under the first condition, wherein the network performance is based on a wireless communication characteristic of a communication link between the network of communication devices and a communication infrastructure device comprising at least one of;

latency, jitter, packet loss, transmission range, signal-to-noise ratio (SNR), and reception rate,

constructing a scoring index from raw statistics relating to a smart grid application, supported by the smart grid communications system, the raw statistics comprising latency or reception rate, wherein the scoring index is indicative of the successfulness of an associated configuration of the smart grid communications system for supporting the application;

wherein the processor creates a model of a smart grid communication system based on the path loss information for a wireless channel with respect to the one or more aspects of the terrain and elevation data based at least in part on the constructed scoring index; and

visualizing differences between the first configuration and other configurations based on the scoring index of each configuration.

2. The method of claim 1, further comprising:

receiving, at the processor, a second configuration of a network of communication devices in the geography, wherein the second configuration identifies at least one of a plurality of communication protocols and at least one smart grid application disposed on the communication devices; and

generating, by the processor, a second set of simulated communication data based on an operating behavior of the plurality of electrical power assets over a period of time under the first condition and based on the topographical model, wherein the second set of communication data represents a network performance of the second configuration of the network of communication devices under the first condition, and the second set of simulated communication data comprises a second index score.

3. The method of claim 2, further comprising:

comparing the network performance of the first configuration of the network of communication devices with the network performance of the second configuration of the network of communication devices.

4. The method of claim 2, wherein the communication protocol for the first configuration is different from the communication protocol for the second configuration.

5. The method of claim 1, wherein the at least one smart grid application is from the group consisting of Advanced Meter Reading, Remote connect/disconnect, Outage detection/last gasp, Feeder automation (FLISR), Feeder automation (NOP/load balancing), Volt/VAR optimization, FCI Telemetry, Voltage regulator bank control, Transformer monitoring, Substation RTU connectivity, Demand response—

baselining and Demand response—

load control.

6. The method of claim 1, wherein the first configuration of the network of communication devices includes a first plurality of Smart Meters which is part of a second plurality of Smart Meters and wherein the first plurality of Smart Meters is applied by the processor as representing the second plurality of Smart Meters in a discrete event simulation.

7. The method of claim 1, wherein the communication infrastructure device comprises one or more towers, one or more controllers, one or more concentration points, and one or more access points.

8. A system to model a smart grid communication system, comprising:

a memory to store data and computer executable instructions;

a processor to execute the computer executable instructions, wherein the computer executable instructions comprise;

receiving, at the processor, a configuration of an electrical utility network to simulate a plurality of electricity power assets;

generating a topographical model with terrain and elevation data of a geography, wherein the topographical model comprises path loss information relating to signal attenuation of a wireless channel as a function of distance for the wireless channel with respect to one or more aspects of the terrain and elevation data;

receiving, at the processor, a first configuration of a network of communication devices in the geography, wherein the first configuration identifies at least one of a plurality of communication protocols and at least one smart grid application disposed on the communication devices; and

generating a first set of simulated communication data based on an operating behavior of the plurality of electricity power assets over a period of time under a first condition and based on the path loss information for the wireless channel in the topographical model, wherein the first set of communication data represents a network performance of the first configuration of the network of communication devices under the first condition, wherein the network performance is based on a wireless communication characteristic of a communication link between the network of communication devices and a communication infrastructure device,

constructing a scoring index from raw statistics relating to a smart grid application supported by the smart grid communications system, the raw statistics comprising latency or reception rate, wherein the scoring index is indicative of the successfulness of the network performance of the first configuration of the smart grid communications system for supporting the application,

wherein the processor creates a model of a smart grid communication system based on the path loss information for a wireless channel with respect to the one or more aspects of the terrain and elevation data based at least in part on the constructed scoring index; and

visualizing differences between the first configuration and other configurations based on the scoring index of each configuration.

9. The system of claim 8, wherein the computer executable instructions further comprise:

receiving, at the processor, a second configuration of a network of communication devices in the geography, wherein the second configuration identifies at least one of a plurality of communication protocols and at least one smart grid application; and

generating a second set of simulated communication data based on an operating behavior of the plurality of electrical power assets over a period of time under the first condition and based on the topographical model, wherein the second set of communication data represents a network performance of the second configuration of the network of communication devices under the first condition, and the second set of simulated communication data comprises a second index score.

10. The system of claim 9, wherein the computer executable instructions further comprise:

comparing the network performance of the first configuration of the network of communication devices with the network performance of the second configuration of the network of communication devices based on the first index score and the second index score.

11. The system of claim 9, wherein the communication protocol for the first configuration is different from the communication protocol for the second configuration.

12. The system of claim 8, wherein the at least one smart grid application comprises:

Advanced Meter Reading, Remote connect/disconnect, Outage detection/last gasp, Feeder automation (FLISR), Feeder automation (NOP/load balancing), Volt/VAR optimization, FCI Telemetry, Voltage regulator bank control, Transformer monitoring, Substation RTU connectivity, Demand response—

baselining and Demand response—

load control.

13. The system of claim 8, wherein the first configuration of the network of communication devices includes a first plurality of Smart Meters which is part of a second plurality of Smart Meters and wherein the first plurality of Smart Meters is applied by the processor as representing the second plurality of Smart Meters in a discrete event simulation.

14. A method for simultaneously simulating a plurality of smart grid applications under a plurality of configurations for an electrical utility network and a smart grid communication system in a geographic area, the method comprising;

receiving, at a processor, topology information of a plurality of smart field devices of the electrical utility network, wherein the topology information comprises path loss information relating to signal attenuation of a wireless channel as a function of distance for the wireless channel with respect to one or more aspects of the terrain and elevation data;

receiving, at the processor, a terrain and elevation data of the geographic area;

receiving, at the processor, a communication specification for the plurality of smart field devices;

simultaneously simulating the operation of the plurality of smart grid applications and communication system technology for each device in the electrical utility network, based on the topology information and the terrain and elevation data topographical model;

determining performance statistics based on a quality of a wireless communication link from each of the plurality of smart field devices to a communication infrastructure device of the smart grid communication system;

producing visualization information of each of the wireless communication links between the plurality of smart field devices and the smart grid communication system;

constructing a scoring index from raw statistics relating to a smart grid application supported by the communication specification, the raw statistics comprising latency or reception rate, wherein the scoring index is indicative of the successfulness of the communication specification of the smart grid communications system for supporting the application;

creating a model of a smart grid communication system based on the path loss information for a wireless channel with respect to the one or more aspects of the terrain and elevation data based at least in part on the constructed scoring index of an associated simulation; and

visualizing differences between the configurations based on the scoring index of each configuration.

15. The method of claim 14, wherein the performance statistics comprise one or more of a latency, a packet loss, and reception rate.

16. The method of claim 14, wherein the communication specification comprises one or more of a power level, a frequency, and a modulation.

17. The method of claim 14, wherein the smart grid applications comprise a first class formed by one packet applications and a second class formed by protocol applications.

18. The method of claim 14, wherein each smart grid application used in the simulation uses a different scoring formula for providing the score.

19. The method of claim 14, wherein the communication infrastructure device comprises one or more towers, one or more controller, one or more concentration points, and one or more access points.