Smart Grid Communication Assessment Tool Simulation Segmentation
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Solution Overview
Problem
Current simulation models of Smart Grid communications require long simulation times and do not adequately consider environmental characteristics like terrain and population density, leading to unrealistic results and inefficiencies in evaluating communication protocols for various Smart Grid applications.
Innovation Solution
The development of the Smart Grid Communications Assessment Tool (SG-CAT) using a discrete event simulator like OPNET Modeler, which simulates Smart Grid applications under various geographical and topological conditions, allowing for the evaluation of communication protocols and network performance across different Smart Grid applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current simulation models of Smart Grid communications are used to include large numbers of users, then the simulation results would be valuable to identify robustness issues, but the simulation times become very long
Solution Approach 1:
The patent segments the large-scale Smart Grid communication network into multiple smaller geographical zones or regions. Each zone is simulated independently with its own set of users and communication protocols, allowing parallel processing and significantly reducing overall simulation time while maintaining the ability to identify robustness issues across the entire network
Solution Approach 2:
The patent implements a multi-phase simulation approach where critical communication protocols and network configurations are tested first with representative user samples, then progressively expanded to larger user bases. This allows identification of robustness issues in critical paths without requiring full-scale simulation of all users simultaneously
2Measurement precision
If current simulation models are used without considering environmental characteristics, then simulation speed is maintained, but the results do not capture realistic conditions such as terrain profile and population density
Solution Approach 1:
The patent incorporates environmental characteristics such as terrain profiles, population density maps, and geographical data into the simulation model setup phase before actual communication simulations run. Pre-processing algorithms generate realistic user distribution patterns and communication channel conditions based on these environmental factors, allowing accurate simulations without adding complexity during the actual communication protocol testing
Solution Approach 2:
The patent introduces an intermediary layer that translates environmental characteristics (terrain, population density) into simulation-relevant parameters such as user location distributions, signal propagation conditions, and network topology constraints. This intermediary processing layer accurately captures realistic conditions without requiring direct integration of complex geographical data during simulation execution
Data Source
AI summary
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.