Grid Usage Mapping for EV Charging Infrastructure Planning
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Solution Overview
Problem
Utilities and grid providers face challenges in planning and investing for charging infrastructure developments and upgrades due to a grid infrastructure that was not designed with mobility in mind, leading to safety issues and inefficiencies in energy provision.
Innovation Solution
A method for providing usage information of an electrical grid to grid providers through an electronic computing device, which captures input defining a geometrical map, determines power consumption of motor vehicles within that map, and transfers this information with timestamps to the provider, ensuring anonymity to protect data privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the grid infrastructure is expanded to accommodate more charging stations, then the charging capacity and coverage are improved, but the cost of infrastructure development and upgrade increases
Solution Approach 1:
The system performs preliminary analysis of power consumption data and charging demands before making infrastructure investment decisions. By determining power consumption in advance and analyzing it with timestamps, the system enables proactive planning of charging infrastructure developments, allowing providers to invest only where and when needed, thus avoiding unnecessary costs while ensuring adequate charging capacity.
Solution Approach 2:
The system establishes a feedback mechanism where power consumption data from motor vehicles is continuously collected, analyzed, and transferred to grid providers. This feedback loop enables providers to monitor charging demands in real-time and adjust infrastructure development plans accordingly, optimizing the balance between charging capacity expansion and infrastructure investment costs.
2Measurement precision
If detailed usage information is collected from vehicles, then the planning precision for infrastructure upgrade is improved, but the data privacy and security risks increase
Solution Approach 1:
The system extracts only the necessary power consumption data and charging demand information from vehicle usage, separating this essential information from other vehicle data. By determining and transferring only power consumption with timestamps and location data, the system achieves high measurement precision for infrastructure planning while minimizing data collection to what is strictly necessary, thereby reducing privacy and security risks.
Solution Approach 2:
The system applies different data processing treatments to different types of information. Power consumption data is collected with high precision for analysis, while vehicle identification information is anonymized or removed. This local quality approach ensures that each type of data receives the appropriate level of detail and protection, maintaining measurement precision where needed while safeguarding privacy where sensitive information is concerned.
Data Source
AI summary
A method for providing usage information of an electrical grid to a provider of the electrical grid involves capturing an input of the provider, the input defines a geometrical map in the electrical grid. At least one power consumption of a plurality of motor vehicles is determined in the geometrical map in a time frame, providing at least one time stamp for the at least one power consumption. The at least one power consumption with the at least one time stamp for the defined geometrical map is transferred as the usage information to the provider.