Aggregating Multi-OEM Electric Vehicle Loads for Demand Response
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Solution Overview
Problem
Electric vehicles face challenges in participating in demand response programs due to their mobility and charging requirements, making it difficult to meet the criteria for demand response events.
Innovation Solution
A computer-implemented method and system for aggregating electric vehicle loads by determining original equipment manufacturer (OEM) DR event loads, comparing them to event parameters, and aggregating data from multiple OEMs to meet participation criteria, allowing for the transmission of demand response event requests to participating vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If electric vehicles participate individually in demand response events, then each vehicle can independently respond to utility needs, but the aggregated load may not meet the minimum participation criteria required by the utility system
Solution Approach 1:
The patent combines charging loads from multiple electric vehicles across different OEMs into a single aggregated load. The load aggregation module sums individual vehicle charging demands to create a collective load that meets utility-scale demand response thresholds, transforming individual insufficient loads into a sufficient aggregated resource.
Solution Approach 2:
The system creates a universal aggregation platform that works across multiple OEMs and different demand response event types. The aggregation module can combine loads from diverse vehicle sources to participate in various utility demand response programs, making the solution applicable to multiple scenarios and participants.
2Productivity
If demand response event requests are transmitted to all electric vehicles, then maximum participation is achieved, but vehicles that do not meet event parameters are included, reducing event effectiveness
Solution Approach 1:
The system performs preliminary filtering of electric vehicles before transmitting demand response event requests. The determination module evaluates each vehicle's charging status, battery level, and other parameters against event criteria in advance, identifying only those vehicles that can actually participate, thereby avoiding transmission of requests to ineligible vehicles.
Solution Approach 2:
The system uses feedback from vehicle status reports to dynamically determine participation eligibility. Vehicles periodically report their charging state and other operational parameters, and the system uses this feedback information to accurately identify which vehicles meet the current demand response event requirements before sending participation requests.
3Adaptability or versatility
If electric vehicles with mobility are used for demand response, then flexibility in location and operation is improved, but maintaining stable aggregated load for utility events becomes difficult
Solution Approach 1:
The system maintains continuous monitoring and aggregation of electric vehicle charging loads to ensure stable participation in demand response events. The aggregation module continuously sums individual vehicle loads and communicates with the utility system to maintain a stable, predictable aggregated load profile throughout the event duration, despite individual vehicle mobility.
Data Source
AI summary
A computer-implemented method for aggregating electric vehicle loads for demand response events includes receiving a demand response (DR) event request from a utility system indicative of a DR event for an area. The DR event request includes at least one event parameter for participation in the DR event. The method includes determining a first original equipment manufacturer (OEM) DR event load for the area based on the DR event request and charging data received from electric vehicles associated with a first OEM. Upon determining the first original OEM DR event load does not meet the at least one event parameter, the method includes aggregating charging data from electric vehicles associated with a second OEM with the first OEM DR event load to determine an aggregated DR load for the area.