EV Power Adjustment Planning With DR Incentive Scheduling
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Solution Overview
Problem
Existing power management systems for electrified vehicles lack incentives to encourage participation in power adjustments within the power network, leading to inefficient power distribution.
Innovation Solution
A server-managed system that predicts power supply-demand balance and presents users with facility use plans that include vehicle participation in demand response (DR) activities, offering incentives for participation, such as bonuses for facility and public transportation use, to increase vehicle involvement in DR.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a large number of electrified vehicles are connected to charge/discharge stands for power adjustment, then power adjustment efficiency is improved, but user participation incentive is insufficient
Solution Approach 1:
The server acts as an intermediary between the power network and users by automatically generating optimized facility use plans that incorporate DR participation. The server mediates the complex interaction between power adjustment requirements and user facility usage, presenting users with pre-calculated optimal plans rather than requiring them to manually coordinate their vehicle usage with DR events.
Solution Approach 2:
The system implements feedback by providing users with information about upcoming DR events and the associated incentives through facility use plans. This feedback loop allows users to make informed decisions about their vehicle usage, seeing the direct benefit (incentives) of participating in DR activities, which in turn increases overall participation rates.
2Productivity
If incentives are provided to users for DR participation, then vehicle participation in DR is improved, but system complexity increases
Solution Approach 1:
The system merges the facility reservation function with the DR participation management function into a single integrated process. By combining these functions, the server can simultaneously handle facility bookings and DR coordination, reducing the need for separate systems and interfaces while increasing vehicle participation through unified incentive presentation.
Solution Approach 2:
The server automatically generates facility use plans optimized for DR participation without requiring users to manually configure their vehicles or coordinate with DR events. This self-service approach simplifies the user interface while maintaining complex backend logic for optimizing participation rates and managing incentives.
3Productivity
If facility use plans are optimized for DR participation, then power adjustment efficiency is improved, but ease of facility reservation is reduced
Solution Approach 1:
The server performs preliminary actions by pre-calculating optimized facility use plans that incorporate DR participation opportunities before users make reservations. By preparing these plans in advance with embedded incentive information, the system enables users to make informed decisions without complex real-time calculations, maintaining reservation simplicity while optimizing for power adjustment efficiency.
Data Source
AI summary
A server manages power adjustment resources electrically connected to a power network. The power adjustment resources include power equipment installed in a facility and configured to supply power from a vehicle to the power network and charge power from the power network to the vehicle. When reservation information for using the facility is received from a user, the server predicts a power supply-demand balance in the power network on a reserved date and time of use of the facility. When a DR for adjusting the power supply-demand balance is predicted to be performed on the reserved date and time of use, the server prepares a use plan for the facility so as to include the vehicle participating in the DR using the power equipment. The server gives an incentive to the user when the user accepts the use plan.