EV Charging Demand Management via Dynamic Pricing and Power Level Adjustment
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Solution Overview
Problem
The increasing adoption of electric vehicles poses a challenge for power demand management, as traditional power networks are not equipped to efficiently manage the peak power demands and variability in electric vehicle charging, leading to potential instability in power supply and demand.
Innovation Solution
An electric power demand management system that adjusts charging conditions, including levels and prices, based on a proximity degree between target and actual power usage, to optimize energy usage and participation in demand response events, thereby reducing peak demand and stabilizing the power supply.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If electric vehicle charging stations are established to meet increasing charging demands, then the availability and accessibility of charging services are improved, but the peak power demand and variability in power consumption increase, leading to potential instability in power supply
Solution Approach 1:
The charging station system dynamically adjusts charging power levels based on real-time power grid conditions, target power usage amounts, and proximity degrees. The charging power is not fixed but varies according to demand response events and grid stability requirements, allowing the system to adapt to changing conditions while maintaining both service availability and power supply stability
Solution Approach 2:
The system continuously monitors actual power usage amounts and compares them against target power usage amounts to calculate proximity degrees. This feedback mechanism enables the charging station to adjust its charging operations in response to grid conditions, ensuring that charging services remain available while preventing excessive power demand that could destabilize the power supply
2Reliability
If demand response events are implemented to reduce peak power demand, then power supply stability is improved, but charging service quality and user satisfaction may deteriorate due to reduced charging availability
Solution Approach 1:
The system changes charging parameters (power levels, pricing, availability) based on the proximity degree to target power usage amounts. When demand response events are active, the system adjusts these parameters to reduce peak demand while still providing charging services. The dynamic parameter adjustment ensures that power supply stability is maintained without completely restricting charging access, thus balancing grid stability with service quality
Solution Approach 2:
Instead of completely restricting charging during demand response events, the system applies partial action by reducing charging power to manageable levels that contribute to peak demand reduction while still providing some charging service. This partial reduction approach maintains a baseline level of service quality while achieving the power stability goals of demand response events
3Productivity
If charging prices are adjusted to manage power demand, then power demand control effectiveness is improved, but consumer costs and system complexity increase
Solution Approach 1:
The pricing system operates autonomously based on pre-defined proximity degree thresholds and demand response event status. The system automatically adjusts charging prices according to power usage patterns and grid conditions without requiring complex manual intervention or highly sophisticated pricing algorithms. This self-service approach achieves effective power demand control while keeping the pricing system relatively simple and manageable
Data Source
AI summary
The disclosure is related to managing an electric power demand in one or more electric vehicle (EV) charging stations by adjusting a charging condition including charging levels and/or charging prices. Particularly, the charging condition may be adjusted according to a proximity degree between a target power usage amount and a current/predicted power usage amount.