Blockchain EV Charging Station Management for Peak Load Balancing
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Solution Overview
Problem
The existing electric vehicle charging station management methods lack transparency and fail to ensure that electric vehicles are charged and discharged according to scheduled results, leading to peak load issues and high electricity costs due to unpredictable charging habits.
Innovation Solution
An electric vehicle charging station management method utilizing a blockchain system that maps entry and departure times, battery states, and power priorities for each vehicle, using nonlinear programming to optimize charging and discharging power distribution while adjusting purchase prices to prevent overload, ensuring transparent and efficient energy management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If all electric vehicles are charged at the same time during peak hours, then the charging speed and user convenience are improved, but the peak load becomes excessively high and standby capacity decreases
Solution Approach 1:
The system performs preliminary scheduling of charging tasks before peak hours by mapping entry and departure times to time panes in a scheduling cycle. Charging priorities are calculated in advance based on battery states and power grid demand, allowing the system to prepare charging schedules that distribute load away from peak periods while ensuring vehicles are charged by their departure times.
Solution Approach 2:
The system dynamically adjusts charging priorities and power distribution based on real-time conditions including current battery state of charge, power grid demand, and time of day. The blockchain system continuously updates scheduling decisions to balance user convenience with grid load management, transitioning from static scheduling to adaptive dynamic scheduling.
2Ease of operation
If charging during peak hours is prioritized to meet user demand, then user satisfaction is improved, but electricity cost increases
Solution Approach 1:
The system incorporates feedback mechanisms where charging priorities are recalculated based on electricity prices, power grid demand signals, and actual charging progress. The blockchain ledger records and verifies charging transactions, providing transparent feedback to users about cost implications and scheduling decisions, enabling cost-aware charging behavior while maintaining user satisfaction.
Solution Approach 2:
The system changes scheduling parameters dynamically based on electricity price signals and grid conditions. By adjusting charging priorities, power allocation, and time pane assignments according to varying cost parameters, the system optimizes the balance between user satisfaction and electricity cost, encouraging charging during lower-cost periods without compromising user needs.
3Device complexity
If traditional centralized scheduling is used to manage charging, then system complexity is reduced, but transparency and verifiability of scheduling results are lost
Solution Approach 1:
The system segments the scheduling function into distributed components where individual charging piles and vehicles maintain their own state information in the blockchain ledger. Each participant has visibility into relevant scheduling data, creating transparency without requiring a complex centralized control system. The segmentation of information storage and verification across multiple nodes achieves transparency while keeping individual system components relatively simple.
4Power
If dynamic price adjustment is implemented to manage demand, then load balancing is improved, but system complexity increases
Solution Approach 1:
The blockchain system serves multiple functions simultaneously: it provides transparent scheduling records, verifies charging transactions, manages price signals, and coordinates load balancing. By creating a universal platform that handles these diverse functions through a single distributed ledger infrastructure, the system achieves load balancing capabilities without proportionally increasing complexity, as the same blockchain mechanism supports multiple objectives.
Data Source
AI summary
An electric vehicle charging station management method using a blockchain is provided, including the following steps: obtaining a maximum charging and a discharging electric power of each electric vehicle in each to-be-planned pane; obtaining a charging and discharging electric power of each electric vehicle in each to-be-planned pane according to electric vehicle information corresponding to the electric vehicle, at least one purchase price, at least one winning bid price, and at least one maximum charging and discharging electric power; determining whether at least one overloaded pane is provided according to a total consumed electric power of a charging station in each time pane; and adjusting the purchase price of each overloaded pane when it is determined that at least one overloaded pane is provided and re-planning the charging and discharging electric power of the electric vehicle in each to-be-planned pane until it is determined that no overloaded pane is provided.