Charging Station Power Control via Dynamic Limit Adjustment
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Solution Overview
Problem
Existing charging station systems fail to effectively prevent power grid overload due to sudden drops in power supply capability, leading to potential grid overload conditions when multiple charging devices demand simultaneous high power output.
Innovation Solution
A power control method and apparatus for charging stations that utilize an integrated controller and target charging devices to dynamically adjust power limits based on energy storage and grid capabilities, ensuring power supply does not exceed capacity, thereby preventing overload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple charging devices operate at full power simultaneously, then charging efficiency and user satisfaction are improved, but power grid overload risk increases when sudden power supply drops occur
Solution Approach 1:
The system performs preliminary determination of power limits for each charging device based on current power supply capability before actual charging operations. This advance preparation ensures that when sudden power drops occur, the charging devices are already configured with appropriate power limits to prevent grid overload, thus resolving the contradiction between maintaining high charging efficiency and ensuring grid safety.
Solution Approach 2:
The system continuously monitors power supply capability parameters from the power grid and energy storage system, and dynamically adjusts power limits for charging devices based on this feedback. This real-time feedback mechanism allows the system to respond to sudden power supply drops by reducing power limits promptly, preventing grid overload while maximizing charging efficiency under normal conditions.
2Speed
If power limits are dynamically adjusted in real-time, then response speed to power supply drops is improved, but system complexity increases
Solution Approach 1:
The control system is segmented into multiple independent charging devices, each equipped with its own controller that autonomously determines power limits based on received power supply capability parameters. This segmentation allows each device to respond independently and rapidly to power supply changes without requiring complex centralized control, thus achieving fast response speed while keeping individual device complexity low.
Solution Approach 2:
Each charging device's controller autonomously determines and adjusts its own power limit based on power supply capability parameters received from the integrated controller. This self-service mechanism eliminates the need for complex centralized real-time control, allowing each device to independently respond to power supply changes, thereby achieving fast response speed with minimal system complexity.
3Measurement precision
If power supply capability parameters are continuously monitored, then accuracy of overload prevention is improved, but energy consumption increases
Solution Approach 1:
The system merges the monitoring function into the existing periodic communication protocol between the integrated controller and charging devices. Power supply capability parameters are transmitted during regular control cycles, combining the monitoring function with existing communication operations. This approach achieves accurate detection of power supply capability without requiring separate continuous monitoring systems, thus minimizing additional energy consumption while maintaining high measurement precision.
Data Source
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AI summary
The present disclosure provides a power control method for a charging station and a power control apparatus and system of a charging station, and belongs to the field of charging station control. The power control method includes: acquiring a power supply capability parameter broadcasted by the energy storage system, a power supply capability parameter broadcasted by the power grid system, and a current power demand broadcasted by each target charging device; calculating a first maximum available power of the charging station based on the power supply capability parameter of the energy storage system and the power supply capability parameter of the power grid system; determining a first power limit of each target charging device based on the first maximum available power of the charging station, the current power demand broadcasted by each target charging device, and a predetermined allocation rule; and broadcasting the first maximum available power of the charging station and the first power limit of each target charging device to each target charging device, so that each target charging device performs power output based on the first power limit, determines whether a sudden drop in a power supply capability occurs, and reduces a power limit of the target charging device to a second power limit when the sudden drop in the power supply capability occurs. In the present disclosure, power grid overload can be effectively avoided.