EV Charging Controller Grid Stabilization via Dynamic Load Management
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Solution Overview
Problem
The increasing adoption of electric vehicles and energy storage systems puts a strain on existing power grids due to high simultaneous charging loads, which current EV charging stations do not automatically respond to, necessitating a system that can sense and autonomously adjust to local grid conditions to stabilize the grid.
Innovation Solution
A system comprising electricity meters and an electric vehicle charging controller that reads grid conditions and renewable energy outputs, allowing for dynamic load sharing, local load control, conservation voltage reduction, and frequency response to optimize and stabilize the grid by varying charging loads and controlling generators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of EV charging stations is increased to meet growing demand, then charging availability improves, but the strain on existing power grid infrastructure worsens
Solution Approach 1:
The patent implements dynamic load management where EV charging stations continuously monitor grid conditions (voltage, frequency, power availability) and adjust their charging operations in real-time. The controller modifies charging rates dynamically based on grid state, allowing more stations to operate simultaneously without overwhelming the grid infrastructure.
Solution Approach 2:
The system incorporates feedback mechanisms where electricity meters continuously measure grid parameters and feed this information back to the charging controller. The controller uses this feedback to autonomously adjust charging loads, ensuring grid stability while maximizing charging availability. The feedback loop enables automatic response to changing grid conditions without external intervention.
2Ease of operation
If simultaneous charging of multiple EVs is enabled to improve service capacity, then user convenience improves, but the power grid experiences excessive strain
Solution Approach 1:
The patent applies partial action by enabling multiple EVs to charge simultaneously at reduced rates rather than blocking charging entirely or allowing full-power charging. The controller distributes available power across multiple vehicles, providing partial charging service to many users instead of full service to fewer users, thus improving overall service capacity while managing grid load.
Solution Approach 2:
The system changes operating parameters (charging current, voltage levels, power allocation) dynamically based on grid conditions. When grid capacity is limited, the controller adjusts charging parameters to reduce total load while maintaining service to multiple vehicles. This parameter adaptation allows the system to balance service capacity with grid承受能力.
3Device complexity
If EV charging stations operate autonomously without grid coordination, then system simplicity improves, but grid stabilization capability deteriorates
Solution Approach 1:
The patent implements self-service through autonomous charging stations that independently monitor grid conditions and adjust their own operations. Each station is equipped with measurement capabilities and control logic that enables it to autonomously respond to grid states without requiring complex external coordination systems. This self-service approach maintains relative system simplicity while achieving grid stabilization.
Data Source
AI summary
A system for generating a local autonomous response to a condition of an electric grid by electric vehicle charging stations, comprising: a first electricity meter for reading current, frequency, or voltage from a first electricity supply line to one electric vehicle charging station; a second electricity meter for reading an electric current, frequency, or voltage from the electric grid supplying the plurality of electric vehicle charging stations; a third electricity meter for reading current, frequency, or voltage from a third electricity line from one or more renewable generators; and an electric vehicle charging controller operatively coupled to the first electricity meter, the second electricity meter, the third electricity meter and the electric vehicle charging stations and operable to obtain readings from the first electricity meter, the second electricity meter and the third electricity meter and to control the electric vehicle charging stations based on the obtained readings.