Distributed EV Charging Control for Circuit Overload Prevention
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Solution Overview
Problem
The increasing number of Electric Vehicles (EVs) causes overloading in electrical power distribution networks due to high and non-stationary EV charging loads, leading to potential disruptions and the need for intelligent load management solutions that can optimize and redistribute power across multiple circuits, while also addressing communication reliability and scalability challenges.
Innovation Solution
A distributed control system using edge computing devices physically near electrical circuits, mirroring the hierarchical architecture of the electrical power distribution network, which performs dynamic optimization of power levels and load redistribution across multiple EV chargers, and includes a modular and scalable architecture with low-bandwidth communication, enabling independent control of EV charging loads and integration with existing electrical power distribution systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If EV chargers are installed in existing facilities, then EV charging capability is improved, but electrical power distribution network overloading occurs
Solution Approach 1:
The system segments the EV charging load management into multiple hierarchical levels: facility-level controllers that manage aggregate charging capacity, circuit-level controllers that monitor individual circuit loads, and charger-level controllers that adjust charging rates. This segmentation allows each level to independently manage its portion of the load, preventing any single point of failure from causing system-wide overloading while maintaining overall EV charging capability.
Solution Approach 2:
The system dynamically adjusts EV charging rates based on real-time electrical network conditions. Controllers continuously monitor circuit load levels and automatically modulate charging power delivery, increasing rates when capacity is available and reducing rates when circuits approach thermal limits. This dynamic response allows the system to adapt to changing conditions without requiring infrastructure upgrades.
2Quantity of substance
If EV charging load is concentrated on few electrical circuits, then infrastructure cost is reduced, but circuit overloading occurs
Solution Approach 1:
The system performs preliminary load analysis and circuit capacity assessment before allocating EV charging loads. Controllers pre-calculate optimal circuit assignments based on known circuit ratings and existing load profiles, distributing EV chargers across multiple circuits in advance to prevent concentration on single circuits. This preliminary planning ensures balanced load distribution while maximizing utilization of available circuit capacity.
Solution Approach 2:
The system implements continuous feedback monitoring of circuit load levels, with controllers receiving real-time data on current draw, temperature, and utilization metrics. When a circuit approaches its capacity threshold, the system automatically redistributes EV charging loads to underutilized circuits, preventing overload conditions while maintaining high overall capacity utilization across the electrical distribution system.
3Device complexity
If centralized control system is used for EV charging management, then system complexity is reduced, but communication bandwidth requirements increase
Solution Approach 1:
The control system is segmented into distributed hierarchical levels with autonomous decision-making capabilities at each tier. Facility-level controllers handle high-level charging strategy and billing, circuit-level controllers manage load allocation and circuit monitoring, and charger-level controllers execute real-time power modulation. This segmentation eliminates the need for a single centralized controller, reducing overall system complexity while minimizing communication bandwidth requirements through localized autonomous operation.
4Quantity of substance
If existing electrical power distribution network is used for EV charging, then infrastructure cost is reduced, but network overloading occurs
Solution Approach 1:
The system dynamically changes operational parameters including charging power levels, circuit load allocation, and voltage regulation settings to optimize the use of existing infrastructure capacity. By adjusting these parameters in real-time based on network conditions, the system extracts maximum usable capacity from existing electrical networks without requiring physical upgrades, while preventing overload conditions that would compromise reliability.
Data Source
AI summary
A method to scale EV charging infrastructure incrementally at low cost using a novel distributed control system. Distributed Control system comprises of a distributed network of nodal controllers and power flow sensors minoring the hierarchal architecture of electrical power distribution network of facilities and city utilities The control system optimizes the electric power flow in the electrical circuits of the charging network given the constraints imposed by the addition of EV chargers in the electrical power distribution network and by the varying activity of EV chargers in the structure.