Electric Vehicle Grid Guidance Controller for Power Balance
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Solution Overview
Problem
Existing electric power demand and supply adjustment methods do not effectively consider the electric storage state of charge or discharge spots in responding to power requests from transmission and distribution facilities, leading to instability in power balance.
Innovation Solution
An electrical grid system with controllers to obtain and analyze power demand/supply requests, electric storage state information, and vehicle information, calculating a supply and demand satisfaction level to guide electric vehicles to charge or discharge spots, adjusting storage states to match demand, and providing incentives for timely charging/discharging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If electric power demand and supply adjustment is performed based only on storage battery performance indicators and physical distance, then user participation is encouraged, but the electric storage state of charge or discharge spots and electric power demand and supply state of the facility are not properly examined
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring the electric storage state (SOC) of charge/discharge spots and the electric power demand and supply state of the facility. The supply and demand satisfaction level calculation controller uses this feedback to dynamically adjust guidance decisions, ensuring that user participation is directed toward actions that actually stabilize the power balance while considering the current state of storage facilities.
Solution Approach 2:
The supply and demand satisfaction level calculation controller acts as an intermediary that bridges the gap between user-level actions (charging/discharging) and facility-level needs (power balance stability). It processes information from both the storage battery performance indicators and the electric storage state of charge/discharge spots, translating these into guidance decisions that satisfy both user convenience and system reliability requirements.
2Reliability
If multiple parameters including electric storage state and supply and demand satisfaction level are considered, then power balance stability is improved, but system complexity increases
Solution Approach 1:
The control system is segmented into distinct functional modules: an obtaining controller that collects data from multiple sources (storage battery performance indicators, electric storage state of charge/discharge spots, facility power state), a supply and demand satisfaction level calculation controller that processes this data, and a guidance controller that issues recommendations. This segmentation allows each module to handle specific tasks independently, reducing overall system complexity while maintaining comprehensive monitoring and control capabilities.
3Speed
If real-time monitoring of electric storage state and power demand/supply state is implemented, then response speed to power requests is improved, but information processing requirements and system complexity increase
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and pre-calculating the supply and demand satisfaction level based on current electric storage state and power demand/supply state. This allows the guidance controller to immediately issue recommendations when power balance stabilization is needed, without requiring complex real-time calculations at the moment of decision, thus improving response speed while managing information processing requirements.
Data Source
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AI summary
The herein disclosed electrical grid system includes: a first obtaining controller that obtains the electric power demand or supply request information from the electric power transmission and distribution facility; a second obtaining controller that obtains an electric storage state information; a third obtaining controller that obtains a vehicle information of an electric vehicle; a supply and demand satisfaction level calculation controller that calculates a supply and demand satisfaction level based on the electric power demand or supply request information; a selection controller that selects an electric vehicle to be guided to the charge or discharge spot based on the vehicle information obtained by the third obtaining controller and the supply and demand satisfaction level calculated by the supply and demand satisfaction level calculation controller; and a communication controller that sends a guide information to the selected electric vehicle.