Charge-Discharge Planning for Renewable Grid and EV Battery Stability
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Solution Overview
Problem
The fluctuating demand for electric power and unstable supply of grid power using renewable energy can lead to battery depletion and strain the power supply, necessitating a solution to stabilize grid power and enhance renewable energy utilization.
Innovation Solution
A charge/discharge planning apparatus and method that creates plans based on electric vehicle operation information, grid power demand predictions, weather forecasts, and renewable energy generation scenarios, using a control unit to simulate and evaluate multiple plans to optimize battery usage and grid power stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If renewable energy is used as an electric power source, then environmental friendliness is improved, but supply stability deteriorates
Solution Approach 1:
The patent introduces a charge/discharge planning apparatus as an intermediary system that coordinates between renewable energy sources, storage batteries, and electric vehicles. This mediator optimizes charge/discharge timing and power distribution to stabilize supply while maintaining renewable energy usage, resolving the contradiction between environmental benefits and supply reliability.
Solution Approach 2:
The system performs preliminary charge/discharge planning based on predicted power generation and demand data. By pre-arranging charge/discharge schedules for storage batteries and electric vehicles according to forecasted renewable energy availability and power demand, the system ensures supply stability before actual power fluctuations occur.
2Reliability
If more storage batteries are used to stabilize power supply, then supply reliability is improved, but device complexity increases
Solution Approach 1:
The patent makes electric vehicles serve multiple functions: they act as both transportation devices and mobile storage batteries. During daytime, electric vehicles receive charge from renewable energy; during nighttime, they discharge power to stabilize the grid. This multi-functionality reduces the need for dedicated storage battery infrastructure while maintaining supply reliability.
Solution Approach 2:
The system utilizes existing electric vehicle batteries for grid stabilization purposes, making the vehicles serve the dual purpose of their primary function and energy storage. This self-service approach avoids the need for separate storage battery systems, thereby reducing overall system complexity while improving power supply reliability.
3Reliability
If multiple charge/discharge plans are simulated and evaluated, then plan reliability is improved, but calculation time increases
Solution Approach 1:
The patent creates multiple proposed charge/discharge plans and evaluates them under different scenarios, but selects the optimal plan based on evaluation values without exhaustively analyzing all possible combinations. This partial action approach achieves sufficient plan reliability by comparing a representative set of plans rather than all conceivable options, thereby reducing calculation time.
Solution Approach 2:
The system evaluates plans under changed parameters representing different scenarios (e.g., varying power generation amounts, different demand levels). By changing key parameters to represent typical scenarios rather than analyzing every possible condition, the system achieves reliable plan selection while minimizing calculation time through parameter-based scenario analysis.
Data Source
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AI summary
Battery depletion can be avoided and the supply of grid power is stabilized while enhancing a renewable energy utilization rate. A charge/discharge planning apparatus: creates a renewable energy power generation amount fluctuation scenario with a changed power generation amount of renewable energy, and a grid power fluctuation scenario with a changed demand for grid power on the basis of at least one of weather forecast information and grid power demand prediction information; executes a simulation regarding each of the plurality of proposed charge/discharge plans under at least one of the renewable energy power generation amount fluctuation scenario and the grid power fluctuation scenario and calculates a charge/discharge plan evaluation value based on an execution result of the simulation regarding the plurality of proposed charge/discharge plans; and adopts any one charge/discharge plan from among the plurality of proposed charge/discharge plans on the basis of the calculated charge/discharge plan evaluation value so that a preset constraint condition will be satisfied.