Charge-Discharge Planning Under Renewable and Grid Fluctuations
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Solution Overview
Problem
The demand for electric power fluctuates due to the instability of renewable energy sources, leading to potential battery depletion and strain in grid power supply.
Innovation Solution
A charge/discharge planning system that creates plans using electric vehicle operation information, vehicle status, charger information, storage battery information, and grid power demand predictions to simulate and optimize charging and discharging strategies, ensuring stability and maximizing renewable energy utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If renewable energy sources are used for power generation, then environmental sustainability is improved, but power supply stability deteriorates due to fluctuating demand and supply
Solution Approach 1:
The system performs preliminary actions by creating multiple proposed charge/discharge plans in advance and executing simulations under various fluctuation scenarios before actual operation. This allows the system to pre-determine robust plans that can handle future uncertainties in renewable energy generation and power demand, thereby maintaining power supply stability while maximizing renewable energy utilization.
Solution Approach 2:
The system applies dynamics by creating multiple fluctuation scenarios with different degrees of power generation and demand variations. Instead of using a single static plan, the system dynamically evaluates multiple proposed plans under various simulated conditions and adopts the most robust plan, allowing the system to adapt to changing conditions while maintaining stability.
2Reliability
If multiple fluctuation scenarios are simulated, then power supply stability is improved, but computational complexity increases
Solution Approach 1:
The system segments the complex simulation task by dividing it into multiple independent fluctuation scenarios, each representing different conditions (e.g., high power generation, low demand; low power generation, high demand). Each scenario is simulated separately with its own set of proposed charge/discharge plans, allowing the complex problem to be broken down into manageable parts that can be processed independently and then evaluated collectively.
Data Source
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; and adopts any one of 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.