Battery scheduling calibration method to enable optimal peak shaving operation

Scheduling method of energy storage device

This technology relates to a scheduling method and device for charging and discharging energy storage devices that minimizes unnecessary waste of charging and discharging power caused by prediction errors by estimating and allocating correction power (margin power) based on prediction errors.

The battery operation to reduce maximum load power that is currently used is to discharge the battery at a constant power during the time when the maximum load is predicted to occur, such as this. It is difficult to say that the operation is optimal because it does not take into account losses due to unnecessary charging/discharging power, battery depreciation, and electricity usage charges. This technology provides technical means for scheduling energy storage devices that minimize unnecessary waste of charging and discharging power caused by prediction errors.

This technology estimates correction power based on prediction error, corrects it to output close to optimal operation by allocating it to scheduled charging and discharging power in real time, and applies price weighting in a dynamic programming algorithm to reduce maximum load power without setting a separate limit.

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Key Features:

• The charge/discharge scheduling system derives the depreciation density function according to the characteristics of the energy storage device and sets constraints for optimization
• Generates the charge/discharge schedule of the energy storage device from the depreciation density function based on the power grid cost information
• Compares the predicted demand data with the measured actual demand data to estimate the corrected power and corrects the charge/discharge schedule
• Dynamic programming algorithm to minimize the operating cost of the power grid use

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This technology was developed through the support of the Korea Institute of Energy Technology Evaluation and Planning's micro research project utilizing distributed resources based on community energy supply (CES) facilities.

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