Energy management
Optimization of grid-scale battery storage system Operation Using Electricity Market Price Forecasting Technology
Overview
By entering the battery business and optimizing the operation of batteries based on price forecasts for the spot market and other electricity markets (wholesale electricity market, flexibility market, and capacity market), we will contribute to improving the supply and demand balance in the power grid.
Background
Renewable energy sources have been rapidly gaining popularity in recent years, but their output is unstable, and they are viewed as a problem because they disrupt the supply and demand balance of the entire power grid.
To resolve this, it is necessary to adjust power plant output and increase or reduce demand in accordance with the supply and demand balance. Various electricity markets have been established to efficiently provide resources for such adjustments.
Osaka Gas has entered the grid storage battery business and is using a machine learning model to forecast market prices in the spot market and other markets, optimizing its storage battery operation plans to improve profitability through transactions with various electricity markets while stabilizing the grid.
Rendered image of the grid storage battery business
Example of Using Prediction Technology
As an example of the use of forecasting technology, transactions using batteries in the wholesale market and the flexibility market are explained below.
As a premise, in the spot market, which is a type of wholesale market, electricity is traded at a market price set every 30 minutes, and this price fluctuates depending on the balance of supply and demand with time. If you have equipment such as storage batteries, you can charge and discharge them in response to fluctuations in market prices and earn profits from the difference; this is called arbitrage trading.
In addition, in the flexibility market, by discharging the battery at a pre-agreed time period and output, it is possible to earn revenue from the transaction price, which fluctuates according to the market price.
When maximizing profits by combining arbitrage and the balancing capacity market, it is necessary to finely adjust operational plans such as charging/discharging timing/output in response to fluctuations in market prices. This can be optimized by utilizing highly accurate spot market price forecasts.
Optimization of storage battery operation plan
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