Energy storage configuration optimization method under electricity price bidding scene

Abstract

The invention provides an energy storage configuration optimization method in an electricity price bidding scene. The method comprises the following steps: constructing a mathematical model with the optimal energy storage income as a target, and solving the model through employing a branch and bound algorithm. The optimal charging and discharging power, the optimal total income, the charging and discharging cost, the cycle index and the like of the energy storage battery at each moment of each energy storage configuration can be quickly solved through the known electricity price and various energy storage configurations at each moment of historical moments, and which energy storage configuration has the optimal economical efficiency can be solved. The method is applied to an actual energy storage strategy control operation system, a future electricity price prediction curve is input, and an optimal energy storage battery charging and discharging strategy curve can be rapidly obtained, so effective charging and discharging control over the energy storage battery is achieved. Compared with a manual estimation method, the method has the advantages of high accuracy and high efficiency.

Description

technical field [0001] The invention belongs to the field of electric power technology, and in particular relates to an energy storage configuration optimization method in an electricity price bidding scenario. Background technique [0002] In Australia and other foreign power markets, with the strong economic growth and the enthusiasm of users, the installation of distributed photovoltaic systems has risen sharply, which has led to the development of user-side energy storage systems. The emergence of integrated business models such as virtual power plants can fully tap and utilize the wholesale market value of thousands of distributed power generation systems, making the power supply highly volatile, resulting in an imbalance between power supply and demand, which is manifested in the power market. Real-time changes in electricity prices are highly volatile. The price of electricity will change every 5 minutes, and the price difference between before and after can reach hu...

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Problems solved by technology

[0004] However, in the actual application process, different energy storage capacities, rated power, and different charging and discharging strategies are used, and the benefits vary greatly. However, there are countless combinations of charging and discharging strategies, which cannot be calculated using the exhaustive method. Some simple strategies are used manually. estimation, there will be problems of inaccurate estimation and low efficiency

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