Electric power transaction system and method and application thereof

Abstract

The invention provides an electric power transaction system, method and application thereof. The electric power transaction method includes: according to a preset time window of the microgrid power transaction system, predicting the power generation capacity and the load demand of each user in the microgrid in the next transaction time window respectively; dividing all users in the microgrid intoa power seller set and a power buyer set based on the obtained power generation capacity and load demand of each user; establishing a power purchase cost model and a seller benefit model, and collecting power from each power seller under the condition of minimizing the power purchase cost of the system scheduler and maximizing the benefit of the seller; and establishing a buyer benefit model, anddistributing power to the power buyer under the condition of maximizing the sum of the benefits of all buyers. According to the invention, a reliable and stable power transaction system is establishedin the community microgrid, the problem of unbalanced power supply and demand of a single user is solved, the income of the user is improved, and the interference to a main power grid is reduced.

Description

Technical field [0001] The technical field of power trading of the present invention particularly relates to a power trading system, method and application thereof. Background technique [0002] Big data technology refers to the ability to quickly obtain valuable information from various types of data. Electricity is the practice of big data concepts, technologies and methods in the power industry, involving all aspects of power generation, transmission, transformation, distribution, power consumption, and dispatch. With the construction of smart grids and the application of the Internet of Things, power big data is growing rapidly. Through the mining of electric power big data, it can not only improve the development needs of the power industry, but also serve the needs of economic development. [0003] Artificial intelligence is to allow computers to imitate human logical thinking and advanced intelligence. It can be divided into three levels: computational intelligence, percep...

AI Technical Summary

Problems solved by technology

[0005] The current community micro-grid architecture adopted by the power trading system usually requires the installation of energy storage devices on the user side. However, the cost of energy storage devices is relatively high, and it is difficult to attract users to install energy storage devices without government subsidies to promote installation. Therefore, it is necessary A novel energy storage architecture; in addition, the current trading mechanism in the power trading system is mainly divided into centralized and point-to-point. The point-to-point mechanism is very complicated and difficult to implement in a small-scale market such as community microgrid. The traditional mechanism lacks a fair pricing strategy and lacks the protection of user privacy, so an improved transaction mechanism is needed to overcome the above shortcomings

Finally, existing power trading systems are based on assumptions and do not take into account forecast errors, so a model is needed to deal with power forecast errors

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