Microgrid power big data transaction management system using blockchain and artificial intelligence

Abstract

The invention discloses a micro-grid power big data transaction management system using blockchain and artificial intelligence, including a power purchase receiving module sorting out the power purchase unit price of the completed transaction according to the previous power consumption data records on the power consumption side, and recording The power consumption side needs to purchase this time. The power price adjustment module takes the average value of the power purchase unit price of the completed transaction as the initial power price, and compares the current total power generation of all power generation sides with the total power consumption of all power consumption sides. Smart The matching module screens the power generation side that can meet the electricity demanded by the power consumption side, and selects the appropriate power generation side for matching; the present invention combines blockchain technology on the basis of artificial intelligence to enhance the intelligence of the transaction management system, eliminate Centralization and immutability of data.

Description

Technical field [0001] The present invention relates to power transaction management, and specifically, a micro-grid power large data transaction management system for application block chains and artificial intelligence. Background technique [0002] At present, the power transaction is concentrated on a small number of large platforms, the centralization is more severe, and the interest control of the power generation side and the electricity side is concentrated on these platforms, and therefore, it is easy to show the failure of the power system, and the range also increases. Big; Due to the transaction of power generation, it is not necessary to meet, the first needs to solve the key needs of participating in the transaction, strive to trade accuracy and rapid, which seems to have lack personalized adjustments, mutual There is also an impact between the non-coherent transactions. The generation and development of block chain technology, to solve the problem of excessive conc...

AI Technical Summary

Problems solved by technology

[0003] There are many power trading systems that allocate resources on the power generation side based on the matching of power supply and power consumption to achieve real-time and effective distribution of power resources. However, such methods do not comprehensively consider the geographical location of power distribution, power loss, and power consumption.

With the reduction of power participants, the emergence of productive consumers and the use of electricity by some flexible loads, the complexity of power trading is relatively high, and the simultaneous participation of all parties greatly increases the difficulty of power trading calculations. Occurs evenly, and the stability is poor

In terms of transaction matching, most systems will speculate on the transaction situation, but the existing prediction methods have shortcomings due to the volatility of historical data, strong time-varying characteristics, and nonlinearity. Causes large guessing errors, further affecting the generation and execution of transactions

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