Intelligent micro-grid energy management system based on artificial intelligence

Abstract

The invention provides an intelligent micro-grid energy management system based on artificial intelligence. The system comprises a parameter acquisition module used for acquiring each distributed energy droop control parameter; an energy selection module used for selecting first optimized energy at an initial moment of a preset time period and selecting second optimized energy from the first optimized energy at a non-initial moment of the preset time period; a parameter optimization module used for optimizing the droop control parameters of the selected optimized energy according to the state data of the distributed energy and acquiring the stability degree of a micro-grid after parameter optimization; and an energy determination module used for determining central control energy according to the utilization rate of a channel between a control center and the first optimized energy in the preset time period and the stability degree of the micro-grid. According to the intelligent micro-grid energy management system, droop control and centralized control are combined to obtain control parameters of each distributed energy source, the data communication cost is reduced, and the stability of the micro-grid is ensured while quick response of the micro-grid is realized.

Description

technical field [0001] The invention relates to the field of micro-grids, in particular to an artificial intelligence-based smart micro-grid energy management system. Background technique [0002] Smart microgrid is a combination of "smart grid" and "microgrid". Smart microgrid can make full use of clean energy while solving the problem of unstable distributed energy by smart grid. Among them, the "smart grid" is an automated power supply network, which can monitor and integrate power supply and power consumption equipment in real time through sensors, and optimize the power system by the control system The role of management; "microgrid" refers to a small power generation and distribution system composed of distributed energy, energy storage devices, energy conversion devices, related loads and monitoring, and the operation control of "microgrid" should be based on Local information can respond quickly and independently to accidents in the power grid without accepting the ...

AI Technical Summary

Problems solved by technology

[0003] Traditional microgrid control achieves power sharing and maintains stable operation of the system through droop control; droop control simulates the power synchronization mechanism of traditional generator systems to achieve power distribution without communication, but at the same time due to droop control between distributed energy sources Without communication, using this control method will make the overall stability of the power grid poor

Another control method is to use optical fiber communication between the control center and distributed energy sources to achieve power regulation, but this control method is costly. Even if the control center communicates intermittently with each distributed energy source, this method only reduces the number of simultaneous The amount of transmitted data at any time to reduce transmission costs

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