An artificial intelligence-based smart microgrid energy management system

Abstract

The present invention provides an artificial intelligence-based smart microgrid energy management system, which includes: a parameter acquisition module for acquiring the droop control parameters of each distributed energy source; Energy, an energy selection module that selects the second optimized energy from the first optimized energy at a non-initial moment of the preset time period; it is used to optimize the droop control parameters of the selected optimized energy according to the state data of the distributed energy and obtain the parameters The parameter optimization module of the optimized microgrid stability degree; the energy determination module for determining the central control energy source according to the utilization rate of the channel between the control center and the first optimized energy source and the stability degree of the microgrid within a preset time period; the present invention combines Droop control and centralized control obtain the control parameters of each distributed energy source, reduce the cost of data communication, realize the rapid response of the micro-grid and ensure the stability of the micro-grid.

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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