EDGE COMPUTING-BASED MULTI-AGENT LOAD REGULATION AND CONTROL METHOD

摘要

The invention provides a multi-agent load regulating and controlling method based on edge computing, and relates to the technical field of load management under intelligent micro-grid environment. The method comprises the steps of: firstly, building electric power node data models within regional power grids; considering coupling relationship between the regional power grids, building perception model based on edge computing, to perceive the voltage and the phase angle of two ends of the tie-line; computing line losses between the regional power grids, and superimposing generation power and consumption power in the regional power grids to obtain net active power of the regional power grids; then setting the object function of the regional power grids; deducing the optimal object function of economic benefits of the interval power grids according to the object function of the regional power grids; converting the economy optimization and load regulation problem of the interval power grids into the problem of balancing and coupling of whole economic benefits of the distributed regional power grids and power between regions; and converting the object function into an augmented Lagrange function, solving the function by using the ADMM algorithm to achieve regulation and control of load of the power grid system.