Micro-grid emergency power supply energy scheduling method based on model predictive control

Abstract

The invention relates to a micro-grid emergency power supply energy scheduling method based on model predictive control, which comprises the following steps: acquiring operation data of a micro-grid, and pre-scheduling the micro-grid at the next moment by adopting a pre-established double-layer model predictive control strategy, the double-layer model prediction control strategy comprises an upper-layer micro-grid scheduling sub-strategy and a lower-layer micro-grid unused capacity scheduling sub-strategy, and the upper-layer micro-grid scheduling sub-strategy takes the minimization of the total cost of the micro-grid as a target, carries out scheduling according to available resources of the micro-grid, and determines excess or insufficient power at the next moment; the lower-layer micro-grid does not use the capacity scheduling sub-strategy to transmit the excess or insufficient power at the next moment according to the upper-layer micro-grid scheduling sub-strategy, so that the cost of reducing the load is reduced to the minimum; and scheduling an unserved load in the micro-grid to meet the requirement of excess or insufficient power at the next moment transmitted by the upper micro-grid scheduling sub-strategy. Compared with the prior art, the method has the advantages of safety, reliability, high prediction accuracy and the like.

Description

technical field [0001] The invention relates to the technical field of micro-grid dispatching, in particular to a method for dispatching emergency power supply energy of a micro-grid based on model predictive control. Background technique [0002] A resilient power system should be able to respond appropriately to those low-probability, high-impact disturbances. From the experience of recent natural disasters, the main differences between low-probability, high-impact events and typical power system failures are: [0003] 1. The timing and duration of these disturbances are highly uncertain and may last for several days. [0004] 2. They are highly dynamic in nature, making it difficult to effectively predict future events or the order in which they will occur. [0005] 3. Its occurrence may cause multiple or multiple components to fail in a short period of time, such as power transmission and distribution system facilities such as substations, transmission lines, and trans...

AI Technical Summary

Problems solved by technology

[0003] 1. The timing and duration of these disturbances are highly uncertain and may last several days

[0004] 2. They are highly dynamic in nature, making it difficult to effectively predict future events or the order in which they will occur

[0005] 3. Its occurrence may cause multiple or multiple components to fail in a short period of time, such as power transmission and distribution system facilities such as substations, transmission lines, and transmission towers

[0006] 4. It may cause power resources to be unavailable or difficult to use

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