Elastic distribution network planning method based on extreme disturbance events

Abstract

The invention discloses an elastic distribution network planning method based on extreme disturbance events. The key technology of disaster-resistant power grid planning based on lifeline engineeringis studied deeply and power supply restoration of the distribution network for the lifeline engineering is considered. Restoration of a power-loss component and an important load in a grid is used asa primary goal, the attention is paid to rapidity, and the time efficiency is emphasized. With the system power generation capacity obtained at the beginning of the recovery process, a segmentation switch and a connecting switch that are associated with the important load are searched to realize reasonable power transmission to the grid, so that the system network is restored step by step within short time. An operable communication switch directly connected to a power outage area in the network is searched to restore power-outage loads as many as possible. And an operable communication switchnot being directly connected to the power outage area in the network is searched to overcome the defect that all loads can not be restored by the local distribution network, so that the coordinationwith the local distribution network recovery is realized.

Description

technical field [0001] The invention specifically relates to a flexible distribution network planning method based on extreme disturbance events, and belongs to the technical field of distribution network planning and management. Background technique [0002] The distribution network power supply recovery algorithm based on the expert system is to generate an expert rule base based on the knowledge and experience of power grid fault recovery. Expert-level answers to real problems. The distribution network fault recovery algorithm based on the expert system has the characteristics of real-time, and can deal with the fault recovery problem under complex distribution network and multi-fault conditions, but it is very difficult to establish and maintain the knowledge base, and with the complexity of the system Increasing the number of rules will increase sharply, thereby prolonging the system analysis time and obtaining suboptimal optimization results; in addition, due to the l...

AI Technical Summary

Problems solved by technology

The distribution network fault recovery algorithm based on the expert system has the characteristics of real-time, and can deal with the fault recovery problem under complex distribution network and multi-fault conditions, but it is very difficult to establish and maintain the knowledge base, and with the complexity of the system Increasing the number of rules will increase sharply, thereby prolonging the system analysis time and obtaining suboptimal optimization results; in addition, due to the limited experience and limitations of experts, the knowledge base is not complete, and it is difficult to deal with failure recovery problems that have not yet occurred.

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