Electric system splitting fracture surface searching method based on master-slave problem alternating optimization

Abstract

The invention discloses an electric system splitting fracture surface searching method based on master-slave problem alternating optimization. A complete active splitting model is transformed to a master-slave problem based on the connected graph constrained Knapsack problem (CGKP) theory. The master problem is the graph optimal balanced dividing problem and solution is performed with the CGKP technology adopted. The slave problem is that the solution is performed with the optimal power flow (OPF) technology adopted and based on the scheduling problem of the OPF problem. The coupling between the master problem and the slave problem is achieved through regulation variable of node load. A more excellent splitting scheme is obtained through alternating iteration between the master problem and the slave problem. Compared with the prior art, a novel strategy based on the a master-slave problem alternating solving electric system optimal active splitting section is proposed, and meanwhile, the splitting scheme is enabled to be closer to an optimal solution of the complete model. Therefore, a greater load is generated after splitting to achieve power supply.

Description

technical field [0001] The invention relates to electric power technology, in particular to a search method for disassembly section of electric power system. Background technique [0002] As one of the powerful measures to deal with the collapse of the power system, active decoupling has gradually been recognized and valued by the industry and academia. The optimal active decoupling section selection problem is to find a decoupling section that enables each isolated subsystem to quickly restore stable operation after decoupling and minimize overall machine and load shedding based on the grid operating status and fault information. This strategy has attracted the attention of many researchers because it is of great significance to ensure the safe and stable continuous operation of the power grid and reduce the amount of machine shedding and load shedding after the system is disconnected. [0003] At present, the methods for solving the optimal solution section can be roughly...

AI Technical Summary

Problems solved by technology

This method is basically based on an exhaustive search idea. When the scale and structure of the network are relatively large and complex, the amount of calculation is still too large.

The common disadvantage of the solution strategy based on slow cohomology theory is that the calculation amount is too large due to the calculation of eigenvalues ​​and eigenvectors

Images