Power distribution network intelligent reconstruction method based on multi-information associated utilization

Abstract

The invention discloses a power distribution network intelligent reconstruction method based on multi-information associated utilization, and belongs to the field of distribution automation. The method comprises the following steps: S1, with an incoming circuit breaker as a sign, dividing a distribution network into a plurality of radial independent distribution regions, and numbering the regions in series according to the sequence from small to large; S2, generating M different initial distribution network topologies by using uniform random theory; S3, performing optimizing search of the network topologies by using association characteristics of power flow of the distribution network and the network topology; S4, and comparing M solutions which satisfy a search end condition, and using the network topology whose network loss is minimum as a final distribution network reconstruction scheme. The method obviously improves distribution network reconstruction efficiency through effective association of network topology adaptive identification information and distribution network loss calculation.

Description

technical field [0001] The invention belongs to the field of distribution network automation, and specifically refers to a method for intelligently reconfiguring a distribution network by using distribution network topology association information. Background technique [0002] Distribution network reconfiguration, as an important content of distribution network automation, has become the focus of current attention. The intelligentization of distribution network operation management has become the development goal of distribution network construction at home and abroad. Distribution network reconfiguration has become a way to optimize distribution network operation and improve its operational safety and reliability by dynamically changing the on-off and closing states of sectional switches, tracking load changes, achieving balanced loads, reducing active power losses, and improving power supply quality. A convenient and efficient method that is efficient and economical is a...

AI Technical Summary

Problems solved by technology

Literature [9] uses the improved strategy to modify some infeasible solutions into feasible solutions, and uses the genetic algorithm to formulate the reconstruction strategy. Although the strategy modification of infeasible solutions in this method avoids the existence of infeasible solutions, but because of the time consumption of the correction module , still has the disadvantage of low efficiency; literature [10] uses the immune algorithm gene modification and repair strategy to increase the number of feasible solutions, but the algorithm has a lack of adaptability; literature [11], [12] use particle swarm optimization and ant The group algorithm formulates the distribution network reconfiguration strategy, but the method used has insufficient consideration of the relevance of the distribution network operation information, and there is a problem of repeated calculations in the operation process, which limits the optimization efficiency of the algorithm

Images