Active power distribution network distributed type reactive optimizing method based on equal network loss increment rate

Abstract

The invention discloses an active power distribution network distributed type reactive optimizing method based on an equal network loss increment rate. The control method comprises steps that step 10) initialization: partition reactive optimization parameters are initialized; step 20) partition reactive optimization solution: according to a partition trend calculation result, the equal increment rate is used to solve reactive power adjustment amounts of various distributed power supplies and reactive compensation devices; step 30) inter-partition information interaction: information interaction between adjacent partitions is carried out, and the operation states of the partitions are updated; step 40) convergence determining: whether active power deviation of a main station node is smaller than a predetermined convergence threshold is determined, and when the active power deviation of the main station node is smaller than the predetermined convergence threshold, iteration is stopped, and when the active power deviation of the main station node is not smaller than the predetermined convergence threshold, whether a maximum iteration time is achieved is determined, when the maximum iteration time is achieved, the iteration is stopped, and when the maximum iteration time is not achieved, the iteration time is plus one, and the step 20) is carried out again. The control method is advantageous in that based on a distributed type communication architecture and an equal network loss increment rate rule, convergence speed is fast, and the reactive distributed type coordinated optimization of a plurality of partitions and distributed type optimization of global network losses are realized, and robustness of active power distribution network reactive optimization control and reliability of power supply are improved.

Description

technical field [0001] The invention belongs to the field of distribution network operation control, and specifically relates to a distributed reactive power optimization method for an active distribution network based on an equal network loss micro-increase rate. Background technique [0002] The discovery and application of fossil energy has greatly accelerated the development of human civilization. However, the traditional fossil energy is produced at a slow rate and has limited reserves. At the same time, the consumption of fossil energy also poses a huge challenge to the human living environment. The problems of energy depletion and ecological environment have made the research and application of clean and sustainable energy the focus of research in countries all over the world. The abundant solar energy and wind energy have become the hot spots of new energy applications, and the distributed power generation technology based on new energy has also been greatly develope...

AI Technical Summary

Problems solved by technology

The reactive power optimization control of the current distribution network is established under the centralized communication framework, which requires high communication reliability and requires a large communication cost, and the reactive power optimization control algorithm is complex and difficult to solve

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