Multi-objective reactive power optimization method for distribution network based on non-dominated neighborhood immune algorithm

Abstract

The invention relates to a power distribution network multi-target reactive-power optimization method based on a non-dominated neighbor-domain immune algorithm. Active power loss and reactive compensation input are regarded as targets to be optimized, and a power distribution network multi-target reactive-power optimization model considering constraints such as active balance, reactive balance, power distribution network power limits, node voltage limits, reactive compensation capacity limits, transformer tap limits, compensation node limits and line transmission power limits is established. The power distribution network multi-target reactive-power optimization model is solved by utilizing the non-dominated neighbor-domain immune algorithm. According to the algorithm, the non-inferiority and distributivity of a finally obtained Pareto solution are ensured by adopting proportional cloning, combination, variation and other operations and selection based on crowding distances. The specific configurations of a reactive compensation device having minimum active power loss and lowest compensation input cost can be rapidly and reliably obtained, and the optimization method has a better engineering application prospect.

Description

technical field [0001] The invention relates to a multi-objective reactive power optimization method for a distribution network based on a non-dominated neighborhood immune algorithm. Background technique [0002] At present, the voltage qualification rate of my country's distribution network is low, and the active network loss is relatively large. Under the conditions of satisfying load constraints and network security, how to improve the voltage quality of distribution network and reduce network loss has become an important task for the safe and economical operation of power system. Reactive power optimization of distribution network is a good way to solve this problem. Reasonable allocation of reactive power can significantly improve the quality of power supply voltage and reduce system loss. The essence of reactive power optimization in distribution network is also a power flow optimization problem. It refers to improving the power supply voltage level of the entire sys...

AI Technical Summary

Problems solved by technology

However, the fast non-dominated sorting method tends to converge prematurely, and is prone to oscillations in the later stage; although the multi-objective particle swarm optimization algorithm of collective chaos search can take advantage of the ergodic characteristics of chaos search, the number of iterations required is too long; Guarantee the feasibility of candidate solutions to be improved

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