Power distribution network reactive power optimization method based on adaptive particle swarm optimization

Abstract

The invention is applied to the field of power system reactive power optimization, and relates to a power distribution network reactive power optimization method based on an adaptive particle swarm algorithm. The method comprises the following steps of: 1, establishing an active power output model according to the characteristics of three types of loads of the power distribution network; 2, based on the fact that the output direction of the distributed generation power is the reverse direction of the traditional power flow, dividing the distributed generation power into two kinds of positive and negative loads so as to establish a mathematical model of a net load, and then establishing a net load power output curve; 3, realizing better planning of the power distribution network from economy and safety, and comprehensively considering and establishing a multi-target reactive power optimization model; and 4, solving the reactive power optimization model by adopting a self-adaptive particle swarm algorithm, so that the active power loss and node voltage deviation of the system can be minimum. According to the method, through reactive power optimization of the adaptive particle swarm, the safety and economy of the power grid are greatly improved, and the method has good social benefits and good application value and popularization and application prospects.

Description

technical field [0001] The invention relates to a reactive power optimization method of a distribution network, and to the field of reactive power optimization of a power system. Background technique [0002] Facing the dual challenges of energy and environment, a high proportion of renewable energy is connected to the medium and high voltage distribution network system, which makes the network structure of the distribution network more complex, and also makes its planning operation and power flow characteristics more variable. This not only makes the safety and reliability planning of distribution network more difficult, but also puts forward higher requirements for the close coordination and control between distributed generation sources and traditional reactive power equipment. [0003] In order to reduce the economic cost of the stable operation of the distribution network, reactive power optimization is an indispensable means, so it has always been the focus of research...

AI Technical Summary

Problems solved by technology

However, as the complexity and dimension of the solution problem become higher and higher, its convergence speed decreases significantly and it is easy to fall into a local optimum.

The standard PSO algorithm regards the particle with the optimal fitness value as the global optimal particle, and because its inertia weight remains unchanged, its position remains unchanged after iterative calculation, so a large number of invalid iterative processes are generated

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