Modified simulated annealing and particle swarm optimization algorithm

Abstract

The invention discloses a modified simulated annealing and particle swarm optimization (MPSO-SA) algorithm, which comprises: optimizing a filter device in a power distribution network by introducing an adaptive inertia coefficient and a memory. The adaptive inertia coefficient can be adjusted adaptively, and the algorithm precision can be enhanced; the memory is used for recording the optimal solution which appears during searching; the optimal solution is compared with a final solution after an annealing process is finished, so a whole optimal solution can be obtained; and local optimum of the particle swarm algorithm can be avoided. A simulation result shows that: by the algorithm, installation positions and corresponding parameters of active and passive filter devices are instructed to be optimized uniformly within the range of the power distribution network, so the loss of the system can be reduced; a voltage factor, a power factor and the like are kept within a scheduled range; and an aim of minimizing energy cost of the system and the investment cost of the filter device can be fulfilled.

Description

technical field [0001] The invention relates to uniform optimization of installation locations and corresponding parameters of active and passive filtering devices within the scope of a distribution network, reduces system loss, and keeps voltage, power factor, etc. within specified ranges. Background technique [0002] With the development of modern industrial technology, the nonlinear load in the power system has increased greatly, and various nonlinear and time-varying electronic devices such as inverters, rectifiers and various switching power supplies have been widely used. The switching action of these power electronic devices A large number of harmonic and sub-harmonic components are injected into the distribution network, resulting in serious distortion of the voltage and current waveforms in the distribution network, becoming the most important source of harmonics, and its negative effect is the decline of power quality, and serious It affects the safe and economic ...

AI Technical Summary

Problems solved by technology

The capacity and optimal installation location of the APF should be under the premise of meeting the harmonic control standards, so that the value of the harmonic current injected into the grid should be as small as possible; the structure of the PPF is usually not complicated, but the design needs to consider its reactive power compensation performance and avoiding resonance with the power grid, this is a typical multi-objective, nonlinear optimization problem

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