基于粒子群算法的混合補償系統(tǒng)無源濾波器容量優(yōu)化研究
[Abstract]:With the development of national economy, more and more nonlinear loads appear in people's daily life. The power quality of the power network is seriously affected by a large amount of nonlinear loads. In order to ensure the stable operation of power grid, it is necessary to improve the problem of harmonic and power factor reduction. A hybrid compensation system composed of static var generator, passive filter, active power filter and so on has emerged as the times require. Among them, passive filter has attracted much attention because of its simple structure, low operating cost and high stability. However, the filter effect of passive filter is also affected by many factors, such as the fluctuation of harmonic impedance of the system, the manufacturing error of components and so on. In order to obtain better filtering effect, the compensation system composed of passive filter and active filter is used at the same time, and active power filter is usually used as the optimization of filter effect of passive filter. There is a coupling relationship between the device capacity and the capacity and parameters of the passive filter. The existing capacity calculation methods are based on the traditional power theory, but the traditional power theory is not accurate enough to calculate the power of non-sinusoidal system. In this paper, the passive filter of hybrid compensation system is taken as the research object, the new capacity calculation method is deduced from the power theory of IEEE Std 1459-2010, and the parameters of the passive filter are calculated by comparing the influence of different capacity allocation methods. The parameter design of passive filter is optimized by particle swarm optimization (PSO) with varying inertial weight. Firstly, the calculation results of IEEE Std 1459-2010 power theory in single-phase and three-phase circuits and the equivalent principle of "equal line loss" are introduced in detail. On this basis, a hybrid compensation system for three-phase three-wire circuits is proposed. The compensation capacity of the corresponding passive filter and active power filter is derived and the rationality of the new method in calculating the capacity of the three-phase sinusoidal circuit and the three-phase non-sinusoidal circuit is further analyzed through an example. Secondly, the structure and working principle of single-tuned filter and high-pass filter are introduced, and the influence of different capacity allocation methods on the performance of passive filter is studied. The influence of the fixed capacity allocation on the passive filter parameters and the system impedance on the filter efficiency is further analyzed. Finally, the principle and operation steps of the standard particle swarm optimization algorithm are introduced, and the parameter setting of the algorithm is analyzed, and the inertia weight of the linear decreasing concave function is added to the particle swarm optimization algorithm, which is found to be more superior by comparison. By establishing an optimization model of a typical parallel hybrid compensation system, the optimization objectives and constraints for the passive filter are proposed, and the solution method is given, and the parameters of the passive filter are optimized. Compared with the traditional square design method, the effect is more obvious.
【學位授予單位】:蘭州交通大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TM761
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