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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

發(fā)布時間:2019-02-17 08:27
【摘要】:隨著國民經(jīng)濟的發(fā)展,越來越多的非線性負載在人民的日常生活中出現(xiàn)。由于電網(wǎng)中投入大量非線性負載,電網(wǎng)的電能質(zhì)量受到嚴重影響。為了保證電網(wǎng)穩(wěn)定的運行,就需改善諧波和功率因數(shù)降低問題。由靜止無功發(fā)生器、無源濾波器、有源濾波器等一系列補償設備構成的混合補償系統(tǒng)應運而生,其中無源濾波器以其結(jié)構簡單、運行成本低、穩(wěn)定性較高等優(yōu)點備受關注。但無源濾波器的濾波效果也會受到諸多因素影響,如系統(tǒng)諧波阻抗的波動,元器件的制造誤差等。為獲得更好的濾波效果,無源濾波器和有源濾波器構成的補償系統(tǒng)同時使用,而有源濾波器通常作為無源濾波器濾波效果的優(yōu)化,且其設備容量和無源濾波器的容量和參數(shù)存在耦合關系,F(xiàn)有的容量計算方式都是基于傳統(tǒng)的功率理論,而傳統(tǒng)的功率理論在計算非正弦系統(tǒng)的功率量已不夠準確。故本文以混合補償系統(tǒng)無源濾波器為研究對象,以IEEE Std 1459-2010功率理論為出發(fā)點推導新的容量計算方法,并比較不同容量分配方式對其影響,計算無源濾波器的參數(shù),通過改變慣性權重的粒子群算法進行無源濾波器的參數(shù)設計優(yōu)化。首先,詳細地介紹了IEEE Std 1459-2010功率理論在單相、三相電路中的計算結(jié)果以及“等線路損耗”的等效原則,在此基礎上,針對三相三線電路混合補償系統(tǒng),推導得到相應無源濾波器和有源濾波器補償容量,進一步通過算例比較分析了新方法在計算三相正弦電路和三相非正弦電路容量計算的合理性。其次,介紹了單調(diào)諧濾波器和高通濾波器的結(jié)構和工作原理,研究了不同的容量分配方式對無源濾波器性能的影響,進一步分析了固定容量分配方式對于無源濾波器參數(shù)及系統(tǒng)阻抗對濾波效益的影響。最后,介紹了標準粒子群優(yōu)化算法的原理和運算步驟,并對算法參數(shù)設置進行了分析;在粒子群算法中加入線性遞減凹函數(shù)的慣性權重值,通過比較發(fā)現(xiàn)更具有優(yōu)越性。通過建立一個典型的并聯(lián)型混合補償系統(tǒng)的優(yōu)化模型,針對其中的無源濾波器提出優(yōu)化目標和約束方式,并給出求解方法,對無源濾波器的參數(shù)進行了優(yōu)化,與傳統(tǒng)方設計方法的結(jié)果進行了對比,效果更明顯。
[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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