【摘要】：智能電網(wǎng)的高速發(fā)展以及非線性裝置的使用給日常生產(chǎn)、生活帶來便利的同時(shí)也造成了嚴(yán)重的諧波危害,使得電能質(zhì)量下降,因此諧波的治理尤為重要。目前治理諧波的主要手段是投入濾波裝置,而混合有源濾波器(Hybrid active power filter,HAPF)能防止波形嚴(yán)重畸變并且提供適量的無功補(bǔ)償,是其中最具前瞻性的濾波系統(tǒng)。分析山西電網(wǎng)的諧波污染情況,并考慮到HAPF參數(shù)優(yōu)化時(shí)存在多目標(biāo)、非線性的特點(diǎn),本文將適用于工程優(yōu)化的多目標(biāo)布谷鳥搜索算法(Cuckoo Search algorithm for Multi-objective optimization,MOCS)應(yīng)用在變電站掛網(wǎng)運(yùn)行的500kVA的HAPF中,以實(shí)現(xiàn)其參數(shù)優(yōu)化設(shè)計(jì)。掌握MOCS算法的工作原理及具體流程的基礎(chǔ)上,分析了它在多目標(biāo)參數(shù)優(yōu)化問題中的不足。針對(duì)該算法中大量聚集在邊界上的解會(huì)影響迭代后期收斂速度的缺陷,引入高斯擾動(dòng)算子對(duì)布谷鳥巢位置進(jìn)行改進(jìn),并對(duì)超出邊界范圍的鳥巢進(jìn)行越界處理,提出了高斯擾動(dòng)邊界策略MOCS算法。針對(duì)標(biāo)準(zhǔn)MOCS算法易陷入局部最優(yōu)的問題,采用適于全局優(yōu)化的混沌理論及云模型來進(jìn)行改進(jìn),提出了混沌云模型MOCS算法。然后利用典型的多目標(biāo)基準(zhǔn)函數(shù)對(duì)兩種改進(jìn)算法分別進(jìn)行性能測(cè)試,實(shí)驗(yàn)結(jié)果顯示出改進(jìn)后各方面的優(yōu)勢(shì)。對(duì)并聯(lián)型注入式基波諧振HAPF參數(shù)進(jìn)行設(shè)計(jì)并說明每個(gè)模塊的參數(shù)對(duì)HAPF濾波性能的影響。以經(jīng)濟(jì)性指標(biāo)、滿意度函數(shù)以及無功補(bǔ)償為HAPF的多目標(biāo)函數(shù),直流側(cè)電壓及開關(guān)頻率為約束條件,用兩種改進(jìn)的MOCS算法對(duì)其進(jìn)行參數(shù)優(yōu)化。利用Matlab/Simulink對(duì)HAPF進(jìn)行仿真,與傳統(tǒng)的優(yōu)化設(shè)計(jì)方法對(duì)比,驗(yàn)證本文兩種改進(jìn)算法與HAPF優(yōu)化配置模型的實(shí)用性與經(jīng)濟(jì)性。
[Abstract]:The rapid development of smart grid and the use of nonlinear devices bring convenience to daily production and daily life, but also cause serious harmonic harm, which makes the power quality decline, so the harmonic management is particularly important. At present, the main method of harmonic control is to put in the filter device, and the hybrid active power filter (Hybrid active power filter,HAPF) can prevent the serious distortion of the waveform and provide appropriate reactive power compensation, so it is the most prospective filtering system. The harmonic pollution of Shanxi power network is analyzed. Considering the multi-objective and nonlinear characteristics of HAPF parameter optimization, this paper presents a multi-objective Cuckoo search algorithm, (Cuckoo Search algorithm for Multi-objective optimization, which is suitable for engineering optimization. MOCS) is applied to the HAPF of 500kVA in substation to realize the parameter optimization design. On the basis of mastering the working principle and concrete flow of MOCS algorithm, the deficiency of MOCS algorithm in multi-objective parameter optimization problem is analyzed. In order to overcome the defect that a large number of solutions gathered on the boundary in the algorithm will affect the convergence rate in the late iteration period, Gao Si perturbation operator is introduced to improve the location of the cuckoo nest, and the nest beyond the boundary range is treated across the boundary. The MOCS algorithm of Gao Si perturbation boundary strategy is proposed. In order to solve the problem that standard MOCS algorithm is prone to local optimization, chaotic cloud model MOCS algorithm is proposed by using chaos theory and cloud model, which is suitable for global optimization. Then the performance of the two improved algorithms is tested by using the typical multi-objective benchmark function. The experimental results show the advantages of the improved algorithm. The HAPF parameters of the parallel injection fundamental resonance are designed and the influence of the parameters of each module on the HAPF filtering performance is explained. Taking the economic index, satisfaction function and reactive power compensation as the multi-objective function of HAPF, DC side voltage and switching frequency as constraints, two improved MOCS algorithms are used to optimize the parameters. The simulation of HAPF using Matlab/Simulink is compared with the traditional optimization design method, which verifies the practicability and economy of the two improved algorithms and the optimal configuration model of HAPF.
【學(xué)位授予單位】：太原科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM761

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本文編號(hào)：2383330