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微電網(wǎng)并網(wǎng)控制技術(shù)及優(yōu)化研究

發(fā)布時(shí)間:2018-03-18 01:07

  本文選題:微電網(wǎng) 切入點(diǎn):LCL濾波器 出處:《燕山大學(xué)》2014年碩士論文 論文類型:學(xué)位論文


【摘要】:針對(duì)近年來(lái)發(fā)生的公用電網(wǎng)大規(guī)模停電事故、環(huán)境的嚴(yán)重污染以及能源的日益枯竭等現(xiàn)實(shí)狀況,以太陽(yáng)能發(fā)電、風(fēng)力發(fā)電等可再生清潔微電源和儲(chǔ)能裝置等構(gòu)成的微電網(wǎng)系統(tǒng),不僅能夠與公用電網(wǎng)并網(wǎng)運(yùn)行,還可以與公用電網(wǎng)分離進(jìn)入孤網(wǎng)運(yùn)行模式,基于其穩(wěn)定、靈活及易于管理的特點(diǎn),越來(lái)越受到重視和廣泛應(yīng)用。并網(wǎng)逆變器在整個(gè)微電網(wǎng)系統(tǒng)中是核心組成部分,其性能對(duì)系統(tǒng)高效、穩(wěn)定運(yùn)行起著不可替代的作用。在微電網(wǎng)系統(tǒng)并網(wǎng)運(yùn)行的過(guò)程中,為了能夠合理分配各分布式電源模塊之間的電應(yīng)力和熱應(yīng)力,應(yīng)保持各分布式電源之間的電壓、頻率和相角同步。同時(shí)并網(wǎng)逆變器器件本身呈非線性,會(huì)引起系統(tǒng)的電壓和電流波動(dòng),出現(xiàn)波形畸變,從而造成整個(gè)電網(wǎng)系統(tǒng)的諧波污染;谖㈦娋W(wǎng)并網(wǎng)系統(tǒng)的上述狀況,本文對(duì)微電網(wǎng)并網(wǎng)控制技術(shù)及其優(yōu)化進(jìn)行了研究。 針對(duì)微電網(wǎng)中單相LCL型并網(wǎng)逆變器系統(tǒng),設(shè)計(jì)了一種魯棒迭代學(xué)習(xí)控制器;谀孀兤鬏敵龅墓β氏麓固匦,實(shí)現(xiàn)各逆變器之間的均流運(yùn)行;利用迭代學(xué)習(xí)策略適宜于重復(fù)跟蹤控制和具有周期性擾動(dòng)抑制的特點(diǎn),并結(jié)合魯棒的性能指標(biāo)設(shè)計(jì)迭代學(xué)習(xí)控制器,使其具有克服系統(tǒng)參數(shù)不確定性的能力。與重復(fù)控制相比,魯棒迭代學(xué)習(xí)控制能得到更高精度的輸出波形,提高了波形跟蹤能力,有效地解決了輸出信號(hào)的失真問(wèn)題。 針對(duì)微電網(wǎng)中多并網(wǎng)逆變器參數(shù)未知或慢時(shí)變控制問(wèn)題,首先,采用下垂特性實(shí)現(xiàn)各逆變器之間的功率分配,同時(shí)引入虛擬電抗,解決線路呈阻性時(shí),有功功率和無(wú)功功率的強(qiáng)耦合問(wèn)題,,提高功率下垂控制的性能。將基于功率下垂控制得到的電壓基準(zhǔn)變換為電流基準(zhǔn),考慮系統(tǒng)參數(shù)不精確及變化情況,采用基于自適應(yīng)內(nèi)模的可調(diào)PID控制器,實(shí)現(xiàn)對(duì)電流的精確控制。仿真表明控制方案具有良好的穩(wěn)態(tài)和動(dòng)態(tài)性能。 針對(duì)以風(fēng)力發(fā)電提供電能的微電網(wǎng)系統(tǒng),由于風(fēng)力發(fā)電的間斷性及可能造成的嚴(yán)重頻率波動(dòng),需對(duì)執(zhí)行用戶端進(jìn)行頻率控制。將微電網(wǎng)系統(tǒng)表示成不確定系統(tǒng),提出了基于H2/H混合目標(biāo)函數(shù)的優(yōu)化控制方案,采用單純形法對(duì)各PID控制器參數(shù)進(jìn)行尋優(yōu)。結(jié)果表明基于H2/H混合目標(biāo)函數(shù)的單純形優(yōu)化方法,不但解決了PID控制器參數(shù)難以整定的問(wèn)題,同時(shí)提高了系統(tǒng)的魯棒性并能實(shí)現(xiàn)實(shí)時(shí)優(yōu)化控制,保證了微電網(wǎng)系統(tǒng)的穩(wěn)定運(yùn)行和功率的充分利用。
[Abstract]:In view of the recent large-scale power outages, serious environmental pollution and the increasing depletion of energy, the micro-grid system is composed of renewable clean micro-power sources and energy storage devices, such as solar power generation, wind power generation and so on. It can not only be connected with the public power grid, but also can be separated from the public network into the isolated network operation mode, based on its stable, flexible and easy to manage characteristics, Grid-connected inverter is a core part of the whole micro-grid system, and its performance plays an irreplaceable role in the system's high efficiency and stable operation. In the process of grid-connected operation of micro-grid system, grid-connected inverter plays an irreplaceable role. In order to distribute the electric stress and thermal stress between the distributed power modules reasonably, the voltage, frequency and phase angle between the distributed power sources should be kept in sync. At the same time, the grid-connected inverter device itself is nonlinear. It will cause voltage and current fluctuation of the system and cause waveform distortion, resulting in harmonic pollution of the whole power system. Based on the above situation of the microgrid grid-connected system, the microgrid grid-connected control technology and its optimization are studied in this paper. A robust iterative learning controller is designed for single-phase LCL grid-connected inverter system in microgrid. The iterative learning strategy is suitable for repetitive tracking control and periodic disturbance suppression, and a robust iterative learning controller is designed to overcome the uncertainty of system parameters. Robust iterative learning control can obtain higher precision output waveform, improve waveform tracking ability, and effectively solve the distortion problem of output signal. Aiming at the problem that the parameters of multi-grid inverter are unknown or slow time-varying in microgrid, firstly, the droop characteristic is used to realize the power distribution among the inverters, and at the same time, virtual reactance is introduced to solve the problem of line resistance. The problem of strong coupling of active power and reactive power improves the performance of power droop control. The voltage reference based on power droop control is transformed into current reference, and the system parameters are considered to be inexact and variable. The adjustable PID controller based on adaptive internal model is used to realize the accurate control of the current. The simulation results show that the control scheme has good steady-state and dynamic performance. Because of the intermittent wind power generation and the severe frequency fluctuation caused by wind power generation, it is necessary to control the frequency of the executive user side in order to express the microgrid system as an uncertain system. An optimal control scheme based on H _ 2 / H mixed objective function is proposed. The simplex method is used to optimize the parameters of each PID controller. The results show that the simplex optimization method based on H _ 2 / H mixed objective function is used. It not only solves the problem that the parameters of PID controller are difficult to set, but also improves the robustness of the system and realizes the real-time optimal control, which ensures the stable operation of the microgrid system and the full utilization of the power.
【學(xué)位授予單位】:燕山大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TM732

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