本文關(guān)鍵詞： 分布式發(fā)電 動(dòng)態(tài)最優(yōu)潮流 混合蛙跳算法 無功補(bǔ)償　出處：《山東大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著分布式發(fā)電在現(xiàn)代電力系統(tǒng)中的滲透率水平越來越高,近年來帶來的最大挑戰(zhàn)就是如何對(duì)電網(wǎng)進(jìn)行優(yōu)化控制,如包含分布式電源的最優(yōu)潮流計(jì)算。在本文中,主要探討了分布式發(fā)電給配電網(wǎng)帶來的影響,著力于研究風(fēng)力發(fā)電并網(wǎng)帶來的影響。文中討論了定速風(fēng)機(jī)和變速風(fēng)機(jī)的基本模型,潮流計(jì)算中采用了風(fēng)機(jī)的的有功輸出期望模型。當(dāng)考慮到傳統(tǒng)發(fā)電機(jī)的閥點(diǎn)效應(yīng),含有風(fēng)力發(fā)電并網(wǎng)系統(tǒng)的動(dòng)態(tài)潮流計(jì)算是一個(gè)具有多約束、非凸性、非線性的計(jì)算問題。另外,考慮到定速風(fēng)機(jī)的無功補(bǔ)償設(shè)備的離散性時(shí),潮流計(jì)算是混合整數(shù)優(yōu)化問題。為了對(duì)該問題進(jìn)行求解,本文提出了混合蛙跳算法應(yīng)用于動(dòng)態(tài)潮流的求解,以全部單元最小費(fèi)用為目標(biāo)函數(shù),通過對(duì)IEEE 30節(jié)點(diǎn)進(jìn)行仿真算例分析,得到了其最優(yōu)解。通過與粒子群優(yōu)化算法的比較,證明了該算法的有效性,具有一定的實(shí)用性。
[Abstract]:With the increasing permeability of distributed generation in modern power system, the biggest challenge in recent years is how to optimize the control of power network, such as the optimal power flow calculation including distributed generation. In this paper, In this paper, the influence of distributed generation on distribution network is discussed, and the influence of wind power generation connected to grid is studied. The basic models of fixed speed fan and variable speed fan are discussed in this paper. The active power output expectation model of the fan is used in the power flow calculation. Considering the valve point effect of the traditional generator, the dynamic power flow calculation with the wind power grid connection system is a multi-constrained, non-convexity. In addition, considering the discreteness of reactive power compensation equipment of a constant speed fan, the power flow calculation is a mixed integer optimization problem. In this paper, a hybrid leapfrog algorithm is proposed to solve the dynamic power flow. With the minimum cost of all units as the objective function, the optimal solution is obtained by analyzing the simulation examples of IEEE 30 nodes, and comparing with the particle swarm optimization algorithm. It is proved that the algorithm is effective and practical.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TM73;TM614

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本文編號(hào)：1506047