本文選題：配電網(wǎng)重構(gòu) + 風(fēng)力發(fā)電　； 參考：《廣西大學(xué)》2014年碩士論文

【摘要】：隨著風(fēng)能在世界能源格局中的比重不斷增加,風(fēng)電滲透率也不斷增大,大力發(fā)展風(fēng)電是未來電力系統(tǒng)的必然趨勢。然而,風(fēng)電功率具有很強(qiáng)的不確定性和易變性,對系統(tǒng)的運(yùn)行狀態(tài)產(chǎn)生不確定性影響,從而使含風(fēng)力發(fā)電的配電網(wǎng)絡(luò)重構(gòu)變得更加復(fù)雜。因此,結(jié)合不確定性理論,有效地處理風(fēng)電的隨機(jī)性,在高效利用風(fēng)能和保證配電系統(tǒng)安全運(yùn)行的情況下研究含風(fēng)力發(fā)電的配電網(wǎng)絡(luò)重構(gòu)具有十分重大的意義。 本文首先分析了最新智能算法——蝙蝠算法的理論和運(yùn)行機(jī)制,引入學(xué)習(xí)因子并結(jié)合基本蝙蝠算法的參數(shù)收斂區(qū)域?qū)ζ浼右愿倪M(jìn)；通過計算IEEE-30標(biāo)準(zhǔn)測試系統(tǒng)的最優(yōu)潮流,驗(yàn)證了改進(jìn)算法的計算速度和全局收斂性；引入Sigmoid函數(shù),構(gòu)造適合求解配電網(wǎng)重構(gòu)問題二進(jìn)制蝙蝠算法。 其次,分析了風(fēng)力發(fā)電的隨機(jī)性,從風(fēng)速的威布爾分布和考慮空氣動力學(xué)的雙饋異步風(fēng)力發(fā)電機(jī)功率特性推導(dǎo)出風(fēng)電功率的概率密度分布函數(shù),采用瓦瑟斯坦(Wasserstein)距離指標(biāo)推導(dǎo)出求解風(fēng)電功率漸近最優(yōu)場景的新模型,能有效地模擬風(fēng)電功率的隨機(jī)特性。 另外,在分析配電網(wǎng)輻射狀運(yùn)行條件的基礎(chǔ)上,首次提出基于二進(jìn)制蝙蝠算法的配電網(wǎng)絡(luò)重構(gòu)模型和求解步驟；適當(dāng)簡化網(wǎng)絡(luò)和約束轉(zhuǎn)化,提高了算法搜索效率；通過對IEEE-33系統(tǒng)、美國PGE-69系統(tǒng)進(jìn)行仿真,驗(yàn)證了模型和算法的有效性。 最后,提出含風(fēng)力發(fā)電的配電網(wǎng)絡(luò)重構(gòu)模型,用風(fēng)電功率漸近最優(yōu)場景,把不確定模型轉(zhuǎn)化為確定模型,采用二進(jìn)制蝙蝠算法、MATLAB和GAMS聯(lián)合編程調(diào)用SBB求解器求解,對比分析兩者的結(jié)果。通過對IEEE-33系統(tǒng)、美國PGE-69系統(tǒng)進(jìn)行仿真,驗(yàn)證了模型的合理性以及方法的有效性,有效地分析了風(fēng)力發(fā)電對配電網(wǎng)絡(luò)重構(gòu)的影響。對結(jié)果進(jìn)行數(shù)理統(tǒng)計分析,得出各支路開關(guān)的閉合/斷開概率分布、操作次數(shù)/操作概率分布以及有功損耗概率分布,能為開關(guān)設(shè)備選型和配電網(wǎng)運(yùn)行方案的確定提供有價值的參考。
[Abstract]:With the increasing proportion of wind energy in the world energy pattern and the increasing wind power permeability, it is an inevitable trend to develop wind power system in the future. However, wind power has strong uncertainty and variability, which has an uncertain effect on the operating state of the system, which makes the reconfiguration of distribution network with wind power more complex. Therefore, combining the uncertainty theory and dealing with the randomness of wind power effectively, it is of great significance to study the reconfiguration of distribution network with wind power generation under the condition of efficiently utilizing wind energy and ensuring the safe operation of distribution system. This paper first analyzes the theory and running mechanism of the latest intelligent algorithm-bat algorithm, introduces the learning factor and improves it with the convergence region of the basic bat algorithm, and calculates the optimal power flow of the IEEE-30 standard test system. The computational speed and global convergence of the improved algorithm are verified, and the binary bat algorithm is constructed by introducing Sigmoid function to solve the distribution network reconfiguration problem. Secondly, the randomness of wind power generation is analyzed, and the probability density distribution function of wind power is derived from the Weibull distribution of wind speed and the power characteristic of doubly-fed asynchronous wind generator considering aerodynamics. Using the Wasserstein distance index, a new model for solving the asymptotically optimal scenario of wind power is derived, which can effectively simulate the stochastic characteristics of wind power. In addition, on the basis of analyzing the radial operation conditions of distribution network, the reconfiguration model and solving steps of distribution network based on binary bat algorithm are put forward for the first time. The effectiveness of the model and algorithm is verified by the simulation of IEEE-33 system and American PGE-69 system. Finally, a reconfiguration model of distribution network with wind power generation is proposed. The uncertain model is transformed into a deterministic model by using the wind power asymptotically optimal scenario, and the SBB solver is called by the binary bat algorithm MATLAB and GAMS. The results are compared and analyzed. Through the simulation of IEEE-33 system and American PGE-69 system, the rationality of the model and the validity of the method are verified, and the influence of wind power generation on the reconfiguration of distribution network is analyzed effectively. Through statistical analysis of the results, the closed / open probability distribution, the operation times / operation probability distribution and the active power loss probability distribution of each branch switch are obtained. It can provide valuable reference for the selection of switchgear and the determination of distribution network operation plan.
【學(xué)位授予單位】：廣西大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM614

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本文編號：1880323