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考慮電能質(zhì)量問題的分布式光伏接入規(guī)劃方法

發(fā)布時間:2019-05-28 19:23
【摘要】:隨著智能電網(wǎng)技術(shù)的迅速發(fā)展,越來越多的新能源或節(jié)能低耗的分布式發(fā)電設(shè)備(DG)接入配電網(wǎng),其中分布式光伏電源因其本身受太陽輻射強(qiáng)度的影響,具有隨機(jī)性和波動性,接入后會改變系統(tǒng)的原拓?fù)浣Y(jié)構(gòu)和潮流,并對電網(wǎng)的電能質(zhì)量產(chǎn)生影響。隨著分布式光伏發(fā)電在配電網(wǎng)中的滲透率不斷上升,對配電網(wǎng)的電能質(zhì)量影響嚴(yán)重時會對電網(wǎng)的安全經(jīng)濟(jì)運(yùn)行構(gòu)成威脅。因此在含分布式光伏的電網(wǎng)規(guī)劃階段計及電能質(zhì)量評估是必要的。本文首先理論分析了分布式光伏接入對電網(wǎng)的電壓偏差、電壓波動、諧波及三相不平衡度的影響,并以IEEE-33節(jié)點(diǎn)為例仿真驗(yàn)證;接著介紹了一種基于數(shù)據(jù)包絡(luò)分析的電能質(zhì)量綜合評估方法,用該方法評估分布式光伏接入點(diǎn)的電能質(zhì)量,并與其他綜合評估方法的評估結(jié)果對比,驗(yàn)證了數(shù)據(jù)包絡(luò)分析評估方法的有效性;然后提出了一種基于改進(jìn)粒子群優(yōu)化算法的分布式光伏電源的優(yōu)化配置方法:以分布式光伏的接入容量最大為目標(biāo)函數(shù),采用改進(jìn)粒子群優(yōu)化算法進(jìn)行計算,得到分布式光伏電源的接入位置和容量,并以IEEE-33節(jié)點(diǎn)為例驗(yàn)證所提方法的有效性。在確認(rèn)基于改進(jìn)粒子群算法的分布式光伏電源的優(yōu)化配置方法和數(shù)據(jù)包絡(luò)分析綜合評估方法的有效性基礎(chǔ)上,本文提出了一種考慮電能質(zhì)量約束的分布式光伏接入規(guī)劃方法。該方法首先對待規(guī)劃地區(qū)進(jìn)行潮流分析計算,根據(jù)待規(guī)劃地區(qū)的光伏發(fā)展需求,選擇電能質(zhì)量達(dá)標(biāo)的可接入點(diǎn),確定可接入點(diǎn)的集合,同時用灰色-馬爾科夫鏈預(yù)測模型預(yù)測待規(guī)劃地區(qū)的光伏電源出力;接著,利用改進(jìn)的粒子群算法求解考慮電能質(zhì)量約束的光伏電源優(yōu)化配置模型,得到光伏電源接入配網(wǎng)的接入點(diǎn)和接入容量;最后用數(shù)據(jù)包絡(luò)分析(DEA)的電能質(zhì)量評估方法對接入方案中的各接入點(diǎn)進(jìn)行電能質(zhì)量評估,如果接入方案中有接入點(diǎn)的電能質(zhì)量評估指標(biāo)不合格,則給出修正方案,最后給出電能質(zhì)量水平良好的分布式光伏電源接入的規(guī)劃方案。本文以某地一實(shí)際10kV線路和IEEE-33節(jié)點(diǎn)三相不平衡系統(tǒng)為例,對三相平衡和三相不平衡的情況分別進(jìn)行仿真計算,驗(yàn)證了本文規(guī)劃方法的可行性。
[Abstract]:With the rapid development of smart grid technology, more and more new energy or energy-saving and low-consumption distributed power generation equipment (DG) are connected to distribution network, in which distributed photovoltaic power supply is affected by solar radiation intensity. With randomness and volatility, the original topological structure and power flow of the system will be changed after access, and the power quality of the power grid will be affected. With the increasing permeability of distributed photovoltaic power generation in distribution network, it will pose a threat to the safe and economic operation of power network when it has a serious impact on the power quality of distribution network. Therefore, it is necessary to consider power quality assessment in the power grid planning stage with distributed photovoltaic. In this paper, the effects of distributed photovoltaic access on voltage deviation, voltage fluctuation, harmonics and three-phase imbalance of power grid are analyzed theoretically, and the IEEE-33 node is taken as an example to verify the voltage deviation, voltage fluctuation, harmonics and three-phase imbalance. Then, a comprehensive power quality evaluation method based on data envelopment analysis (DEA) is introduced, which is used to evaluate the power quality of distributed photovoltaic access points, and the results are compared with those of other comprehensive evaluation methods. The effectiveness of the data envelopment analysis (DEA) evaluation method is verified. Then an optimal configuration method of distributed photovoltaic power supply based on improved particle swarm optimization algorithm is proposed: taking the maximum access capacity of distributed photovoltaic as the objective function, the improved particle swarm optimization algorithm is used to calculate. The access location and capacity of distributed photovoltaic power supply are obtained, and the effectiveness of the proposed method is verified by taking IEEE-33 node as an example. On the basis of confirming the effectiveness of the optimal configuration method and data envelopment analysis comprehensive evaluation method of distributed photovoltaic power supply based on improved particle swarm optimization algorithm, a distributed photovoltaic access planning method considering power quality constraints is proposed in this paper. The method first carries on the power flow analysis and calculation to the planned area, according to the photovoltaic development demand of the planned area, selects the access point which the power quality meets the standard, and determines the set of the access point. At the same time, the grey Markov chain prediction model is used to predict the output of photovoltaic power supply in the area to be planned. Then, the improved particle swarm optimization algorithm is used to solve the optimal configuration model of photovoltaic power supply considering power quality constraints, and the access point and access capacity of photovoltaic power supply access network are obtained. Finally, the power quality evaluation method of data envelopment analysis (DEA) is used to evaluate the power quality of each access point in the access scheme. If the power quality evaluation index of the access point in the access scheme is not up to standard, the correction scheme is given. Finally, the planning scheme of distributed photovoltaic power supply access with good power quality level is given. In this paper, taking a practical 10kV line and IEEE-33 node three-phase unbalanced system as examples, the simulation calculation of three-phase equilibrium and three-phase imbalance is carried out respectively, which verifies the feasibility of the planning method in this paper.
【學(xué)位授予單位】:武漢大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TM615;TM715

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1 陳警眾;電能質(zhì)量講座 第四講 電能質(zhì)量改善措施的實(shí)際應(yīng)用[J];供用電;2001年01期

2 ;教育部電能質(zhì)量工程研究中心[J];安徽科技;2002年03期

3 奚s,

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