本文選題：配電網(wǎng)　切入點(diǎn)：電壓水平　出處：《中國(guó)電機(jī)工程學(xué)報(bào)》2017年16期 　論文類型：期刊論文

【摘要】：為定量評(píng)估配電網(wǎng)中不確定因素對(duì)各節(jié)點(diǎn)電壓的不確定性影響,從線性定量描述的建模角度出發(fā),提出一種基于彈性網(wǎng)估計(jì)的電壓不確定水平分析方法。首先采用點(diǎn)估計(jì)法估計(jì)各節(jié)點(diǎn)電壓期望值,并利用電壓期望值構(gòu)造分析樣本;然后通過對(duì)分析樣本的彈性網(wǎng)估計(jì),確定各不確定因素中對(duì)各節(jié)點(diǎn)電壓的主導(dǎo)影響因素及其電壓影響系數(shù)。針對(duì)系統(tǒng)電壓不確定水平分析需求,由不確定因素概率分布特性與電壓影響系數(shù)構(gòu)建節(jié)點(diǎn) 不確定因素相關(guān)矩陣,提出不確定因素影響力度量指標(biāo)和節(jié)點(diǎn)電壓受不確定影響風(fēng)險(xiǎn)指標(biāo),以及基于潛在語義索引思想和k-means聚類的節(jié)點(diǎn)分級(jí)分區(qū)劃分方法。最后,基于IEEE 33節(jié)點(diǎn)系統(tǒng)的測(cè)試結(jié)果表明,所提彈性網(wǎng)分析方法及指標(biāo)能夠準(zhǔn)確評(píng)估不確定因素對(duì)電壓的不確定性影響。
[Abstract]:In order to quantitatively evaluate the uncertain influence of uncertain factors on the voltage of each node in distribution network, the modeling of linear quantitative description is used. A voltage uncertainty level analysis method based on elastic network estimation is proposed. Firstly, the point estimation method is used to estimate the voltage expectation of each node, and then the analysis sample is constructed by using the voltage expectation value, and then the elastic network estimation of the analysis sample is carried out. Determine the dominant influence factors and their voltage influence coefficients of each node voltage in each uncertain factor. To analyze the demand of system voltage uncertainty level, Based on the probability distribution characteristics of the uncertain factors and the voltage influence coefficient, the correlation matrix of the uncertain factors is constructed, and the index of the influence of the uncertain factors on the dynamics and the risk of the node voltage being affected by the uncertainty are put forward. And based on the latent semantic index and k-means clustering, the node classification method is proposed. Finally, the test results based on IEEE 33-node system show that, The proposed elastic network analysis method and index can accurately evaluate the uncertain effect of uncertain factors on voltage.
【作者單位】： 新能源電力系統(tǒng)國(guó)家重點(diǎn)實(shí)驗(yàn)室(華北電力大學(xué));合肥工業(yè)大學(xué)數(shù)學(xué)學(xué)院;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(51207051) 中央高�；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金資助項(xiàng)目(2016XS02)~~
【分類號(hào)】：TM711
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本文編號(hào)：1582439