本文選題：分布式電源 + 電能質(zhì)量��； 參考：《電工技術(shù)學(xué)報(bào)》2017年23期

【摘要】：計(jì)及新能源分布式電源(DG)并網(wǎng)對(duì)智能配電網(wǎng)的影響,構(gòu)建了一種含DG配電網(wǎng)的可延展通用模型。基于模型結(jié)構(gòu)等效變換,分析了引起電能質(zhì)量監(jiān)測(cè)儀方向誤判的影響因素,針對(duì)電壓暫降型或電壓暫升型的電能質(zhì)量(PQ)擾動(dòng)源,提出了DG并網(wǎng)對(duì)PQ擾動(dòng)方向判定的影響規(guī)律,進(jìn)而提出了一種基于規(guī)律校正的PQ擾動(dòng)方向判定算法。將多個(gè)DG接入IEEE 13和IEEE 34模型,Matlab仿真表明,該算法能提高PQ擾動(dòng)方向判定的準(zhǔn)確率,并具有簡(jiǎn)明清晰、抗噪聲能力強(qiáng)等優(yōu)點(diǎn)。
[Abstract]:Considering the influence of new energy distributed generation (DG) on smart distribution network, a general extensible model with DG is constructed. Based on the equivalent transformation of the model structure, this paper analyzes the influencing factors that cause the misjudgment of the direction of the power quality monitor. In view of the power quality disturbance sources of voltage sag or voltage surge, the influence of DG grid connection on the determination of the PQ disturbance direction is put forward. Furthermore, a PQ disturbance direction decision algorithm based on law correction is proposed. The simulation results of IEEE 13 and IEEE 34 model show that the algorithm can improve the accuracy of PQ disturbance direction determination, and has the advantages of simplicity and clarity, strong anti-noise ability and so on.
【作者單位】： 浙江工業(yè)大學(xué)信息工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(51507153) 浙江省自然科學(xué)基金(LY17E070005) 浙江省高校實(shí)驗(yàn)室工作研究項(xiàng)目(YB201633)資助
【分類(lèi)號(hào)】：TM711
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本文編號(hào)：1782168