基于混合仿真的主動配電網(wǎng)運行態(tài)勢時序仿真平臺
發(fā)布時間:2019-01-27 13:53
【摘要】:主動配電網(wǎng)要求建立更主動、更精細的控制系統(tǒng),但現(xiàn)有的運行態(tài)勢仿真平臺多以潮流斷面或短期時序的仿真為主,不能滿足配電網(wǎng)中長期控制算法的要求。提出基于Grid LAB-D和MATLAB的聯(lián)合仿真,搭建一個配電網(wǎng)優(yōu)化控制策略仿真平臺,以用于模擬仿真不同控制策略下主動配電網(wǎng)的系統(tǒng)運行態(tài)勢;诒镜胤答伩刂坪妥顑(yōu)潮流控制策略,驗證了所提平臺的有效性。
[Abstract]:Active distribution network needs to establish more active and precise control system, but most of the existing simulation platforms are based on the simulation of power flow section or short-term time series, which can not meet the requirements of the medium and long-term control algorithm of distribution network. A simulation platform for optimal control strategy of distribution network is built based on Grid LAB-D and MATLAB, which can be used to simulate the operation situation of active distribution network under different control strategies. The effectiveness of the proposed platform is verified based on local feedback control and optimal power flow control strategy.
【作者單位】: 國家電網(wǎng)公司北京昌平供電公司;國家電力投資集團公司;清華大學電機工程與應用電子技術系電力系統(tǒng)及發(fā)電設備控制和仿真國家重點實驗室;
【基金】:國家高技術研究發(fā)展計劃(863計劃)項目(2014AA0-51901) 國家國際科技合作專項項目(2014DFG62670)~~
【分類號】:TM743
,
本文編號:2416322
[Abstract]:Active distribution network needs to establish more active and precise control system, but most of the existing simulation platforms are based on the simulation of power flow section or short-term time series, which can not meet the requirements of the medium and long-term control algorithm of distribution network. A simulation platform for optimal control strategy of distribution network is built based on Grid LAB-D and MATLAB, which can be used to simulate the operation situation of active distribution network under different control strategies. The effectiveness of the proposed platform is verified based on local feedback control and optimal power flow control strategy.
【作者單位】: 國家電網(wǎng)公司北京昌平供電公司;國家電力投資集團公司;清華大學電機工程與應用電子技術系電力系統(tǒng)及發(fā)電設備控制和仿真國家重點實驗室;
【基金】:國家高技術研究發(fā)展計劃(863計劃)項目(2014AA0-51901) 國家國際科技合作專項項目(2014DFG62670)~~
【分類號】:TM743
,
本文編號:2416322
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