本文選題：礦井改造　切入點(diǎn)：風(fēng)-光互補(bǔ)　出處：《工礦自動(dòng)化》2017年11期

【摘要】：針對(duì)廢舊地下礦井極易造成地表塌陷、水土流失的問題,提出將井下相應(yīng)區(qū)域改造成抽水蓄能電站,進(jìn)而與風(fēng)-光互補(bǔ)系統(tǒng)結(jié)合,建立風(fēng)-光-抽水蓄能聯(lián)合互補(bǔ)發(fā)電系統(tǒng)。以跟蹤負(fù)荷曲線和系統(tǒng)出力波動(dòng)性最小為優(yōu)化目標(biāo),分別對(duì)風(fēng)力發(fā)電、光伏發(fā)電和抽水蓄能電站建立出力數(shù)學(xué)模型,并在考慮風(fēng)-光互補(bǔ)特性、電網(wǎng)傳輸功率等約束條件下,利用改進(jìn)粒子群算法對(duì)模型進(jìn)行求解。算例仿真結(jié)果驗(yàn)證了所建模型可以很好地跟蹤優(yōu)化目標(biāo),有效解決了新能源并網(wǎng)時(shí)的功率波動(dòng)和消納問題。
[Abstract]:In view of the problem of surface collapse and soil erosion caused by waste underground mines, it is proposed that the corresponding underground areas be transformed into pumped storage power stations, and then combined with the air-optic complementary system to establish a combined air-optical-pumped storage power generation system.In order to track the load curve and minimize the system output fluctuation, the mathematical models of wind power generation, photovoltaic power generation and pumped storage power station are established respectively, and the constraints of wind and optical complementarity and transmission power are taken into account.The improved particle swarm optimization algorithm is used to solve the model.The simulation results show that the proposed model can track the optimization target well and solve the problem of power fluctuation and absorption effectively when new energy is connected to the grid.
【作者單位】： 中國(guó)礦業(yè)大學(xué)電氣與動(dòng)力工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(51504253) 江蘇省自然科學(xué)基金項(xiàng)目(BK20161185)
【分類號(hào)】：TD611
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本文編號(hào)：1713347