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基于Pareto解的風(fēng)電-水電聯(lián)合運(yùn)行研究

發(fā)布時(shí)間:2018-05-22 07:22

  本文選題:抽水蓄能 + 多目標(biāo)優(yōu)化。 參考:《水力發(fā)電》2017年05期


【摘要】:以風(fēng)電場(chǎng)運(yùn)行效益和輸出電能質(zhì)量為優(yōu)化目標(biāo),建立風(fēng)電-水電聯(lián)合供電優(yōu)化運(yùn)行模型,利用改進(jìn)的多目標(biāo)克隆選擇算法進(jìn)行仿真求解,得到均勻分布的Pareto解集。結(jié)果表明聯(lián)合優(yōu)化模型可以為風(fēng)電場(chǎng)在不同目標(biāo)與要求下的靈活運(yùn)行提供參考調(diào)度值,同時(shí)有效削弱風(fēng)電的隨機(jī)性和不穩(wěn)定性,有利于風(fēng)電并網(wǎng)。
[Abstract]:With the aim of wind farm operation benefit and output power quality as the optimization goal, the wind power and hydropower combined power supply optimization operation model is established. The improved multi-objective clone selection algorithm is used to simulate and solve the problem, and the uniformly distributed Pareto solution set is obtained. The results show that the combined optimization model can provide the reference dispatching value for the flexible operation of wind farm under different objectives and requirements, and effectively weaken the randomness and instability of wind power, which is beneficial to wind power grid connection.
【作者單位】: 河南應(yīng)用技術(shù)職業(yè)學(xué)院;
【基金】:河南省基礎(chǔ)與前沿技術(shù)研究計(jì)劃項(xiàng)目資助(1623004-10189)
【分類號(hào)】:TM614;TM73;TV737


本文編號(hào):1921058

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