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基于蟻群算法的泵站運(yùn)行優(yōu)化及投影尋蹤選優(yōu)策略
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國(guó)家自然科學(xué)基金資助項(xiàng)目(51279173);2010年江蘇省水利動(dòng)力工程重點(diǎn)實(shí)驗(yàn)室開(kāi)放課題資助項(xiàng)目(K100019);2010年度揚(yáng)州大學(xué)研究生培養(yǎng)創(chuàng)新工程資助項(xiàng)目(揚(yáng)大研〔2010〕9號(hào))


Pump Operation Optimization and Projection Pursuit Evaluation Strategy Based on Ant Colony Optimization
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    摘要:

    針對(duì)泵站優(yōu)化運(yùn)行計(jì)算時(shí)最優(yōu)解評(píng)價(jià)指標(biāo)單一的問(wèn)題,建立了包含機(jī)組開(kāi)停機(jī)約束的泵站優(yōu)化運(yùn)行數(shù)學(xué)模型和運(yùn)行方案選優(yōu)的投影尋蹤決策模型。提出了求解泵站多機(jī)組優(yōu)化運(yùn)行模型的蟻群算法,并通過(guò)分析模型的特性改進(jìn)了算法中啟發(fā)式信息和信息素更新方式。對(duì)江都四站多機(jī)組日優(yōu)化運(yùn)行計(jì)算的結(jié)果顯示,變量同等離散的情況下,利用蟻群算法優(yōu)化的結(jié)果比用動(dòng)態(tài)規(guī)劃逐次逼近法優(yōu)化的結(jié)果節(jié)省了2.8%的電費(fèi),前者相比設(shè)計(jì)工況運(yùn)行時(shí)節(jié)省了29.2%的電費(fèi),且蟻群算法優(yōu)化結(jié)果對(duì)應(yīng)的運(yùn)行方案中葉片調(diào)節(jié)次數(shù)少,機(jī)組運(yùn)行時(shí)間短;方案選優(yōu)時(shí)投影尋蹤決策模型能夠兼顧多個(gè)評(píng)價(jià)指標(biāo)的優(yōu)選,得到的運(yùn)行方案不僅運(yùn)行成本低,且更合理,更貼切于日常運(yùn)行,可見(jiàn)改進(jìn)后的蟻群算法結(jié)合投影尋蹤決策模型在泵站優(yōu)化運(yùn)行及相近的領(lǐng)域有較大的實(shí)用價(jià)值。

    Abstract:

    Usually the evaluation index of optimal pump operation solution is single. An optimal pump operation model which contained the constraint of start-stop pump unit was developed, and projection pursuit evaluation method for scheme optimization was proposed. The ant colony optimization algorithm was used to calculate the model. The heuristic information and the pheromone trail update method were improved by analyzing characters of the model for better performances. A calculation example for the No.4 Jiangdu pumping station was conducted. The results from ant colony optimization algorithm showed that 29.2% of energy fee could be saved under the designed operation condition, which was compared with the result from dynamic programming with successive approximation algorithm under the same discrete condition, and was better with 2.8% of the result from dynamic programming. The results from ant colony optimization algorithm had less times of the blade adjusting, and shorter operating time of the pumps. Projection pursuit evaluation could give consideration to multiple evaluation indexes. The evaluation result of projection pursuit not only has low electric fee, but also suitable for practical operation, which indicates that ant colony optimization algorithm combined with projection pursuit evaluation method can provide a high application value to the field of optimal operation of pumping stations and related fields.

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袁堯,劉超.基于蟻群算法的泵站運(yùn)行優(yōu)化及投影尋蹤選優(yōu)策略[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2013,44(3):38-44. Yuan Yao, Liu Chao. Pump Operation Optimization and Projection Pursuit Evaluation Strategy Based on Ant Colony Optimization[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(3):38-44.

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  • 在線發(fā)布日期: 2013-02-25
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