本文關(guān)鍵詞： 梯級水電站群 優(yōu)化調(diào)度 多目標(biāo)優(yōu)化 量子粒子群算法 混沌變異 外部檔案集合　出處：《水力發(fā)電學(xué)報(bào)》2017年05期 　論文類型：期刊論文

【摘要】：為科學(xué)求解梯級水電站群多目標(biāo)優(yōu)化調(diào)度模型,提出一種基于量子行為進(jìn)化機(jī)制的多目標(biāo)量子粒子群算法(MOQPSO)。該方法以標(biāo)準(zhǔn)量子粒子群算法(QPSO)為基礎(chǔ),引入外部檔案集合存儲非劣粒子,利用個(gè)體支配關(guān)系實(shí)現(xiàn)檔案集合的動(dòng)態(tài)更新維護(hù);依據(jù)個(gè)體領(lǐng)導(dǎo)能力優(yōu)劣選擇粒子歷史最優(yōu)位置與種群全局最優(yōu)位置,維持搜索過程中個(gè)體進(jìn)化方向的多樣性;采用混沌變異算子對個(gè)體進(jìn)行局部擾動(dòng),提升算法的全局收斂性能。烏江流域模擬調(diào)度結(jié)果表明,所提方法具有良好的收斂速度與尋優(yōu)能力,可快速獲得兼顧梯級水電系統(tǒng)經(jīng)濟(jì)性與可靠性要求的Pareto解集,能夠?yàn)楣こ倘藛T提供科學(xué)的決策依據(jù)。
[Abstract]:In order to solve the multi-objective optimal dispatching model of cascade hydropower station group scientifically. A multi-objective quantum particle swarm optimization algorithm based on quantum behavior evolution mechanism is proposed, which is based on standard quantum particle swarm optimization (QPSO). The external file set is introduced to store the non-inferior particles, and the dynamic updating and maintenance of the file collection is realized by using the individual domination relation. According to the individual leadership ability, the historical optimal position of particle and the global optimal location of population are selected to maintain the diversity of individual evolutionary direction in the process of searching. Chaotic mutation operator is used to make local disturbance to improve the global convergence performance of the algorithm. The simulation results show that the proposed method has a good convergence speed and optimization ability. The Pareto solution set which takes into account the requirements of economy and reliability of cascade hydropower system can be obtained quickly, and it can provide scientific decision basis for engineers.
【作者單位】： 大連理工大學(xué)水電與水信息研究所;
【基金】：國家自然科學(xué)基金(91547201;51210014) 國家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃(973計(jì)劃)資助項(xiàng)目(2013CB035906)
【分類號】：TV737
【正文快照】： 單元[1-2]。發(fā)電量(發(fā)電效益)最大等單目標(biāo)調(diào)度0引言模型僅能從某一方面考慮梯級總體發(fā)電效益最大伴隨我國各大流域巨型水電站的相繼投產(chǎn)運(yùn)化,未能有效計(jì)及豐枯峰谷時(shí)段的特性差異,極易行以及全國互聯(lián)智能電網(wǎng)的平穩(wěn)有序推進(jìn),梯級水造成電能在年內(nèi)的非均衡分布,甚至引發(fā)部分時(shí)

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