發(fā)布時(shí)間：2018-01-15 00:29

  本文關(guān)鍵詞：水庫(kù)水電站聯(lián)合優(yōu)化調(diào)度研究　出處：《鄭州大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 水電站經(jīng)濟(jì)運(yùn)行 水庫(kù)優(yōu)化調(diào)度 耦合模型 動(dòng)態(tài)規(guī)劃 遺傳算法

【摘要】：近年來，世界能源市場(chǎng)的不斷調(diào)整演變導(dǎo)致全球能源格局發(fā)生重大變化，我國(guó)能源供需之間的矛盾、能源利用與環(huán)境保護(hù)之間的矛盾日益突出，同時(shí)我國(guó)正積極推行節(jié)能減排政策，能源結(jié)構(gòu)調(diào)整的步伐不斷加快，以水能為代表的清潔能源在保障經(jīng)濟(jì)社會(huì)發(fā)展和能源安全供應(yīng)方面的戰(zhàn)略性地位也日趨重要。我國(guó)水能資源豐富，作為開發(fā)利用水能資源的主要形式，水力發(fā)電因其環(huán)保經(jīng)濟(jì)、運(yùn)行靈活、技術(shù)成熟等優(yōu)點(diǎn)而在我國(guó)非化石潔凈能源利用中具有優(yōu)勢(shì)地位�！笆濉焙�，隨著大批水庫(kù)和水電站的建成、運(yùn)行、規(guī)劃，我國(guó)水電建設(shè)進(jìn)入高速發(fā)展期。在此背景下，開展對(duì)水庫(kù)水電站優(yōu)化運(yùn)行問題的研究具有較高的實(shí)際意義和應(yīng)用價(jià)值。 本文首先概述了水庫(kù)水電站優(yōu)化運(yùn)行的國(guó)內(nèi)外研究現(xiàn)狀及相關(guān)理論，在此基礎(chǔ)上提出了將水庫(kù)和水電站進(jìn)行聯(lián)合優(yōu)化運(yùn)行的理念，建立了將二者進(jìn)行耦合的數(shù)學(xué)模型，并運(yùn)用差分—遺傳混合智能算法進(jìn)行求解，最后選用陸渾水庫(kù)電站實(shí)例對(duì)模型及算法進(jìn)行分析。本文主要的研究?jī)?nèi)容總結(jié)如下： （1）針對(duì)目前水庫(kù)優(yōu)化調(diào)度與水電站經(jīng)濟(jì)運(yùn)行結(jié)果多不相一致的情況，確定將水電站發(fā)電引用流量作為耦合連接因子，以此建立水庫(kù)水電站聯(lián)合優(yōu)化運(yùn)行的耦合模型，即將水庫(kù)優(yōu)化調(diào)度中各計(jì)算時(shí)段內(nèi)的下泄流量在水電站廠內(nèi)各機(jī)組間進(jìn)行優(yōu)化分配，由此得到的各機(jī)組最優(yōu)出力之和來作為水庫(kù)優(yōu)化調(diào)度的計(jì)算時(shí)段面臨效益，從而實(shí)現(xiàn)水電站經(jīng)濟(jì)運(yùn)行和水庫(kù)優(yōu)化調(diào)度間的結(jié)合。 （2）針對(duì)水庫(kù)水電站耦合問題多約束性和強(qiáng)非線性的特點(diǎn)，本文提出了適用于水庫(kù)水電站聯(lián)合優(yōu)化運(yùn)行耦合模型求解的差分-遺傳混合智能算法，即首先利用差分進(jìn)行對(duì)水庫(kù)水電站優(yōu)化運(yùn)行系統(tǒng)進(jìn)行時(shí)間和空間尺度上的離散，再在水電站經(jīng)濟(jì)運(yùn)行模塊中建立遺傳算法求解模型，并將其嵌套于水庫(kù)優(yōu)化調(diào)度模塊的差分模型中，由此實(shí)現(xiàn)傳統(tǒng)算法與優(yōu)化仿生算法間的有效結(jié)合 （3）以陸渾水庫(kù)輸水洞水電站為實(shí)例，建立水庫(kù)水電站聯(lián)合優(yōu)化調(diào)度模型，，并利用差分-遺傳混合智能算法進(jìn)行求解分析。計(jì)算結(jié)果表明，該耦合模型能較好地反映電站的實(shí)際運(yùn)行狀況，模型求解算法有效可靠，能較好地指導(dǎo)電站的生產(chǎn)運(yùn)營(yíng)。
[Abstract]:In recent years, the continuous adjustment and evolution of the world energy market has led to major changes in the global energy pattern. The contradiction between energy supply and demand, energy utilization and environmental protection is increasingly prominent in China. At the same time, China is actively implementing the policy of energy conservation and emission reduction, the pace of energy structure adjustment is accelerating. The strategic position of clean energy, represented by water energy, is becoming increasingly important in ensuring economic and social development and energy security supply. China is rich in hydropower resources, as the main form of development and utilization of hydropower resources. Hydropower has advantages in the utilization of non-fossil clean energy in China because of its advantages of environmental protection, economy, flexible operation and mature technology. After the 12th Five-Year Plan, with the completion of a large number of reservoirs and hydropower stations, operation. Planning, hydropower construction in China has entered a period of rapid development. Under this background, it is of high practical significance and application value to carry out the research on optimal operation of reservoir hydropower stations. This paper first summarizes the domestic and foreign research status and related theories of optimal operation of reservoir hydropower stations, and then puts forward the idea of joint optimal operation of reservoirs and hydropower stations. The mathematical model of coupling the two is established and solved by using the Different-Genetics Hybrid Intelligent algorithm (DGMIA). Finally, an example of Luhun Reservoir Power Station is used to analyze the model and algorithm. The main research contents of this paper are summarized as follows: 1) in view of the fact that the optimal operation of the reservoir is not consistent with the economic operation results of the hydropower station, it is determined that the cited flow of power generation of the hydropower station is taken as the coupling connection factor. Based on this, the coupling model of joint optimal operation of reservoir hydropower stations is established, that is to say, the optimal distribution of the lower discharge in each period of time in the optimal operation of the reservoir is carried out among the units in the hydropower plant. Therefore, the sum of the optimal generating force of each unit is faced with benefit as the calculation period of reservoir optimal operation, thus realizing the combination of economic operation of hydropower station and optimal operation of reservoir. 2) in view of the multi-constraint and strong nonlinear characteristics of the coupling problem of reservoir hydropower stations, this paper presents a Different-genetic hybrid intelligent algorithm suitable for solving the coupled model of joint optimal operation of reservoirs and hydropower stations. That is to say, the optimal operation system of reservoir hydropower station is discretized in time and space scale by using difference, and then the genetic algorithm model is established in the economic operation module of hydropower station. It is nested in the differential model of reservoir optimal dispatching module, which realizes the effective combination between the traditional algorithm and the optimization bionic algorithm. Taking Shuidong Hydropower Station of Luhun Reservoir as an example, the joint optimal operation model of the reservoir hydropower station is established, and the solution is analyzed by using the Different-genetic Hybrid Intelligent algorithm. The calculation results show that. The coupling model can well reflect the actual operation of the power plant, and the algorithm for solving the model is effective and reliable, which can guide the operation of the power plant.
【學(xué)位授予單位】：鄭州大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TV737;TV697.1

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