本文選題：蒸汽動(dòng)力系統(tǒng)　切入點(diǎn)：隨機(jī)規(guī)劃　出處：《大連理工大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：目前我國(guó)的能源和環(huán)境問(wèn)題日益嚴(yán)峻,石化企業(yè)的節(jié)能減排勢(shì)在必行。其中蒸汽動(dòng)力系統(tǒng)是過(guò)程工業(yè)的重要組成部分,它消耗大量的一次能源為過(guò)程系統(tǒng)提供蒸汽、電力等。在實(shí)際蒸汽動(dòng)力系統(tǒng)優(yōu)化設(shè)計(jì)中不可避免包含蒸汽電力需求變化、能源價(jià)格波動(dòng)等不確定因素。不確定因素會(huì)使系統(tǒng)操作偏離最優(yōu)設(shè)計(jì)狀態(tài),造成設(shè)計(jì)策略保守或過(guò)程不合理,甚至帶來(lái)安全隱患,所以在蒸汽動(dòng)力系統(tǒng)設(shè)計(jì)中進(jìn)行不確定優(yōu)化研究具有重要的理論和實(shí)際意義。因此,本論文提出應(yīng)用隨機(jī)規(guī)劃策略對(duì)不確定蒸汽動(dòng)力系統(tǒng)設(shè)計(jì)優(yōu)化進(jìn)行研究。首先分析了蒸汽動(dòng)力系統(tǒng)設(shè)計(jì)包含的不確定因素的特性及其對(duì)系統(tǒng)優(yōu)化目標(biāo)和約束條件的影響。將不確定因素的表達(dá)分成兩類：基于時(shí)間變化表達(dá)和基于發(fā)生概率表達(dá)。對(duì)基于時(shí)間變化表達(dá)的因素,轉(zhuǎn)化為多周期問(wèn)題進(jìn)行處理；對(duì)外部工藝過(guò)程變化引起的汽電需求不確定波動(dòng)等基于發(fā)生概率表達(dá)的因素,應(yīng)用隨機(jī)規(guī)劃策略補(bǔ)償不確定參數(shù)的實(shí)現(xiàn)可能引起的約束背離。建立多周期帶補(bǔ)償?shù)碾S機(jī)規(guī)劃MILP模型對(duì)蒸汽動(dòng)力系統(tǒng)進(jìn)行設(shè)計(jì)優(yōu)化。然后,在此基礎(chǔ)上,同時(shí)考慮蒸汽過(guò)熱度來(lái)優(yōu)化蒸汽參數(shù)的選擇、設(shè)備選擇和各設(shè)備的操作負(fù)荷。并通過(guò)案例來(lái)分析過(guò)熱度對(duì)蒸汽動(dòng)力系統(tǒng)結(jié)構(gòu)配置和性能的影響。此外,將污染物排放納入蒸汽動(dòng)力系統(tǒng)的設(shè)計(jì)優(yōu)化中,從而在系統(tǒng)設(shè)計(jì)中選擇最優(yōu)燃料,實(shí)現(xiàn)經(jīng)濟(jì)成本和環(huán)境影響的最佳權(quán)衡。案例研究表明：本文提出的多周期帶補(bǔ)償?shù)碾S機(jī)規(guī)劃(MP-SPR)方法是一種確定設(shè)備尺寸、操作負(fù)荷和系統(tǒng)運(yùn)行工況的有效工具。對(duì)不確定因素采取隨機(jī)規(guī)劃策略,通過(guò)調(diào)節(jié)決策和懲罰不足協(xié)調(diào)運(yùn)行的補(bǔ)償方式來(lái)指導(dǎo)操作,使調(diào)度調(diào)節(jié)更加合理,實(shí)現(xiàn)了結(jié)構(gòu)和操作的同時(shí)優(yōu)化,將年操作費(fèi)用降低了9.51%,年投資費(fèi)用降低了4.57%。與傳統(tǒng)確定性方法相比,MP-SPR方法不僅能應(yīng)對(duì)各種汽電需求的不確定變化,同時(shí)保證了系統(tǒng)的安全穩(wěn)定運(yùn)行和經(jīng)濟(jì)效益最優(yōu),提出的設(shè)計(jì)方案使年總費(fèi)用降低了8.72%。蒸汽過(guò)熱度會(huì)影響蒸汽動(dòng)力系統(tǒng)的性能,如蒸汽分配以及產(chǎn)電量等。在系統(tǒng)設(shè)計(jì)中,它還會(huì)影響設(shè)備選擇以及各設(shè)備尺寸等。在適當(dāng)?shù)倪^(guò)熱度范圍內(nèi),當(dāng)改變高壓蒸汽過(guò)熱度時(shí),隨著過(guò)熱度的增大,呈現(xiàn)投資費(fèi)先減小后增加,總費(fèi)用先減小后增加的趨勢(shì)。本研究考慮各種不確定因素以及環(huán)境因素的影響,能為我國(guó)的節(jié)能減排事業(yè)做出巨大貢獻(xiàn),具有重要的理論和實(shí)際意義。
[Abstract]:At present, the energy and environment problems in our country are becoming more and more serious, so it is imperative for petrochemical enterprises to save energy and reduce emissions. Among them, steam power system is an important part of the process industry, and it consumes a lot of primary energy to provide steam for the process system. In the optimization design of actual steam power system, the change of steam power demand, the fluctuation of energy price and other uncertain factors are inevitable. The uncertain factors will make the system operation deviate from the optimal design state. The design strategy is conservative, the process is unreasonable, and even the hidden trouble of safety is brought, so it is of great theoretical and practical significance to study the uncertain optimization in steam power system design. In this paper, stochastic programming strategy is used to study the design optimization of uncertain steam power system. Firstly, the characteristics of uncertain factors in steam power system design and its optimization objectives and constraints are analyzed. The expression of uncertain factors is divided into two categories: expression based on time change and expression based on probability of occurrence. To deal with the multi-period problem, and to deal with the uncertain fluctuation of the demand for steam and electricity caused by the change of the external process process, and so on, based on the factors of probability expression, The stochastic programming strategy is applied to compensate for the constraint deviation caused by the realization of uncertain parameters. A stochastic programming MILP model with compensation is established to optimize the design of steam power system. At the same time, the selection of steam parameters, the selection of equipment and the operating load of each equipment are considered. The influence of superheat on the configuration and performance of steam power system is analyzed by a case study. The pollutant emission is incorporated into the design optimization of the steam power system, and the optimal fuel is selected in the system design. The optimal trade-off between economic cost and environmental impact is achieved. The case study shows that the multi-period stochastic programming with compensation proposed in this paper is a method to determine the size of equipment. An effective tool for operating load and system operating conditions. Random programming strategy is adopted to deal with uncertain factors. The operation is guided by adjusting decision making and compensating for inadequate coordinated operation to make scheduling and regulation more reasonable. The structure and operation are optimized at the same time, the annual operating cost is reduced by 9.51and the annual investment cost is reduced by 4.57.Compared with the traditional deterministic method, the MP-SPR method can not only deal with the uncertain changes of various steam and electricity demand. At the same time, the safe and stable operation of the system and the optimum economic benefit are ensured. The design scheme proposed in this paper reduces the total annual cost by 8.72%. The steam superheat will affect the performance of the steam power system, such as steam distribution and electricity production. It will also affect the selection of equipment and the size of each equipment. In the appropriate superheat range, when the superheating degree of high-pressure steam is changed, with the increase of superheat, the investment cost decreases first and then increases. Considering the influence of various uncertain factors and environmental factors, this study can make a great contribution to the cause of energy saving and emission reduction in China, which has important theoretical and practical significance.
【學(xué)位授予單位】：大連理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TQ083

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2 潘繼萍;考慮不確定因素的化工分離過(guò)程優(yōu)化研究[D];大連理工大學(xué);2008年

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本文編號(hào)：1558055