本文選題：冷熱電聯(lián)供 + 聯(lián)供系統(tǒng)優(yōu)化��； 參考：《電子科技大學(xué)》2014年碩士論文

【摘要】：冷熱電聯(lián)供系統(tǒng)是一種建立能源梯級利用的基礎(chǔ)之上,它是將能源一次燃燒后的余熱等多余能量加以回收利用,形成制冷、供熱及發(fā)電一體的綜合能源供應(yīng)系統(tǒng),具有能源利用效率高、環(huán)境污染少,生產(chǎn)可控可調(diào)等優(yōu)點,具有廣闊的發(fā)展前景。各發(fā)達國家都在積極發(fā)展以冷熱電聯(lián)供系統(tǒng)為代表的分布式能源系統(tǒng),逐步提高能源的利用效率,緩解能源危機。我國也在大力開展冷熱電聯(lián)供系統(tǒng)應(yīng)用,在全國范圍內(nèi)建立了數(shù)個試點工程。長期以來,冷熱電聯(lián)供系統(tǒng)的優(yōu)化,大多數(shù)都是熱力學(xué)為基礎(chǔ),進行能源生產(chǎn)端的設(shè)備調(diào)節(jié)和流程優(yōu)化,無法兼顧消費端的實時消費需求,其優(yōu)化過程有相當大的局限。本文以信息化為手段,同時考慮客戶的消費需求和能源生產(chǎn)的過程優(yōu)化,并把對能源生產(chǎn)實際效益有重大影響的運營費用考慮在內(nèi),建立一個應(yīng)用于冷熱電聯(lián)供的能源生產(chǎn)優(yōu)化運營管理系統(tǒng),為能源企業(yè)的生產(chǎn)運營提供參考。本文首先對冷熱電聯(lián)供系統(tǒng)的生產(chǎn)端和消費端進行分析,提出了利用客戶的實時消費需求進行能源生產(chǎn)端的反饋調(diào)節(jié)的優(yōu)化方法,同時利用多目標優(yōu)化方法對能源生產(chǎn)端的生產(chǎn)流程進行優(yōu)化,并最終建立了優(yōu)化系統(tǒng)的整體架構(gòu)和各個模塊的設(shè)計與實現(xiàn)。本文在對生產(chǎn)流程進行詳細分析的基礎(chǔ)之上,提出了基于負荷預(yù)測的冷熱電聯(lián)供優(yōu)化模型。該模型首先對用戶端的歷史負荷數(shù)據(jù)進行分析,找到影響負荷的相關(guān)因素,并建立未來一段時間的負荷預(yù)測,將負荷預(yù)測值送至能源生產(chǎn)端,按照這個負荷值和相關(guān)的目標函數(shù)對冷熱電聯(lián)供系統(tǒng)的運行策略進行優(yōu)化。該優(yōu)化模型主要由兩大功能模塊:負荷預(yù)測和系統(tǒng)運營優(yōu)化。負荷預(yù)測是對用戶消費的歷史數(shù)據(jù)進行分析,并考慮到影響用戶消費的其它因素,建立模型,對用戶未來一個周期的消費數(shù)據(jù)進行預(yù)測。系統(tǒng)運營優(yōu)化是根據(jù)負荷預(yù)測得到的數(shù)據(jù)對能源生產(chǎn)機組進行優(yōu)化,滿足用戶的消費需求,并設(shè)定以最小運營費用和最小污染物排放量為優(yōu)化目標,利用Pareto優(yōu)化方法,得到系統(tǒng)運行的最優(yōu)解集,按照最優(yōu)解集里的解對機組設(shè)備進行調(diào)整。實驗證明該優(yōu)化方法降低了生產(chǎn)成本,提高了環(huán)境效益。
[Abstract]:The combined cooling and heat supply system is a kind of integrated energy supply system based on the energy cascade utilization. It is a comprehensive energy supply system which reclaims the excess energy such as the residual heat after the primary combustion of energy and forms an integrated system of refrigeration, heat supply and power generation. It has many advantages, such as high energy efficiency, less environmental pollution, controllable and adjustable production. All the developed countries are actively developing distributed energy systems represented by the combined cooling and heat supply system, gradually improving the efficiency of energy use and alleviating the energy crisis. China is also vigorously developing the application of the combined cooling and heat supply system, and several pilot projects have been established throughout the country. For a long time, most of the optimization of the cooling and heat supply system is based on thermodynamics. The equipment adjustment and process optimization of the energy production end can not take into account the real-time consumption demand of the consumer side, and the optimization process is quite limited. This paper takes informatization as a means, takes into account the customer's consumption demand and the optimization of the energy production process, and takes into account the operating expenses which have a significant impact on the actual benefits of energy production. An energy production optimization operation management system applied to combined cooling and heat supply is established, which provides a reference for the production and operation of energy enterprises. In this paper, firstly, the production and consumer end of the CCHP system is analyzed, and the optimization method of feedback regulation of the energy production terminal is put forward, which is based on the real-time consumption demand of the customer. At the same time, the multi-objective optimization method is used to optimize the production process of the energy production end, and finally, the overall structure of the optimization system and the design and implementation of each module are established. Based on the detailed analysis of the production process, a combined cooling and heat supply optimization model based on load forecasting is proposed in this paper. The model firstly analyzes the historical load data of the user side, finds out the relevant factors that affect the load, and establishes the load forecasting for a period of time in the future, and sends the load forecast value to the energy production end. According to the load value and the related objective function, the operation strategy of the combined cooling and heat supply system is optimized. The optimization model consists of two functional modules: load forecasting and system operation optimization. Load forecasting is to analyze the historical data of consumer consumption and to establish a model to predict the consumption data in a future cycle taking into account other factors that affect the consumption of users. System operation optimization is to optimize the energy production units according to the data from load forecasting to meet the consumer's consumption demand, and set the minimum operating cost and the minimum pollutant emissions as the optimization goal, using the Pareto optimization method. The optimal solution set is obtained and the unit equipment is adjusted according to the solution in the optimal solution set. The experimental results show that the optimization method reduces the production cost and improves the environmental benefit.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM611.3

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本文編號：1955790