【摘要】：制造業(yè)行業(yè)面臨控制成本的壓力,能源成本在其生產(chǎn)中占比巨大,尤其是電力成本,如何控制能源成本對企業(yè)提高競爭力具有重要意義。因為電是能源轉(zhuǎn)化后的產(chǎn)物,所以能源價格不斷上升便間接導致了電價的不斷升高與稀缺。本文以電力資源為對象,研究動態(tài)電價環(huán)境下,企業(yè)生產(chǎn)任務優(yōu)化安排的問題,對企業(yè)優(yōu)化生產(chǎn)降低能源成本有實際意義。過去的生產(chǎn)任務安排是不考慮能源價格的,若在能源價格波動時,在生產(chǎn)安排中增加一個約束,將是對生產(chǎn)計劃理論的擴充,對生產(chǎn)計劃優(yōu)化具有理論意義。論文首先分析了目前能源價格上漲的背景對于企業(yè)的影響,并指出了本文的研究意義。其次,本文提出了面向動態(tài)電價的生產(chǎn)計劃(Dynamic Electricity Price Oriented Production Plan, DEPOPP)建模問題,對總體方案進行了設計,以降低電力成本與縮短產(chǎn)品等待時間為目標建立了生產(chǎn)計劃優(yōu)化模型。接下來本文對模型進行分析,提出了基于動態(tài)規(guī)劃思想的算法以求解本文中的生產(chǎn)優(yōu)化模型。利用該算法對幾種典型動態(tài)電價模式進行了案例分析,隨后對模型中重要的量綱轉(zhuǎn)換參數(shù)進行了參數(shù)分析。最后利用論文中核心算法的思想,設計優(yōu)化工具系統(tǒng),對關鍵功能實現(xiàn)進行詳細設計,并介紹該工具的運行實例。本論文建立了以電力成本和等待時間為目標的優(yōu)化模型,并基于動態(tài)規(guī)劃思想提出算法,經(jīng)過計算對比證實了算法的有效性。這里的生產(chǎn)計劃模型目標為理論研究,主要考慮時間成本與電力成本,如果考慮更多的如人力成本、庫存成本等,模型需要做進一步調(diào)整研究,但本文提出的算法依然具備參考作用。在實際應用中還要注意模型中的實際參數(shù)設置。
[Abstract]:The manufacturing industry is faced with the pressure of cost control, and the energy cost accounts for a large proportion in its production, especially the power cost. How to control the energy cost is of great significance for enterprises to improve their competitiveness. Since electricity is the product of energy conversion, rising energy prices indirectly lead to higher and scarcer electricity prices. Taking electric power resources as the object, this paper studies the optimization of production tasks in dynamic electricity price environment, which is of practical significance for enterprises to optimize production and reduce energy costs. In the past, the production task arrangement did not consider the energy price. If a constraint was added to the production arrangement when the energy price fluctuated, it would be an extension of the production planning theory and would have theoretical significance for the optimization of the production plan. Firstly, the paper analyzes the influence of the background of the rising energy price on the enterprises, and points out the significance of this paper. Secondly, this paper presents the production planning (Dynamic Electricity Price Oriented Production Plan, DEPOPP) modeling problem for dynamic electricity pricing, designs the overall scheme, and establishes the production planning optimization model with the goal of reducing the power cost and shortening the waiting time of the product. Then the model is analyzed and an algorithm based on dynamic programming is proposed to solve the production optimization model in this paper. The algorithm is used to analyze several typical dynamic electricity pricing models, and then the important dimensionality conversion parameters in the model are analyzed. Finally, using the idea of the core algorithm in the paper, the optimization tool system is designed, and the key function realization is designed in detail, and the running example of the tool is introduced. In this paper, an optimization model with the goal of power cost and waiting time is established, and the algorithm is proposed based on the idea of dynamic programming. The validity of the algorithm is verified by calculation and comparison. The goal of the production planning model is the theoretical research, mainly considering the time cost and the electricity cost. If we consider more such as labor cost, inventory cost and so on, the model needs to be further adjusted and studied. However, the algorithm proposed in this paper still has reference function. In the practical application, we should pay attention to the actual parameter setting in the model.
【學位授予單位】：浙江大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：F273

【參考文獻】

相關期刊論文 前7條

1 陳治平;潘飛;浦子耿;;制造行業(yè)能源的精細化管理與成本控制[J];上海節(jié)能;2014年06期

2 朱成章;;關于我國實行階梯電價的建議和設想[J];中外能源;2010年05期

3 ;電力市場的基本特征和基本原則[J];廣西電業(yè);2002年04期

4 彭輝;分時電價的理論及其計算方法[J];湖北電力;2002年01期

5 小雅;日本電價結(jié)構(gòu)[J];華北電業(yè);2001年09期

6 馬光文;王黎;;水電上網(wǎng)電價的形成模式研究[J];湖北水利發(fā)電;2001年03期

7 王軍,金以慧;連續(xù)過程生產(chǎn)調(diào)度的研究策略[J];系統(tǒng)工程理論與實踐;1998年05期

相關碩士學位論文 前4條

1 程佳佳;支持配置的鋼管制造過程管理系統(tǒng)研究[D];浙江大學;2016年

2 劉舒寧;支持復用的軟構(gòu)件管理技術與系統(tǒng)研究[D];浙江大學;2015年

3 楊亞剛;水電廠競價上網(wǎng)決策支持系統(tǒng)研究[D];西安理工大學;2008年

4 臧雪飛;基于最優(yōu)潮流的電力系統(tǒng)無功定價研究[D];廣西大學;2005年

，

本文編號：2357930