【摘要】：國內(nèi)外有很多的專家和研究人員對工程項目管理的有關(guān)內(nèi)容進行了多年的研究,并取得了很多優(yōu)秀的成果,但他們的研究重點主要集中在進度和費用管理上,很少有人專門針對電力建設(shè)項目的多目標優(yōu)化問題進行研究,關(guān)于風電建設(shè)項目的研究更是缺乏。風電建設(shè)項目具有投資大、涉及的參與方較多、施工環(huán)境惡劣、施工技術(shù)復(fù)雜等特點,如何對風電建設(shè)項目進行有效的管理成為急需解決的問題。因此本文針對該問題,構(gòu)建了基于協(xié)同論的風電建設(shè)項目多目標優(yōu)化模型。本文首先對比了傳統(tǒng)多目標優(yōu)化方法和遺傳算法,分析了遺傳算法的內(nèi)涵和優(yōu)點以及協(xié)同思想的概念,將協(xié)同理念引入遺傳算法中,設(shè)計風電建設(shè)項目三大子目標協(xié)同優(yōu)化流程。接著本文分析了風電建設(shè)項目的土建工程和電氣工程施工流程,并在此基礎(chǔ)上構(gòu)建了相應(yīng)的多目標系統(tǒng),具體分析了風電建設(shè)項目的進度目標、成本目標和質(zhì)量目標,主要介紹各目標的影響因素、管控措施及量化表示方法。然后本文探討了風電建設(shè)項目三大目標之間的對立統(tǒng)一關(guān)系,給出了兩兩子目標之間的近似關(guān)系式,并分別構(gòu)建了進度目標、成本目標、質(zhì)量目標方程和協(xié)同效應(yīng)目標方程。最后為了驗證該模型在實際應(yīng)用中的可行性和有效性,本文進行了算例分析,運用前述多目標優(yōu)化方法對一個簡單的工程項目模型進行求解,得到了相應(yīng)的多目標優(yōu)化解集。傳統(tǒng)多目標優(yōu)化方法對目標函數(shù)有許多條件的限制,本文對三大目標進行量化表示,并采用遺傳算法進行風電建設(shè)項目多目標優(yōu)化問題求解,提高了運算效率,也為三大目標的量化管理提供了思路。本文用協(xié)同貢獻度來表示三個目標達到最優(yōu)狀態(tài)時各個子目標對整體目標的貢獻程度,構(gòu)建協(xié)同效應(yīng)目標、進度目標、質(zhì)量目標和成本目標的優(yōu)化模型,為風電建設(shè)項目的多目標優(yōu)化管理提供了具有借鑒價值的思路。
[Abstract]:There are many experts and researchers at home and abroad who have studied the relevant contents of project management for many years, and achieved many excellent results, but their research focus is mainly on progress and cost management. There are few researches on multi-objective optimization of electric power construction projects, and the research on wind power construction projects is even less. Wind power construction projects have the characteristics of large investment, involving more participants, poor construction environment, complex construction technology, and so on. How to effectively manage wind power construction projects has become an urgent problem to be solved. Therefore, a multi-objective optimization model of wind power construction project based on synergetic theory is constructed in this paper. In this paper, the traditional multi-objective optimization method and genetic algorithm are compared, and the connotation and advantages of genetic algorithm and the concept of cooperative thought are analyzed, and the cooperative idea is introduced into genetic algorithm. Design wind power construction project three major objectives collaborative optimization process. Then this paper analyzes the construction process of civil and electrical projects of wind power construction projects, and on this basis, constructs the corresponding multi-objective system, and analyzes the progress objectives, cost targets and quality objectives of wind power construction projects. This paper mainly introduces the influencing factors of each target, the control measures and the quantitative expression method. Then this paper discusses the unity of opposites between the three objectives of wind power construction project, gives the approximate relationship between two sub-objectives, and constructs the schedule target, cost target, quality goal equation and synergistic effect objective equation respectively. Finally, in order to verify the feasibility and validity of the model in practical application, an example analysis is carried out, and a simple engineering project model is solved by using the above-mentioned multi-objective optimization method, and the corresponding multi-objective optimization solution set is obtained. The traditional multi-objective optimization method has many limitations on the objective function. In this paper, the three goals are expressed quantitatively, and the genetic algorithm is used to solve the multi-objective optimization problem of wind power construction project, which improves the computational efficiency. It also provides ideas for the quantitative management of the three goals. In this paper, the contribution degree of each sub-goal to the overall goal is represented by the degree of cooperative contribution, and the optimization model of synergy goal, progress goal, quality goal and cost target is constructed. It provides a valuable idea for the multi-objective optimization management of wind power construction project.
【學位授予單位】：華北電力大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：F426.6;TP18

【參考文獻】

相關(guān)期刊論文 前3條

1 李俊峰;施鵬飛;高虎;;中國風電產(chǎn)業(yè)發(fā)展現(xiàn)狀與展望[J];電氣時代;2011年03期

2 李德瑜;鄒沛思;賀燦飛;;中國風電設(shè)備制造業(yè)發(fā)展與空間格局研究[J];地理科學進展;2014年09期

3 盧啟衡;馮曉云;王青元;;基于遺傳算法的追蹤列車節(jié)能優(yōu)化[J];西南交通大學學報;2012年02期

，

本文編號：2206539