本文選題：梯級(jí)泵站優(yōu)化調(diào)度　切入點(diǎn)：Agent　出處：《蘭州理工大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：梯級(jí)泵站被廣泛應(yīng)用到區(qū)域內(nèi)及區(qū)域間的調(diào)水工程中,但是,由于梯級(jí)泵站在運(yùn)行過(guò)程中各個(gè)泵站的流量、揚(yáng)程密切相關(guān),加之各泵站機(jī)組臺(tái)數(shù)不一,輸水路線長(zhǎng),沿途區(qū)間分水多等原因,使得梯級(jí)泵站在運(yùn)行管理上存在較大困難,在實(shí)際運(yùn)行中往往由于決策不當(dāng),造成能源大量浪費(fèi),效益低下,這一問(wèn)題也被許多專家所重視,對(duì)梯級(jí)泵站系統(tǒng)調(diào)度進(jìn)行優(yōu)化,實(shí)現(xiàn)節(jié)能的前景非�？捎^。 在原有的梯級(jí)泵站優(yōu)化調(diào)度的理論基礎(chǔ)上,將多Agent理論引入梯級(jí)泵站的優(yōu)化調(diào)度中,將Agent的自主性、協(xié)調(diào)性等特點(diǎn)應(yīng)用到該系統(tǒng)中,建立了一個(gè)基于多Agent的梯級(jí)泵站優(yōu)化調(diào)度系統(tǒng),以提高泵站的運(yùn)行效率,降低運(yùn)行能耗。主要研究?jī)?nèi)容有： (1)對(duì)梯級(jí)泵站的基礎(chǔ)理論和國(guó)內(nèi)外的研究現(xiàn)狀進(jìn)行了介紹,并根據(jù)梯級(jí)泵站調(diào)度過(guò)程中存在的一些問(wèn)題,提出了本文的主要研究?jī)?nèi)容、整體思路及創(chuàng)新點(diǎn)。 (2)對(duì)梯級(jí)泵站優(yōu)化調(diào)度的方法、基本思想以及多Agent理論做了詳細(xì)的介紹,進(jìn)而建立了基于多Agent的梯級(jí)泵站優(yōu)化調(diào)度系統(tǒng)模型。該系統(tǒng)由泵站多Agent子系統(tǒng)、算法多Agent子系統(tǒng)以及一個(gè)管理Agent和一個(gè)通信Agent構(gòu)成,管理Agent和通信Agent用來(lái)協(xié)調(diào)兩個(gè)多Agent子系統(tǒng)共同完成系統(tǒng)的任務(wù)。 (3)通過(guò)分析梯級(jí)泵站優(yōu)化調(diào)度的特點(diǎn)及多Agent系統(tǒng)的通信協(xié)調(diào)的類型特點(diǎn)等,確定了本系統(tǒng)的協(xié)調(diào)模型及通信語(yǔ)言。對(duì)泵站子系統(tǒng)與算法子系統(tǒng)兩個(gè)子系統(tǒng)之間的通信協(xié)調(diào)以及各子系統(tǒng)內(nèi)部的通信協(xié)調(diào)進(jìn)行了介紹,確定了系統(tǒng)完成任務(wù)的詳細(xì)步驟。 (4)將多Agent理論與遺傳算法相結(jié)合,建立算法多Agent子系統(tǒng),采用并行微種群遺傳算法對(duì)數(shù)據(jù)進(jìn)行處理。并對(duì)梯級(jí)泵站歷史數(shù)據(jù)進(jìn)行優(yōu)化處理,通過(guò)結(jié)果對(duì)比,本系統(tǒng)可有效降低系統(tǒng)運(yùn)行時(shí)的能耗,相應(yīng)的提高了梯級(jí)泵站的經(jīng)濟(jì)效益。
[Abstract]:Cascade pumping stations are widely used in regional and inter-regional water transfer projects. However, due to the close relationship between the discharge and lift of each pumping station during the operation of the cascade pumping station, the number of units in each pumping station is different, and the water conveyance line is long. There are many problems in the operation and management of cascade pumping stations due to the large water distribution along the road, which is often due to improper decision making in actual operation, resulting in a large amount of energy waste and low efficiency. This problem has also been paid attention to by many experts. Optimization of cascade pumping station system scheduling, energy-saving prospects are very impressive. On the basis of the original theory of optimal dispatching of cascade pumping stations, the multiple Agent theory is introduced into the optimal dispatching of cascade pumping stations. The autonomy and coordination of Agent are applied to the system. A cascade pumping station optimal dispatching system based on multiple Agent is established in order to improve the operation efficiency of the pumping station and reduce the running energy consumption. The main research contents are as follows:. This paper introduces the basic theory of cascade pumping station and the present research situation at home and abroad. According to some problems existing in the dispatching process of cascade pumping station, it puts forward the main research contents, overall ideas and innovation points of this paper. 2) the method, basic idea and multi-#en0# theory of optimal dispatching of cascade pumping station are introduced in detail, and then the optimal dispatching system model of cascade pumping station based on multiple Agent is established. The system is composed of multi-#en2# subsystem of pumping station. The algorithm is composed of multiple Agent subsystem, a management Agent and a communication Agent. The management Agent and the communication Agent are used to coordinate the two multi-#en5# subsystems to complete the task of the system. 3) by analyzing the characteristics of optimal dispatching of cascade pumping stations and the type of communication coordination of multi-#en0# system, etc. The coordination model and communication language of the system are determined. The communication coordination between the two subsystems of pump station subsystem and algorithm subsystem and the communication coordination within each subsystem are introduced, and the detailed steps to complete the task of the system are determined. 4) combining multiple Agent theory with genetic algorithm, the multi-algorithm Agent subsystem is established, and the parallel micropopulation genetic algorithm is used to process the data, and the historical data of cascade pumping station are optimized, and the results are compared. The system can effectively reduce the energy consumption while the system is running, and improve the economic benefits of the cascade pumping station.
【學(xué)位授予單位】：蘭州理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TV675

【參考文獻(xiàn)】

相關(guān)期刊論文 前8條

1 俞衛(wèi)華;石靜;;基于FIPA的多Agent系統(tǒng)通信研究[J];電腦知識(shí)與技術(shù);2008年26期

2 史忠植;;智能科學(xué)技術(shù)[J];計(jì)算機(jī)教育;2004年01期

3 喬兵,朱劍英;多Agent智能制造系統(tǒng)研究綜述[J];南京航空航天大學(xué)學(xué)報(bào);2001年01期

4 劉大有,楊鯤,陳建中;Agent研究現(xiàn)狀與發(fā)展趨勢(shì)[J];軟件學(xué)報(bào);2000年03期

5 高占義,謝崇寶,黃斌;高揚(yáng)程多梯級(jí)泵站提水灌區(qū)用水管理調(diào)度技術(shù)[J];水利水電技術(shù);2002年02期

6 姜文來(lái);初論水資源管理學(xué)[J];中國(guó)水利;2004年03期

7 翁文勇;何晨;;KQML在電子商務(wù)物流一體化系統(tǒng)中的應(yīng)用研究[J];計(jì)算機(jī)系統(tǒng)應(yīng)用;2009年02期

8 賈仁甫;王紅;金明宇;陳守倫;;調(diào)水工程中梯級(jí)泵站的優(yōu)化調(diào)度研究[J];揚(yáng)州大學(xué)學(xué)報(bào)(自然科學(xué)版);2006年02期

，

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