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梯形艦船電力系統(tǒng)網(wǎng)絡(luò)重構(gòu)模型及算法研究

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  本文選題:艦船電力系統(tǒng) + 網(wǎng)絡(luò)重構(gòu)。 參考:《上海交通大學(xué)》2015年碩士論文


【摘要】:艦船電力系統(tǒng)網(wǎng)絡(luò)重構(gòu)是艦船能源管理中非常關(guān)鍵的部分,也是系統(tǒng)故障恢復(fù)及提高艦船生命力的重要途徑。在艦船電力系統(tǒng)中,網(wǎng)絡(luò)重構(gòu)的作用是在故障發(fā)生并被自動(dòng)隔離之后,找到需要恢復(fù)供電的負(fù)荷或區(qū)域,重新調(diào)整網(wǎng)絡(luò)中各支路開關(guān)的開閉狀態(tài),在所有可能的重構(gòu)策略中,快速的找出一套既能使目標(biāo)函數(shù)最大化,又能滿足網(wǎng)絡(luò)各運(yùn)行約束的重構(gòu)方案。在網(wǎng)絡(luò)重構(gòu)策略生成過程中有兩個(gè)關(guān)鍵子問題:重構(gòu)策略的評(píng)估及重構(gòu)優(yōu)化算法。潮流計(jì)算是重構(gòu)方案評(píng)估的主要內(nèi)容及重要基礎(chǔ)。隨著艦船電力系統(tǒng)網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)的日益復(fù)雜化及網(wǎng)絡(luò)容量的日益增加,越來越多的國(guó)家采用多電站梯形船舶電網(wǎng)的結(jié)構(gòu),但其調(diào)度算法卻非常復(fù)雜。故進(jìn)行針對(duì)梯形艦船電力系統(tǒng)中適用的潮流計(jì)算及網(wǎng)絡(luò)重構(gòu)模型及其優(yōu)化算法的研究是該領(lǐng)域的一項(xiàng)研究熱點(diǎn)及難點(diǎn)。本文首先對(duì)艦船電力系統(tǒng)的網(wǎng)絡(luò)重構(gòu)問題進(jìn)行了描述,分析了重構(gòu)問題為多目標(biāo)、多約束、非線性的整數(shù)規(guī)劃問題的本質(zhì)。隨后介紹了梯形艦船電力系統(tǒng)的結(jié)構(gòu)特點(diǎn)與優(yōu)勢(shì)及艦船電力系統(tǒng)中的各設(shè)備元件的簡(jiǎn)化數(shù)學(xué)模型。之后,本文建立了完整的梯形艦船系統(tǒng)網(wǎng)絡(luò)重構(gòu)的數(shù)學(xué)模型。其次,本文介紹了幾種經(jīng)典的潮流計(jì)算方法及其具體的算法邏輯。隨后針對(duì)梯形船舶電網(wǎng),提出了一種改進(jìn)的并行潮流計(jì)算算法,將梯形艦船電力系統(tǒng)進(jìn)行分層等效成供電主網(wǎng)與配電子網(wǎng),并給不同的子網(wǎng)絡(luò)分配不同的計(jì)算單元,針對(duì)供電網(wǎng)和配電網(wǎng)的網(wǎng)絡(luò)結(jié)構(gòu)特點(diǎn)分別采用節(jié)點(diǎn)電勢(shì)法和前推回推法迭代計(jì)算。仿真實(shí)驗(yàn)驗(yàn)證了其有效性。隨后,本文簡(jiǎn)要介紹了兩種基本的重構(gòu)優(yōu)化算法,并嘗試使用動(dòng)態(tài)規(guī)劃算法中的有背包約束的0-1背包問題對(duì)其求解。此外,本文還改進(jìn)了粒子群算法在梯形船舶電網(wǎng)重構(gòu)問題中的應(yīng)用,針對(duì)系統(tǒng)中存在部分雙路供電負(fù)荷的情況引入了多級(jí)編碼方式,降低了粒子的維數(shù),并將多級(jí)編碼方式推廣至多條供電路徑同時(shí)存在的情況,并針對(duì)多級(jí)編碼對(duì)粒子群算法的離散化過程進(jìn)行了改進(jìn)。本文通過典型的多電站梯形艦船電力系統(tǒng)仿真實(shí)例對(duì)的改進(jìn)算法進(jìn)行了仿真驗(yàn)證,仿真結(jié)果驗(yàn)證了該算法擁有較強(qiáng)的尋優(yōu)能力和較快的收斂速度。最后,本文還給出了基于所提出的綜合分布式并行潮流計(jì)算算法和離散粒子群網(wǎng)絡(luò)重構(gòu)算法的仿真平臺(tái)設(shè)計(jì)框架和主要實(shí)現(xiàn)技術(shù)。本文結(jié)合其圖形交互界面給出了詳細(xì)的系統(tǒng)輸入模塊的數(shù)據(jù)定義,介紹了網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)分析模塊、潮流計(jì)算模塊及網(wǎng)絡(luò)重構(gòu)模塊具體的實(shí)現(xiàn)邏輯細(xì)節(jié),并結(jié)合幾個(gè)具體的算例分別驗(yàn)證了各功能模塊的有效性。
[Abstract]:Network reconfiguration of naval power system is a very important part of ship energy management, and it is also an important way to recover system fault and improve ship vitality. In warship power system, the function of network reconfiguration is to find the load or area that needs to be restored after the fault occurs and is automatically isolated, and to readjust the open and close states of branch switches in the network, and in all possible reconfiguration strategies. Quickly find out a reconstruction scheme which can maximize the objective function and satisfy the network running constraints. There are two key sub-problems in network reconfiguration strategy generation: reconfiguration strategy evaluation and reconfiguration optimization algorithm. Power flow calculation is the main content and important foundation of reconfiguration scheme evaluation. With the increasing complexity of the network topology and the increasing capacity of ship power system, more and more countries adopt the structure of multi-power station trapezoidal ship network, but its scheduling algorithm is very complex. Therefore, it is a hot and difficult point to study the power flow calculation and network reconfiguration model and its optimization algorithm in trapezoidal ship power system. In this paper, the problem of network reconfiguration of ship power system is described, and the essence of integer programming problem with multi-objective, multi-constraint and nonlinear is analyzed. Then it introduces the structural characteristics and advantages of trapezoidal ship power system and the simplified mathematical model of each equipment component in ship power system. After that, a complete mathematical model of network reconstruction of trapezoidal ship system is established. Secondly, this paper introduces several classical power flow calculation methods and their specific algorithm logic. Then an improved parallel power flow calculation algorithm for trapezoidal ship power network is proposed. The trapezoidal ship power system is stratified as the main power supply network and the distribution electronic network, and different computing units are assigned to different sub-networks. According to the network structure characteristics of power supply network and distribution network, the node potential method and the forward push back method are used to calculate the network structure. Simulation results show its effectiveness. Then, this paper briefly introduces two basic reconstruction optimization algorithms, and tries to solve them by using the 0-1 knapsack problem with knapsack constraints in dynamic programming algorithm. In addition, this paper also improves the application of particle swarm optimization algorithm in the problem of grid reconfiguration of trapezoidal ships. A multilevel coding method is introduced to reduce the dimension of particles in the case of partial dual power supply loads in the system. The multilevel coding method is extended to the simultaneous existence of multiple power supply paths, and the discretization process of particle swarm optimization algorithm is improved for multilevel coding. The improved algorithm is verified by a typical simulation example of trapezoidal warship power system of multi-power station. The simulation results show that the algorithm has strong optimization ability and faster convergence speed. Finally, the design framework and main implementation techniques of the simulation platform based on the proposed distributed parallel power flow algorithm and discrete particle swarm optimization network reconstruction algorithm are presented. In this paper, the detailed data definition of the system input module is given based on the graphical interface, and the logic details of the network topology analysis module, the power flow calculation module and the network reconstruction module are introduced. The validity of each functional module is verified by several concrete examples.
【學(xué)位授予單位】:上海交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:U674.703.3

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