【摘要】：國內(nèi)外經(jīng)濟(jì)、能源形式的深刻變化，給電網(wǎng)的發(fā)展帶來新的機(jī)遇和挑戰(zhàn)。近年來，智能電網(wǎng)的建設(shè)不斷深入，現(xiàn)代電網(wǎng)信息化、自動(dòng)化、互動(dòng)化的特征愈發(fā)明顯，為電網(wǎng)起著強(qiáng)力支撐作用的電力通信網(wǎng)絡(luò)也隨之發(fā)生著深刻的變革。隨著信息通信技術(shù)與電力生產(chǎn)、經(jīng)營的深度滲透，電網(wǎng)對電力通信網(wǎng)絡(luò)的依賴性越來越強(qiáng)，通信網(wǎng)絡(luò)的可靠性和傳輸性能也成為影響電網(wǎng)安全穩(wěn)定運(yùn)行的關(guān)鍵因素。 隨著網(wǎng)絡(luò)拓?fù)涞娜找鎻?fù)雜、業(yè)務(wù)需求的逐步豐富，電力通信網(wǎng)絡(luò)中的負(fù)載不均衡問題也愈發(fā)嚴(yán)重，部分核心節(jié)點(diǎn)或重要鏈路承載著大量的業(yè)務(wù)數(shù)據(jù)，一方面增加了網(wǎng)絡(luò)的脆弱性；另一方面降低了網(wǎng)絡(luò)資源的利用效率。傳統(tǒng)的優(yōu)化策略由于未考慮電力通信網(wǎng)絡(luò)拓?fù)浜蜆I(yè)務(wù)流量的特殊屬性，難以直接應(yīng)用。本文依據(jù)電力通信網(wǎng)絡(luò)的拓?fù)涮匦院蜆I(yè)務(wù)流量屬性，針對電力通信網(wǎng)絡(luò)拓?fù)鋬?yōu)化、業(yè)務(wù)流量分析和預(yù)測及路由優(yōu)化問題進(jìn)行了研究，主要內(nèi)容包括以下幾個(gè)方面： （1）在魯棒性和脆弱性分析的基礎(chǔ)上，提出了基于節(jié)點(diǎn)介數(shù)加矩陣的拓?fù)鋬?yōu)化算法，主要針對網(wǎng)絡(luò)中的薄弱環(huán)節(jié)進(jìn)行拓?fù)鋬?yōu)化。優(yōu)化算法首先基于節(jié)點(diǎn)介數(shù)加矩陣生成優(yōu)化鏈路集，然后通過增加有限數(shù)量的鏈路來實(shí)現(xiàn)優(yōu)化目標(biāo)，同時(shí)采用重復(fù)節(jié)點(diǎn)回避機(jī)制避免網(wǎng)絡(luò)業(yè)務(wù)的過度集中。仿真實(shí)驗(yàn)表明，該算法能夠有效增強(qiáng)網(wǎng)絡(luò)抵御選擇性攻擊的能力，延緩網(wǎng)絡(luò)的一次效能突降現(xiàn)象，同時(shí)可以提高關(guān)鍵節(jié)點(diǎn)的帶寬利用效率，降低關(guān)鍵節(jié)點(diǎn)發(fā)生擁塞的幾率，對電力通信網(wǎng)絡(luò)拓?fù)涞膬?yōu)化具有更強(qiáng)的針對性和更明顯的效果。 （2）基于ARIMA（Autoregressive Integrated Moving Average Model）模型提出了適用于電力通信網(wǎng)絡(luò)流量特點(diǎn)的流量分析預(yù)測方法，對電力通信業(yè)務(wù)流量進(jìn)行了分析和預(yù)測。按照ARIMA建模流程和方法，重點(diǎn)對生產(chǎn)數(shù)據(jù)業(yè)務(wù)和視頻業(yè)務(wù)進(jìn)行了流量分析與預(yù)測，通過數(shù)據(jù)預(yù)處理、確定模型參數(shù)、模型建立等幾個(gè)步驟構(gòu)建電力通信業(yè)務(wù)流量分析預(yù)測模型，并采用殘差檢驗(yàn)的方法對模型的適用性進(jìn)行驗(yàn)證。仿真實(shí)驗(yàn)表明，本文提出的流量分析和預(yù)測方法充分考慮了流量自身變化趨勢、周期性等因素，能夠較好的適應(yīng)電力通信業(yè)務(wù)流量特點(diǎn)，有效提高了模型擬合的精確度和預(yù)測的準(zhǔn)確度。 （3）提出了一種基于鏈路權(quán)重控制的可變等價(jià)多路徑模型VECMP（VariableEqual-Cost Multi-Path），，并基于改進(jìn)遺傳算法設(shè)計(jì)IGA-VECMP（ImprovedGenetic Algorithm for Variable Equal-Cost Multi-Path）求解算法，對VECMP模型進(jìn)行求解。其中，VECMP模型基于鏈路權(quán)重可變原則，在傳統(tǒng)ECMP模型的基礎(chǔ)上引入鏈路狀態(tài)控制因子，依據(jù)節(jié)點(diǎn)配置比例，通過動(dòng)態(tài)選擇策略按照配置優(yōu)先級為相應(yīng)節(jié)點(diǎn)開通ECMP功能，從而實(shí)現(xiàn)網(wǎng)絡(luò)負(fù)載的有效分擔(dān)；IGA-VECMP算法通過對選擇、交叉、變異三種遺傳算子的優(yōu)化改進(jìn)，有效提升了VECMP模型的求解效率。仿真實(shí)驗(yàn)表明，本文提出的IGA-VECMP求解算法能夠快速得到網(wǎng)絡(luò)的最佳權(quán)重配置方案，實(shí)現(xiàn)網(wǎng)絡(luò)負(fù)載的有效均衡，降低最大鏈路利用率，提升網(wǎng)絡(luò)資源的利用效率，在電力通信網(wǎng)絡(luò)路由優(yōu)化領(lǐng)域具有廣泛的應(yīng)用價(jià)值。
[Abstract]:The profound changes in the form of economy and energy at home and abroad bring new opportunities and challenges to the development of the power grid. In recent years, the construction of the intelligent power grid has been continuously deepened, the characteristics of the information, the automation and the interaction of the modern power grid become more obvious, and the electric power communication network which plays a strong supporting role for the power grid also has a profound change. With the deep penetration of the information communication technology and the power production and operation, the dependence of the power grid on the power communication network is becoming more and more strong, and the reliability and transmission performance of the communication network are also the key factors that affect the safe and stable operation of the power grid. With the increasing complexity of network topology and the gradual increase of service demand, the problem of load imbalance in the power communication network is becoming more and more serious. Some core nodes or important links carry a large amount of service data, and on the one hand, the fragility of the network is increased. and on the other hand, the utilization effect of the network resources is reduced, The traditional optimization strategy is difficult to direct due to the special attributes of the network topology and traffic flow of the power communication. In this paper, according to the topology and traffic flow properties of the power communication network, the paper studies the network topology optimization, traffic flow analysis and prediction and route optimization of the power communication network. The main contents of this paper are as follows: Face: (1) Analysis of Robustness and Vulnerability On the base of the base, a topology optimization algorithm based on the node-number-plus-matrix is proposed, which is mainly aimed at the weak links in the network. the optimization algorithm firstly generates an optimized link set based on the node interface number and the matrix, and then realizes the optimization target by adding a limited number of links, and meanwhile, the repeated node avoidance mechanism is adopted to avoid the over-interference of the network service, The simulation experiment shows that the algorithm can effectively enhance the ability of the network to resist the selective attack, delay the one-time performance of the network, improve the bandwidth utilization efficiency of the key nodes, and reduce the congestion of the key nodes. The probability of the power communication network topology is more specific and more obvious (2) Based on the ARIMA (Autoregressive Integrated Moving Average Model) model, the traffic flow analysis and prediction method, which is suitable for the characteristics of the network traffic of the electric power communication, is put forward, and the traffic flow of the power communication is carried out. Analysis and prediction. According to the ARIMA modeling process and method, the traffic analysis and prediction of the production data service and the video service are mainly carried out, and the traffic flow rate of the power communication service is constructed by the steps of data pre-processing, determining the model parameters, establishing the model and the like. Analysis of the prediction model and the application of the residual test method to the model The simulation experiments show that the flow analysis and prediction method proposed in this paper takes fully into account the change tendency and periodicity of the flow, can meet the traffic characteristics of the power communication service well, and effectively improves the accuracy and the pre-set of the model fitting. (3) A variable-equivalent multi-path model VECMP (VariableEqual-Cost Multi-Path) based on link weight control is proposed, and an improved genetic algorithm is designed to solve the VECM. based on the variable principle of the link weight, the VECMP model introduces a link state control factor on the basis of the traditional ECMP model, The effective sharing of the load is achieved. The IGA-VECMP algorithm effectively improves the VECMP by improving the selection, crossover and mutation of the three genetic operators. The simulation results show that the proposed IGA-VECMP algorithm can quickly get the optimal weight configuration of the network, realize the effective balance of the network load, reduce the maximum link utilization rate, and improve the network. The utilization efficiency of the resources has the advantages that the routing optimization field of the electric power communication network has the advantages of
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN915.853;TM73

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