【摘要】：隨著國家進行能源結(jié)構(gòu)優(yōu)化和綠色發(fā)展轉(zhuǎn)型,新能源發(fā)電比重快速增加。新能源接入傳統(tǒng)的電力網(wǎng)絡(luò)后將會使原有配電網(wǎng)絡(luò)的潮流發(fā)生變化,不但會降低電網(wǎng)的供電可靠性,而且還會對電力系統(tǒng)的安全經(jīng)濟運行產(chǎn)生重要影響。無功功率的合理分布是改善電壓水平和降低網(wǎng)絡(luò)有功損耗的不可或缺的前提條件,因此,對含新能源并網(wǎng)的無功優(yōu)化課題進行深入研究,對電網(wǎng)的設(shè)計規(guī)劃、優(yōu)化改善、解決實際運行問題有著重要的指導(dǎo)性作用。本文首先針對新能源的基本特點和發(fā)展現(xiàn)狀,介紹了新能源并網(wǎng)對接入配電網(wǎng)潮流、系統(tǒng)支路總損耗以及節(jié)點電壓的影響。根據(jù)新能源電源并網(wǎng)的類型及其等效模型,本文還對風機發(fā)電和光伏發(fā)電這兩個典型的新能源電源建立了隨機特性模型,并使用改進型的前推回代牛頓拉夫遜解潮流計算方法,在仿真軟件matlab中對IEEE30節(jié)點系統(tǒng)中進行了仿真,驗證了新能源并網(wǎng)對網(wǎng)損以及電壓水平的影響�；谛履茉床⒕W(wǎng)對網(wǎng)損以及電壓的影響,本論文介紹了利用粒子群優(yōu)化算法(PSO)算法求得最優(yōu)值的步驟,通過對標準粒子群算法進行改進,克服了原有算法中存在的收斂精度缺陷。同時以網(wǎng)絡(luò)損耗最小以及負荷節(jié)點上的電壓分布明顯提高作為優(yōu)化的目標函數(shù),考慮功率平衡和相關(guān)變量約束條件,建立了無功優(yōu)化模型。并在仿真軟件matlab中對IEEE9節(jié)點、30節(jié)點、39節(jié)點和57節(jié)點測試系統(tǒng)進行了仿真分析,驗證了PSO算法的優(yōu)化效果。仿真結(jié)果表明,采用本文所提出的無功優(yōu)化方法后,電力系統(tǒng)的無功得到了合理的調(diào)配,新能源并網(wǎng)后的電壓質(zhì)量得到極大改善,并克服了新能源并網(wǎng)后存在的不穩(wěn)定問題,取得了更好的經(jīng)濟效益。
[Abstract]:With the national energy structure optimization and green development transformation, the proportion of new energy power generation is increasing rapidly. After the new energy is connected to the traditional power network, the power flow of the original distribution network will change, which will not only reduce the power supply reliability of the power network, but also have an important impact on the safe and economic operation of the power system. The rational distribution of reactive power is an indispensable prerequisite to improve the voltage level and reduce the active power loss of the network. It is very important to solve the practical operation problem. In this paper, according to the basic characteristics and development status of new energy, the influence of new energy connection on power flow, total loss of system branch and node voltage is introduced in this paper. According to the type and equivalent model of new energy power supply, the stochastic characteristic model of two typical new energy sources, fan power generation and photovoltaic power generation, is established in this paper, and the improved forward pushback Newton Raphson method is used to calculate the power flow. The IEEE30 node system is simulated in the simulation software matlab, which verifies the influence of the new energy grid connection on the network loss and voltage level. Based on the influence of new energy grid connection on network loss and voltage, this paper introduces the steps of using particle swarm optimization (PSO) algorithm to obtain the optimal value, and improves the standard particle swarm optimization algorithm. It overcomes the shortcoming of convergence precision in the original algorithm. At the same time, taking the minimum network loss and the obvious increase of voltage distribution on load node as the objective function of optimization, considering the power balance and constraints of relevant variables, the reactive power optimization model is established. The test system of IEEE9 nodes, 30 nodes, 39 nodes and 57 nodes is simulated and analyzed in the simulation software matlab, which verifies the optimization effect of the PSO algorithm. The simulation results show that with the proposed reactive power optimization method, the reactive power of the power system is reasonably allocated, the voltage quality is greatly improved after the new energy is connected to the grid, and the instability problem after the new energy is connected to the grid is overcome. Better economic benefits have been achieved.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TM614;TM714.3

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