發(fā)布時間：2018-08-04 14:53

【摘要】：隨著我國社會經(jīng)濟的不斷發(fā)展、人民生活水平的不斷提升,人們對于高質(zhì)量電能的需求越來越強烈。近年來,我國電力事業(yè)發(fā)展十分迅速,配電網(wǎng)作為直接面向電力用戶的關(guān)鍵環(huán)節(jié),其中的動態(tài)無功優(yōu)化問題對于我國電力系統(tǒng)的經(jīng)濟安全運行,以及對用戶供電顯得十分必要。本文首先通過分析動態(tài)無功補償?shù)淖饔脵C理,指出了動態(tài)無功補償對配電網(wǎng)的意義;其次詳細介紹了幾種常見的無功補償裝置同步調(diào)相機、靜止電容器、SVC和SVG/STATCOM,比較了不同裝置接入配電網(wǎng)的優(yōu)缺點,同時分析了常用的無功補償方法;其次從經(jīng)濟性角度出發(fā),建立了基于調(diào)節(jié)代價的動態(tài)無功優(yōu)化解耦的數(shù)學(xué)模型,建立目標函數(shù),應(yīng)用粒子群算法求解,得出了各個時段下的電容器組投切量;隨后,針對目前分布式電源的大規(guī)模接入,構(gòu)建了改進的IEEE33配電網(wǎng)系統(tǒng),提出LCPI電壓穩(wěn)定性指標,基于上節(jié)數(shù)學(xué)模型建立了目標函數(shù),應(yīng)用粒子群算法求解,得出了各個時段下的電容器組投切量、分布式電源無功輸出大小,同時驗證了無功優(yōu)化之后系統(tǒng)電壓穩(wěn)定性有所提高;最后應(yīng)用MATLAB中GUI模塊針對上述模型編寫了基于粒子群算法的配電網(wǎng)動態(tài)無功優(yōu)化軟件。
[Abstract]:With the development of social economy and the improvement of people's living standard, the demand for high quality electric energy is more and more intense. In recent years, the electric power industry of our country develops very quickly, the distribution network is the key link of facing the electric power user directly, the dynamic reactive power optimization problem is very necessary for the safe operation of the electric power system of our country and the power supply to the user. By analyzing the mechanism of dynamic reactive power compensation, the significance of dynamic reactive power compensation to distribution network is pointed out in this paper. Static capacitor SVC and SVG / STATCOMare compared the advantages and disadvantages of different devices to the distribution network, and analyzed the common reactive power compensation methods. Secondly, from the economic point of view, the mathematical model of dynamic reactive power optimization decoupling based on regulating cost is established. The objective function is established, and particle swarm optimization algorithm is used to solve the problem, and the switching capacity of capacitor banks is obtained in each time period. Then, an improved IEEE33 distribution network system is constructed for the large-scale access of distributed power supply, and the LCPI voltage stability index is proposed. Based on the mathematical model of the previous section, the objective function is established, and the particle swarm optimization algorithm is used to solve the problem. The switching capacity of capacitor banks and the reactive power output of distributed power supply are obtained. At the same time, it is verified that the system voltage stability has been improved after reactive power optimization. Finally, the dynamic reactive power optimization software of distribution network based on particle swarm optimization (PSO) is compiled by GUI module in MATLAB.
【學(xué)位授予單位】：華北電力大學(xué)(北京)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TM727

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