【正文】 基于遺傳算法的無功優(yōu)化與控制 目 錄 1 緒論 ........................................................................................................................................ 1 背景與意義 .................................................................................................................. 1 現(xiàn)狀和發(fā)展趨勢 .......................................................................................................... 1 2 電力系統(tǒng)潮流計算問題及其方程求解方法 ........................................................................ 3 電力網(wǎng)絡(luò)方程 .............................................................................................................. 3 節(jié)點導(dǎo)納矩陣 .............................................................................................................. 4 形成節(jié)點導(dǎo)納矩陣 ............................................................................................ 4 節(jié)點導(dǎo)納矩陣的修改 ........................................................................................ 5 功率方程及其迭代解法 .............................................................................................. 7 功率方程 ............................................................................................................ 7 變量的分類 ........................................................................................................ 8 節(jié)點的分類 ...................................................................................................... 10 牛頓 拉夫遜法潮流計算方法 .................................................................................. 11 牛頓 拉夫遜法 ................................................................................................ 11 牛頓 拉夫遜法潮流計算過程 ........................................................................ 12 潮流計算的基本流程 ...................................................................................... 15 牛頓拉夫遜法潮流計算程序源代碼 ........................................................................ 16 3 電力系統(tǒng)無功優(yōu)化問題及其遺傳算法優(yōu)化求解 .............................................................. 17 無功優(yōu)化問題描述及其模型 .................................................................................... 17 遺傳算法的理論基礎(chǔ) ................................................................................................ 18 遺傳算法基本原理及操作過程 ................................................................................ 19 適應(yīng)度函數(shù)定標(biāo) .............................................................................................. 19 初始解的形成 .................................................................................................. 19 遺傳操作 .......................................................................................................... 20 基于遺傳算法的無功優(yōu)化與電壓控制實現(xiàn)的步驟 ................................................ 21 4 算例分析 .............................................................................................................................. 26 IEEE30 節(jié)點系統(tǒng) ........................................................................................................ 26 基于遺傳算法的無功優(yōu)化與控制 潮流計算結(jié)果 ............................................................................................................ 26 算例分析 .................................................................................................................... 26 5 結(jié)論與展望 .......................................................................................................................... 29 參考文獻(xiàn) .................................................................................................................................. 30 附錄 A 牛頓拉夫遜法程序流程圖 ......................................................................................... 33 附錄 B 牛頓拉夫遜法潮流計算程序源代碼 ......................................................................... 34 附錄 C 遺傳算法無功優(yōu)化 matlab 程序 ................................................................................ 40 基于遺傳算法的無功優(yōu)化與控制 第 1 頁， 共 47 頁 1 緒論 背景與意義 電能是現(xiàn)今社會最主要的能源，人們工作生活中都離不開電能。 關(guān)鍵詞 ：牛頓拉夫遜法，無功優(yōu)化，遺傳算法 基于遺傳算法的無功優(yōu)化與控制 REACTIVE POWER OPTIMIZATION BASED ON GENETIC ALGORITHM ABSTRACT Reactive power with reasonable optimization and control of Power system can not only improve the stability of power system, but also effectively reduce work losses and save energy. It ensures the safety and economic operation of power systems and improve the voltage quality. It is important for planning departments on grid reactive power scheduling. Reactive power optimization focuses on mathematical models and optimization algorithms. The mathematical model is selected depending on the focus of problemsolving. Optimization algorithm is concentrated in improving the calculation speed and improve the convergence performance. This paper selects the active power loss minimum objective function as a mathematical model, the constraints of mathematical model are each node of the injected active and reactive power equality constraint and the node voltage and reactive power of generator output, adjustable transformer ratio, parallel capacitance pensation, the generator terminal voltage within the respective upper and lower limits of the inequality constraints, optimization method using geic algorithms. Design Cartesian coordinate Newton Raphson power flow calculation method and geic algorithm matlab calculate the reactive power optimization procedures. Through a numerical example of the IEEE 14 node system, we can draw reactive power optimization based on geic algorithm can effectively reduce system loss and improve voltage level and verify the algorithm have unique advantages to solve multivariable, nonlinear, discontinuous, multiconstraint problem. Key words: Newton Raphson method。 設(shè)計和 編制了 牛頓拉夫遜直角坐標(biāo) matlab潮流計算程序以及遺傳算法無功優(yōu)化的 matlab潮流 計算程序。 無功優(yōu)化