电力系统稳定器论文基于粒子群算法的H_∞电力系统稳定

电力系统稳定器论文：基于粒子群算法的H_电力系统稳定器设计【中文摘要】随着社会的发展,电力系统的规模也在不断的扩大,重负荷远距离输电线路也在不断的增多,快速励磁系统以及快速励磁调节器得到普遍运用,这些都使得电力系统低频振荡问题日益突出,因此研究低频振荡问题对电力系统稳定产生的影响也日渐重要。发电机励磁控制向来是受人们关注的保障电力系统稳定运行的重要手段。在此背景下,人们采用了电力系统稳定器(Power System Stabilizers,即PSS)作为励磁系统的附加控制。由于传统电力系统稳定器大多是依据电力系统线性化后某一运行点进行设计的,在非线性的电力系统条件下,当运行点发生改变之后,原先设计的电力系统稳定器可能会出现作用减弱的情况。基于此,本文主要工作如下：(1)综合分析比较了鲁棒控制、自适应控制、神经网络控制、模糊控制等几种处理非线性情况的控制方法,基于电力系统稳定器设计的鲁棒性原则选取鲁棒控制中已有完整理论体系的H控制理论进行鲁棒电力系统稳定器设计。(2)选择基于Heffron-Philips发电机模型的小扰动分析模型作为H电力系统稳定器的设计模型。将系统所受干扰以及系统的不确定性同时纳入考虑范围,选择混合灵敏度问题作为H控制的设计目标。对于混合灵敏度问题的加权函数难以确定的问题,采用粒子群算法进行寻优求解。优化算法的目标函数是以综合考虑系统性能的ITAE准则为基础设计。优化得出的加权函数和小扰动分析模型一起构成混合灵敏度问题的广义被控对象,根据广义被控对象求解H电力系统稳定器。(3)建立基于MATLAB/Simulink的单机无穷大系统仿真模型,用于对权函数参数的优化,同时也用于检验H电力系统稳定器作用效果。本文对励磁电压参考端受到阶跃扰动、三相短路、三相断路、功率运行点改变等情况进行了仿真分析,仿真结果表明：设计的H电力系统稳定器能够使系统阻尼增加,有效地遏制低频振荡,并且在功率运行点发生改变时仍然保持良好的作用效果,有较好的鲁棒性。【英文摘要】With the development of the society, the size of power system is expanding. Heavy-load and long-distance transmission lines are increasing constantly, and the fast excitation system and AVR are widely used. All the development makes the problem of Power System Low Frequency Oscillation more and more significant. Therefore, it is important to study on how the low frequency oscillation influences the power system stability.Generator excitation control has always been paid close attention as the important method to maintain the system stable. Under this background, Power System Stabilizer (or PSS) is used as additional control of the excitation system. Most of the traditional power system stabilizers are designed according to a linearized power system operating point. While the operating point changes, the performance of the power system stabilizer which was designed by original operating point could be weakened.Based on this situation, this article focused on the research of following contents.(1) After the compare among several control methods which deal with nonlinear condition such as:robust control, adaptive, neural network and fuzzy control, the Hcontrol theory which has completed theory system in robust control theory was chosen as the theoretical basis to design power system stabilizer.(2) The small disturbance analysis model which is based on Heffron-Philips generator model was chosen as the designing model. Considering the system interference and the nondeterminacy of system, the mixed sensitivity problem was chosen as the designing objective of Hcontrol. The problem of the weighting function was solved through PSO optimization algorithm. The objective function of PSO optimization algorithm is based on the ITAE criterion which considered the system performance. The weighting function which was obtained by optimization and the small disturbance analysis model constituted the generalized controlled object of mixed sensitivity problem. Hpower system stabilizer was solved according to the generalized controlled object.(3) Established single machine infinite bus system simulation model based on MATLAB/Simulink to optimize the weight function parameters and test the performance of completed Hcontroller through the model. This article simulated the situation such as:step disturbance on excitation voltage reference terminal, three-phase short circuit, three-phase broken circuit, power operation point changed. The simulation results indicated that power system stabilizer which was design through Htheory can effectively increase damping to weaken low frequency oscillations in the simulation experiments and achieved good results with excellent robustness.【关键词】电力系统稳定器 低频振荡 粒子群优化算法 H_控制 权函数 ITAE准则【英文关键词】Power system stabilizer low frequency oscillations PSO optimization algorithm H_control weight function ITAE criterion【目录】基于粒子群算法的H_电力系统稳定器设计摘要6-7Abstract7-8第1章 绪论11-181.1 课题的研究意义11-141.2 H_电力系统稳定器国内外研究现状14-161.3 本论文的主要工作16-18第2章 电力系统稳定器工作原理18-252.1 低频振荡产生机理18-202.2 电力系统稳定器抑制低频振荡的原理20-242.2.1 基于Heffron-Philips模型的低频振荡分析20-232.2.2 电力系统稳定器抑制低频振荡的原理简析23-242.3 本章小结24-25第3章 H_控制及H_电力系统稳定器设计25-413.1 H_控制25-323.1.1 H_标准控制问题26-283.1.2 混合灵敏度问题28-303.1.3 H_电力系统稳定器设计的加权函数选择30-313.1.4 极点配置问题31-323.2 H_控制问题求解32-353.2.1 H_控制系统稳定性32-333.2.2 基于2-Riccati方程的H_标准控制问题求解33-353.3 H_电力系统稳定器的设计步骤35-403.3.1 H_控制器设计步骤35-383.3.2 H_电力系统稳定器降阶38-403.4 本章小结40-41第4章 粒子群优化算法及权函数优化41-484.1 粒子群算法41-444.1.1 粒子群算法41-424.1.2 粒子群算法的参数选择42-444.2 粒子群算法对权函数优化流程44-464.3 本章小结46-48第5章 基于粒子群算法的H_电力系统稳定器设计48-605.1 单机无穷大系统优化仿真模型的建立48-495.2 算例及仿真结果分析49-595.2.1 设计得出的H_电力系统稳定器49-505.2.2 仿真结果分析50-595.3 本章小结59-60结论与展望60-62致谢62-63参考文献63-67攻读硕士学位期间发表的论文67