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基于SSA和GATS算法的阻尼控制器协调设计研究
Study on Coordination Design of Damping Controllers Using SSA and GATS Algorithms
【作者】 牛伟;
【导师】 房大中;
【作者基本信息】 天津大学 , 电力系统及其自动化, 2005, 硕士
【摘要】 随着我国大区电网互联和电力市场机制在电力工业中的逐步实施,低频振荡成为我国电力系统面临的突出问题之一。FACTS装置的广泛应用为抑制低频振荡提供了新的控制手段,也对系统小信号稳定性研究提出了新的问题和挑战。本文对电力系统稳定器和FACTS附加阻尼控制器的参数协调设计方法进行了一些初步的研究,主要内容包括:采用同时考虑系统机电模式特征值的实部和特征值阻尼比的目标函数优化设计阻尼控制器,可将多种不同运行方式下系统的特征根移到复平面目标函数限定的区域内。目标函数考虑了系统多种典型运行方式下的机电振荡模态性能,因而设计出的阻尼控制器具有较强的鲁棒性。结合电力系统稳定器(PSS)和可控串联补偿器(TCSC)附加阻尼控制器能分别有效阻尼机间振荡和区域振荡的特点,提出一种采用单纯形—模拟退火法(SSA)对PSS和TCSC阻尼控制器进行协调优化的设计方法。在4机11节点电力系统上对该优化方法进行了验证。特征值分析和非线性时域仿真结果显示,使用该方法设计的PSS和TCSC阻尼控制器对不同的运行方式都能有效抑制系统低频振荡。提出了一种采用遗传禁忌混合优化策略(GATS)对电力系统稳定器和静止无功补偿器附加线性稳定控制器进行参数协调优化的设计方法。该方法结合遗传算法和禁忌搜索算法各自的优点,将禁忌搜索引入遗传算法的变异操作,改进了遗传算法的变异算子,具有比常规遗传算法更强的局部搜索能力。在10机新英格兰典型电力系统上对该优化方法进行了测试。特征值分析表明,该设计方法能有效地将多种不同运行方式下系统的特征根移到复平面目标函数限定的区域内,保证了小扰动稳定性控制的鲁棒。同时还对不同优化方法的收敛性及计算时间进行了比对,结果表明遗传禁忌混合策略的性能优于常规遗传算法以及遗传模拟退火混合优化策略。
【Abstract】 Along with the interconnection of large area power grid and the gradual implementation of electric power market in China, low frequency oscillation has become a prominent problem of system operations. The flexible AC transmission system (FACTS) equipment provides a new control method for suppressing low frequency oscillations, but it also induces an extra problem or challenge to the investigation of the system small-signal stability. This paper studied new methods in the parameter coordination design of PSS and FACTS damping controllers for improving small signal stability of systems.An objective function constructed with the concept of eignvalues and damping ratios of multiple operating conditions of systems is presented. Robustness of the damping controllers is ensured because multiple operating conditions are considered in the damping controller design.Based on a Simplex-Simulated Annealing (SSA) algorithm, this paper presents an approach for optimal coordination design of parameters of both PSS and Thyristor Controlled Series Compensator (TCSC) damping controller. A valid example is demonstrated on the 4-generator 11-bus test system. Eigenvalue analysis and nonlinear simulation results verify that the proposed PSS and TCSC damping controller can provide sufficient damping to low frequency oscillations in different operation modes.A hybrid optimization approach based on Genetic Algorithm (GA) and Tabu Search (TS) for coordination designing the parameters of both Power System Stabilizer (PSS) and Static Var Compensator (SVC) damping controller is also presented. This approach adopts Tabu Search as GA mutation operator and possesses advantages of both GA and TS, and has stronger ability of local search than common Genetic Algorithm. Simulation test is made on the 10-machine New England test power system. Result of eigenvalue analysis verifies that the design method can shift eigenvalues into the specified area on the complex plane, and that the PSS and SVC damping controllers can provide sufficient damping for low frequency oscillations occurred in different operating conditions. The convergence and time cost of the three algorithms are compared, and the result shows GATS hybrid algorithm provides better
- 【网络出版投稿人】 天津大学 【网络出版年期】2007年 05期
- 【分类号】TM571
- 【下载频次】144