发电机和静止无功补偿器鲁棒非线性协调控制

采用Hamilton函数方法研究发电机励磁和静止无功补偿器(SVC)的鲁棒协调控制问题。首先建立系统的不确定非线性微分代数系统控制数学模型;然后通过预置状态反馈完成系统的耗散Hamilton实现,并基于耗散实现设计鲁棒非线性协调控制器。仿真结果表明,该控制器能有效提高电力系统的暂态稳定性。     

基于Hamilton函数方法的多机多负荷电力系统分散励磁控制

采用Hamilton函数方法研究了多机多负荷电力系统的励磁控制问题. 首先, 通过预置状态反馈完成了系统的耗散Hamilton实现. 然后, 基于该耗散实现形式设计了非线性分散励磁控制器, 分析了闭环系统的稳定性. 该控制器能充分利用系统内在的功率平衡特性. 仿真结果验证了控制策略的有效性.     

带有SMES和电力推进负载的舰船电力系统鲁棒协调控制

基于Hamilton函数方法,研究具有超导储能装置SMES的舰船电网中的协调控制问题．在充分分析了柴油机组的非线性数学模型、SMES及其推进电机负载相互耦合的非线性动态结构特性的基础上,通过预置状态反馈完成了耗散Hamilton实现,并基于耗散实现设计了SMES和调速与励磁协调控制器．该控制器结构简单,物理意义明确．仿真结果表明,所设计的控制器能有效提高系统的暂态稳定性．     

电力系统微分代数模型耗散Hamilton实现

对非线性微分代数模型电力系统的耗散Hamilton实现问题进行了研究．首先提出了非线性微分代数系统的耗散Hamilton实现结构，给出了完成常值耗散Hamilton实现的充分条件；然后证明单机单负荷电力系统必然存在耗散Hamilton实现，并构造出系统的一个耗散Hamilton实现．     

汽车转向/防抱死制动系统的非线性鲁棒协调控制

针对汽车转向系统和防抱死制动系统的协调控制问题,提出一种新的非线性鲁棒协调控制系统.该控制结构由转向控制器和制动控制器组成.为了改善整个系统的鲁棒性和协调性,根据汽车转向和制动非线性综合模型,基于Hamilton函数方法设计了汽车非线性鲁棒协调控制器.该控制器通过预置状态反馈完成系统的耗散Hamilton函数实现.设计了适用于复杂工况的制动力分配策略.仿真结果验证了所设计控制算法的稳定性和有效性.     

可逆冷带轧机速度张力系统的耗散Hamilton 控制

研究基于侵入与不变流形(I&I)自适应方法和非线性干扰观测器(NDO)的可逆冷带轧机速度张力系统耗散Hamilton控制问题。首先采用I&I自适应方法估计系统的摄动参数;其次,通过预反馈建立系统速度张力外环的耗散Hamilton模型,并利用互联和阻尼配置以及能量整形方法设计耗散Hamilton控制器;再次,选用NDO对系统电流内环的外扰进行观测,并引入设计的积分滑模控制器中进行补偿;最后将该方法应用于某1422 mm可逆冷带轧机速度张力系统中进行仿真,结果验证了所提出方法的有效性。     

基于Hamilton函数方法的船舶发电机组综合协调控制

推进负载对船舶电网的暂态稳定性影响是船电系统的主要特征之一,船舶电力系统的稳定性研究也因此比陆上电力系统更具有挑战性.本文基于Hamilton能量理论控制方法,研究了具有螺旋桨推进负载的船舶电力系统的励磁与调速的综合协调控制问题.在充分分析了柴油发电机组及其螺旋桨负载的非线性耦合模型的结构基础上,通过构造Hamilton能量函数,给出保持系统稳定的综合协调控制律.特别地,不同于已有的结果,该控制律清晰地给出了螺旋桨转速对控制器性能影响的函数关系.仿真表明,在分别给系统突加螺旋桨负载的情况下,该控制器能有效地抑制负载对系统性能的影响,验证了控制器的鲁棒性.     

SVC对电力系统稳定性的模糊控制

利用模糊逻辑系统,设计了用于控制电力系统暂态稳定性的静止无功补偿器（SVC）模糊自适应控制器。该控制器采用反向传播学习算法自动调节控制规则,并通过辨识器部分获取数据修改控制器参数。通过一个两机系统的计算机仿真,证明该SVC模糊控制器能有效地控制系统的暂态稳定性。     

互联非线性系统反馈主导控制设计方法及汽门开度控制应用

分析了电力系统非线性的数学性质,指出电力系统非线性是一种有界非线性.在此基础上,将反馈主导方法(feedback domination method,FDM)引入多机电力系统非线性控制.该方法与反馈线性化方法不同;反馈线性化方法是通过反馈将原非线性系统转化为线性系统,反馈主导方法则是通过反馈将原非线性系统转换为特定形式的非线性系统,该特定形式的非线性系统的动态由反馈引入的非线性部分主导.以多机系统非线性汽门控制问题为例,设计了反馈主导非线性汽门控制器,该控制器仅包含本地量测量,易于实现.数值仿真表明,多机系统反馈主导非线性汽门控制器可显著提高电力系统暂态稳定性.     

基于模糊-PI控制的SVC电压控制器的设计与实现

为提高电力系统电压稳定性,综合了模糊控制和PID控制的优点,提出一种基于模糊-PI控制的SVC的电压控制器设计方法.分析了SVC电压控制器的基本原理和组成,详细介绍了模糊-PI控制的设计实现过程.用DSP作为主控芯片开发出了控制器,给出了软硬件设计思想.对SVC进行了仿真验证,仿真结果表明模糊-PI控制比传统PI控制具有更好的动态性能,较小的超调量和较短的调节时间.     

Decentralized robust control of multiple static var compensators via Hamiltonian function method

Using the energy-based Hamiltonian function method, this paper investigates the decentralized robust nonlinear control of multiple static var compensators (SVCs) in multimachine multiload power systems. First, the uncertain nonlinear differential algebraic equation model is constructed for the power system. Then, the dissipative Hamiltonian realization of the system is completed by means of variable transformation and prefeedback control. Finally, based on the obtained dissipative Hamiltonian realization, a decentralized robust nonlinear controller is put forward. The proposed controller can effectively utilize the internal structure and the energy balance property of the power system. Simulation results verify the effectiveness of the control scheme.     

A brand new nonlinear robust control design of SSSC for transient stability and damping improvement of multi-machine power systems via pseudo-generalized Hamiltonian theory

Nonlinear robust control of static synchronous series compensator (SSSC) is investigated in multi-machine multi-load power systems by using the pseudo-generalized Hamiltonian method. First, the uncertain nonlinear differential algebraic equation model is constructed for the power system. Then, the dissipative pseudo-generalized Hamiltonian realization of the system is established by means of variable transformation and prefeedback control. Finally, based on the obtained dissipative pseudo-generalized Hamiltonian realization, a brand new nonlinear robust controller is put forward. The proposed controller can effectively use the internal structure and the energy balance property of the power system. Simulation results demonstrate the effectiveness and robustness of the control scheme.     

Voltage control for static var compensator using novel optimal nonlinear PI

Static var compensators (SVCs) are used for voltage and reactive power control in power systems. In this paper, we will consider the structure of SVCs that mainly consists of Y -connection of mechanically-switched capacitor (MSC) and delta connection of thyrister-controlled reactor (TCR). First, the control model of SVC was established in this paper. Then, a novel optimal nonlinear voltage controller for SVCs is proposed. The proposed SVC voltage controller consists of a nonlinear function and a conventional PI controller. The improved simplex method (SPX) is presented to adjust and optimize the parameters of the nonlinear PI controller in real-time, and to make transient state response procedure of SVC optimum. The integration of time multiplied absolute error (ITAE) is adopted as the optimized objective function of SPX. Simulation and engineering application results show that the proposed voltage control method is able to track reference voltage value of SVC immediately. It also demonstrates that the whole SVC control system can synthetically compensate reactive power.     

Decentralized Nonlinear Robust Coordinated Control of UPFC and Generators in Multi‐ Machine Power System Via Pseudo‐Generalized Hamiltonian Theory

In this paper, based on a structure preserving power system with a unified power flow controller (UPFC), using pseudo‐generalized Hamiltonian function method and boundary‐function method, a nonlinear robust coordinated control law is constructed for multi‐machine power system oscillation damping. The 4‐machine 2‐area power system is used to demonstrate the performance of the proposed controller. Simulation results indicate that the proposed coordinated control scheme can effectively improve both transient stability and voltage regulation performance of the power system. ©2014 Chinese Automatic Control Society and Wiley Publishing Asia Pty Ltd     

Feedback control of nonlinear differential algebraic systems using Hamiltonian function method

Many complex dynamic systems, such as power systems, robotic systems, etc. can be modeled as the following nonlinear differential algebraic systems (NDAS) [1-4](1) where the vector 1 x1 ∈ X 1 ? Rn represents the state variable, and x2 ∈X2? Rn2 is the al…     

Problems on time-varying port-controlled Hamiltonian systems: geometric structure and dissipative realization

To apply time-varying port-controlled Hamiltonian (PCH) systems to practical control designs, two basic problems should be dealt with: one is how to provide such time-varying systems a geometric structure to guarantee the completeness of representations in mathematics; and the other is how to express the practical system under consideration as a time-varying PCH system, which is called the dissipative Hamiltonian realization problem. The paper investigates the two basic problems. A suitable geometric structure for time-varying PCH systems is proposed first. Then the dissipative realization problem of time-varying nonlinear systems is investigated, and serval new methods and sufficient conditions are presented for the realization.