柴油机电子调速器PID参数模糊自校正研究

提出了对柴油机数字式电子调速器PID参数按调速系统过渡过程进行模糊自校正的原理,并对此进行了仿真研究。结果表明,该方法对提高电子调速器的调速性能有明显效果,对电子调速器适应柴油机过程参数的变化也有一定的改善。     

低功耗电子调速器

本提出了一种新型低功耗电子调速器设计方案，实验结果表明：其调速性能与国外同类产品相当，而平均功耗约降低７０％～９０％左右。     

Co-Ordinated Governor/Exciter Stabilizer Design in Multi-Machine Power Systems

This paper describes the application of multi-variable control design methods to the problem of designing co-ordinated stabilizers in a multi-machine environment. Linear state space methods are used to design co-ordinating stabilizing inputs for the exciter and governor loops, based on a number of local outputs. The dynamics of the multi-machine power system are taken into account by determining a dynamic equivalent model of the power system as seen from the transformer bus of the design generator. This is accomplished using identification techniques as described in a previous paper[2]. The generator equations are linearized and combined with this dynamic equivalent of the remainder of the power system, resulting in a reduced order representation of the combined system. Linear optimal control methods are then used to determine the co-ordinated controller. The effects of nonlinearities are taken into account by experimenting with different cost function weightings. The method is demonstrated by applying it to a generating station in an example 63 bus power system with a total of 59 generators represented.     

Nonlinear Decentralized Disturbance Attenuation Excitation Control for Power Systems With Nonlinear Loads Based on the Hamiltonian Theory

A novel nonlinear control scheme for disturbance attenuation of structure preserving multimachine power systems based on Hamiltonian theory is proposed in this paper. The proposed control scheme includes two steps: first, the dissipative Hamiltonian realization of structure preserving power system is completed using the singular perturbation approach in which the algebraic equations are considered as a limit of fast dynamics; second, a nonlinear decentralized disturbance attenuation excitation controller is designed without linearization to improve transient stability of power system as well as the robustness with respect to unknown exogenous disturbance in the sense of L₂-gain. Simulation on a two-area system demonstrates that the proposed scheme can enhance transient stability of the system regardless of the exogenous disturbance.     

A Multi-Micro-Computer based Dual-Rate Self-Tuning Power System Stabilizer

A dual-rate self-tuning control technique, in which the system identification and control calculation are performed separately, is proposed in this paper. This greatly increases the control rate. A self-tuning power system stabilizer (DSPSS) making use of this technique is developed and implemented using multi-micro-computers. Simulation and experimental results with DSPSS show that the increase in the control rate can considerably improve the system performance.     

基于自适应反演算法的电力系统发电机励磁绕组协调控制研究

为解决电力系统发电机励磁绕组受突加负载与突卸负载影响而容易出现协调控制效果较差的问题,提出基于自适应反演算法的电力系统发电机励磁绕组协调控制研究。依据电力系统发电机励磁绕组结构,在系统空载状态下对励磁进行补偿控制。采用自适应反演算法,获取协调控制实际输入控制率,并设计电力系统控制原则。确定机组整体模型中相应参数,实现电力系统发电机励磁绕组协调控制。实验结果表明,该控制方法在突加负载和突卸负载影响下电压保持平稳,为电力系统稳定运行奠定了基础。     

广州蓄能水电厂自适应微机调速器控制算法研究

针对抽水蓄能机组调速器控制工况繁多、控制逻辑较常规水火电机组复杂的问题,以广州蓄能水电厂# 4蓄能机组调速器为倒,介绍了发电与抽水工况下蓄能机组调速器的控制逻辑、相关算法及监控系统与调速器配合完成机组的有功控制过程,可供其他抽水蓄能电厂控制调速器参考.     

A Multiagent-System-Based Intelligent Reference Governor for Multiobjective Optimal Power Plant Operation

A large-scale power plant requires optimal set points, namely references, in several control loops for multiobjective optimal operation. In a 600-MW oil-fired drum-type boiler power unit, the set points considered are for the main steam pressure and reheater/superheater steam temperatures. The set points should be mapped with the varying unit load demand and satisfy the conflicting requirements in power plant operation. In practice, the set points are obtained using fixed nonlinear functions in the unit master control in a plant, which are designed for the single objective of load tracking with heat balance. However, it does not allow for process optimization under the multitude of conflicting objectives, which may be newly introduced and different from the initial design objective. This paper presents a methodology, multiagent-system-based intelligent reference governor (MAS-IRG), to realize the optimal mapping by searching for the best solution to the multiobjective optimization problem that tackles conflicting requirements. In searching for the optimal set points, a heuristic optimization tool, particle swarm optimization, is utilized to solve the multiobjective optimization problem. The IRG is designed based on the proposed MAS to operate at a higher level of automation, to execute asynchronous computations, and to reduce the computational complexity. The approach provides the means to specify optimal set points for controllers under a diverse operating scenarios online.      

Design of Self-Tuning PID Power System Stabilizers for Synchronous Generators

A new technique for the excitation control of a synchronous generator is presented in this paper. The proposed technique employs a self-tuning proportional-integral-derivative (PID) power system stabilizer in order to improve the dynamic performance of a synchronous machine under a wide range of operating condition. Digital simulation of a synchronous machine subject to a major disturbance of a three phase fault under different operating conditions is performed to demonstrate the effectiveness of the proposed controller. It is found that the self-tuning PID stabilizer can enhance both the transient stability and the dynamic performance of the synchronous machine.     

燃料电池电站功率调节系统及其数字化控制技术

介绍了燃料电池电站核心技术之一的功率调节系统的组成、作用及其发展现状和趋向,分析了功率调节系统数字化控制的关键技术,并探讨了技术方案。     

Design of Decentralized Multivariable Excitation Controllers in Multimachine Power Systems by Projective Controls

A methodology for the design of decentralized multivariable excitation controllers in multimachine power systems is developed using projective controls. The existing methodology, is extended to permit the coordinated design of AVR and PSS controllers in power systems.     

Multivariable Self-Tuning Control of a Turbine Generator System

Results from a collaborative research and development program devoted to turbine generator (TG) control are described. Digital self-tuning excitation controllers were designed for a generator during the initial phase of the project, with the design subsequently extended to cover multivariable control of the TG, which is the topic of this paper. Simulations and tests on a laboratory-scale machine have been accomplished successfully and a prototype multivariable self-tuning controller has been built. A set of typical results is given, covering responses to fault conditions of the power system. The multivariable self-tuning controller is shown to have good potential for commercial use for the TG.      

励磁功率单元分布式物理图网建模及仿真研究

在对同步发电机自并励系统功率单元的物理结构、工作原理及动态特性进行分析的基础上,建立了励磁功率单元分布式物理图网模型,并在ＭＡＴＬＡＢ的Ｓｉｍｕｌｉｎｋ平台上对励磁功率单元正常和几种故障情况下的工作进行了仿真研究,并与实际工作情况进行了比较。     

Multiple Input Governor Control for a Diesel Generating Set

The paper presents a multiple-input single-output fuzzy logic governor algorithm that can be used to improve the transient response of a diesel generating set, when supplying an islanded load. The proposed governor uses the traditional speed input in addition to voltage and power factor to modify the fueling requirements during various load disturbances. The use of fuzzy logic control allows the use of proportional–integral–derivative (PID) type structures that can provide variable gain strategies to account for nonlinearities in the system. Fuzzy logic also provides a means of processing other input information by linguistic reasoning and a logical control output to aid the governor action during transient disturbance. The test results were obtained using a 50 kVA naturally aspirated diesel generator testing facility. Both real and reactive load tests were conducted. The complex load test results demonstrate that, by using additional inputs to the governor algorithm, enhanced generator transient speed recovery response can be obtained.      

交流励磁变速恒频风力发电系统并网控制技术研究

通过分析交流励磁变速恒频风力发电系统的运行原理,将定子磁链定向控制技术引入并网控制中来,提出了交流励磁发电机的双闭环并网控制策略。采用分开建模、分时仿真的思路,以Matlab／Simulink为工具,建立了完整系统的仿真模型,进行了发电机的并网调节、过渡过程和最大风能追踪控制的仿真研究。仿真结果验证了所提策略的正确性。     

薄弱电网中某特大型贯流式机组调速器控制策略探讨

针对西南某水电站首批机组投运期间遇到的水轮机调速系统的实际问题,结合电站在电网中的特殊地位,提出了电站处于薄弱电网中大机小网模式下系统频率稳定的控制策略及大网小网的判断方法,并提出新型调频公式解决了单机在空载开度附近带区域负荷问题。在不改变外界条件情况下,通过优化导叶最小开度限制,桨叶关闭速度及控制策略,极大降低了贯流式机组甩负荷导致低频灭磁的风险,满足了电站处于电网终端需不间断保障地方负荷及厂用电的需求,且通过现地试验验证了策略的有效性。     

考虑受端励磁系统的交直流稳定性分析

直流输电能否安全落地不仅与自身的控制方式与参数相关,还与受端系统紧密相联。在稳定分析时,受端系统戴维南等值模型固定,不能反映受端的调节能力,其支撑能力的强弱未能体现。考虑受端励磁系统的作用,详细分析了其对直流输电系统的影响,指出励磁达到极限时,受端系统负荷波动导致戴维南等值发生变化较大,随即影响直流输电系统的安全性。修改的IEEE39节点系统证明所提方法的有效性。     

气动位置伺服系统的线性二次高斯 LQG自校正控制的研究

为了克服气动伺服系统的时变,非线性等因素对控制系统线性的影响,采用在线辨识来获取时变参数,并利用卡尔曼滤波器估计系统的状态,为了减少干扰的影响,提高定位精度,设计带积分的LQG最优自校正控制器,仿真和实验表明,带积分的LQG自校正控制能有效的抑制干扰,改善气动位置伺服控制的动,静态性能。图4表1参5