constraints is tough ⇒ . . . usually handled with suboptimal heuristics in MIMO case IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 19, NO. 4, NOVEMBER 2004 1951 Decentralized Power System Stabilizer Design Using Linear Parameter Varying Approach Wenzheng Qiu, Student Member, IEEE, Vijay Vittal, Fellow, IEEE, and Mustafa Khammash, Senior Member, IEEE Abstract—In this paper, the power system model is formulated as a finite dimensional linear system whose state-space entries depend continuously on a time varying parameter vector called the scheduling variables. This system is referred to as the linear parameter varying (LPV) system. Although the trajectory of the changing parameters such as load levels and tie line flows is not known in advance, in most situations, they can be measured in real time. The LPV technique is applied to the decentralized design of power system stabilizers (PSS) for large systems. In the approach developed, instead of considering the complete system model with all the interconnections, we develop a decentralized approach where each individual machine is considered separately with arbitrarily changing real and reactive power output in a defined range. These variables are chosen as the scheduling variables. The designed controller automatically adjusts its parameters depending on the scheduling variables to coordinate with change of operating conditions and the dynamics of the rest of the system. The resulting decentralized PSSs give good performance in a large operating range. Design procedures are presented and comparisons are made between the LPV decentralized PSSs and conventionally designed PSSs on the 50-generator IEEE test system. Index Terms—Decentralized control, gain scheduling, LPV, os- cillation damping, power system stabilizer. I. INTRODUCTION POWER system operating conditions vary with system con- figuration and load level in a complex manner. The system typically operates over a wide range of conditions. A variety of controllers are employed to ensure that the system operates in a stable manner within its operating range. In the past, many efforts have dealt with the application of robust control tech- niques to power systems, such as Kharitonov’s theorem [1], [2]–[6], [7], [8], and Structured Singular Value (SSV or ) techniques [9], [10]. These methods mainly use one Linear Time Invariant (LTI) controller to guarantee the robust stability and robust performance after describing the changes of oper- ating condition as uncertainties. With the advent of competi- tion and deregulation, systems are being operated closer than ever to their limits, which makes it hard to design a LTI con- troller that performs well at all operating conditions because Manuscript received December 15, 2003. This work was supported by the National Science Foundation under Grants ECS-0338624 and EEC-9908690 and by the Power System Engineering Research Center. Paper no. TPWRS- 00578-2003. W. Qiu and V. Vittal are with the Department of Electrical and Computer Engineering, Iowa State University, Ames, IA 50010 USA. M. Khammash is with the Department of Mechanical Engineering, University of California, Santa Barbara, CA 93106-5070 USA. Digital Object Identifier 10.1109/TPWRS.2004.836269 of the inherent system nonlinearity. Gain scheduling is a de- sign technique that has been successfully applied in many en- gineering applications including power systems [11]–[15]. In these attempts, a typical procedure for classical gain scheduling design was followed. This procedure consists of the following steps. Select several operating points which cover the range of the plant’s dynamics and obtain a LTI approximation to the plant at each operating point. For each linearized plant, design a LTI controller to meet the performance requirements; then, using some scheduling scheme, interpolate or schedule the local linear designs to yield an overall nonlinear controller that covers the entire operating range. Although these controllers work well in practice, stability and performance guarantees can not be pro- vided except for slow varying parameters [16], [17]. Further more, since these operating points are usually indexed by some combination of state or reference state trajectories, complex pa- rameter identification blocks are needed to perform scheduling and to deal with delicate stability questions in the switching zone. LPV theory [19], [20] has been developed in the past ten years. It is a natural extension of the conventional gain sched- uling approach. With real measurable scheduling variable(s), it can achieve larger system operating range while guaranteeing the stability and performance not only for slowly changing parameters but also for arbitrarily fast changing parameters. Compared with classical gain scheduling design, not only does it get rid of the strict limitations on the changing rates of scheduling variables, but also it has theoretical guarantees for stability and performance instead of the rule of thumb. LPV gain scheduling technique has been successfully applied in many engineering applications such as flight and process con- trol [21]–[24]. In the flight control problem, the LPV approach based on a single quadratic Lyapunov function is generally applied. Different variables such as altitude, attack angle, and Mach number, are taken as scheduling variables in different cases. The approach in [20] is employed in [24] to achieve improvement by introducing the variation rate bound of the scheduling variable and designing multiple LPV controllers over different operating ranges. These applications demonstrate the usefulness of LPV theory for real engineering problems. The promising results obtained and the actual implementation of this approach in safety critical systems like aircrafts and process control highlight the potential of this technique when applied to large power systems. We focus on PSS design in this paper. The PSS is often used to provide positive damping for power system oscillations. They are mostly single-loop local controllers, which use speed, power input signal, or frequency and synthesize a control signal based 0885-8950/04$20.00 © 2004 IEEE Published in IET Generation, Transmission & Distribution Received on 25th November 2009 Revised on 17th March 2010 doi:10.1049/iet-gtd.2009.0669 ISSN 1751-8687 Robust and coordinated tuning of power system stabiliser gains using sequential linear programming R.A. Jabr1 B.C. Pal2 N. Martins3 J.C.R. Ferraz4 1Department of Electrical & Computer Engineering, American University of Beirut, P.O. Box 11-0236, Riad El-Solh, Beirut 1107 2020, Lebanon 2Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2BT, UK 3CEPEL, Rio de Janeiro, RJ 21941-911, Brazil 4ANEEL, SGAN 603, Brasilia, DF 70830-030, Brazil E-mail:
[email protected] Abstract: This study presents a linear programming (LP)-based multivariable root locus following technique for coordinating the gain settings of power system stabilisers (PSSs). The stabiliser robustness is accounted for in the design problem by simultaneously considering the state-space representations and multivariable root loci corresponding to different operating scenarios. The proposed technique computes a curve in the PSS gain parameter space such that when the PSS gains move along this curve to their optimal values, the branches of the corresponding multivariable root loci terminate at satisfactory points in the complex plane. The curve in the gain parameter space is computed via a linear program that successively minimises the Euclidean distance between the unsatisfactory and satisfactory eigenvalue locations. The design method is demonstrated on a 39-bus test system with 14 operating scenarios. A comparison is carried out between the coordination results of two PSS structures, one involving two phase-lead blocks and the other comprised of two phase-lead blocks and a phase-lag block. 1 Introduction The power system stabiliser (PSS) is designed to add damping to the generator rotor oscillations by proper modulation of its excitation voltage [1]. The PSS provides oscillation damping by producing an electrical torque component in phase with the rotor speed deviations. The basic structure of the PSS comprises a gain, phase compensation blocks, a washout filter and output limiters. With rotor speed employed as the PSS input signal, a torsional filter is also commonly used. The phase compensation blocks are used to provide a phase lead that compensates for the phase lag between the exciter input and the generator electrical torque. In practice, the phase-lead network should provide compensation over the entire frequency range of interest (0.1–2 Hz) and under different operating scenarios. It is generally desirable to have some under-compensation so that in addition to significantly increasing the damping torque, the PSS would promote a slight increase in the synchronising torque [1]. A PSS having two phase-lead blocks and a phase-lag block has been proposed as an alternative design to damp inter-area modes without compromising the effect of synchronising torques in the low-frequency spectrum [2]. PSSs of this type were manufactured and have been in continuous operation, for a decade, in three major hydro power stations of Northeastern Brazil. In related research, Kamwa et al. [3] presented a comparison between the main differences in behaviour of two modern digital-based PSSs: the PSS2B and the PSS4B. The modern PSS2B can be easily tuned as a speed-based PSS and has gained widespread use; the multi-channel PSS4B has also been used to achieve higher damping levels for ultra-low-frequency modes, but may require more elaborate tuning. The gain and phase compensation approach [4] has been the most effective and widely used method for designing IET Gener. Transm. Distrib., 2010, Vol. 4, Iss. 8, pp. 893–904 893 doi: 10.1049/iet-gtd.2009.0669 & The Institution of Engineering and Technology 2010 www.ietdl.org IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 28, NO. 2, MAY 2013 1599 Robust and Low Order Power Oscillation Damper Design Through Polynomial Control Dumisani D. Simfukwe, Student Member, IEEE, and Bikash C. Pal, Senior Member, IEEE Abstract—The paper presents a method for designing low order robust controllers for stabilizing power system oscil- lations. The method uses polynomial control techniques. For single-input/single-output systems (SISO), the variability in operating conditions is captured using an interval polynomial. Kharitonov’s theorem is then used to characterize a fixed order robust controller guaranteeing specified damping. This gives bi-linear matrix inequality (BMI) stability conditions which are solved using the BMI solver PENBMI. The effectiveness of the method is demonstrated by designing power oscillation damping (POD) controllers for single-, four-, and 16-machine power system models. Index Terms—Bi-linear matrix inequality (BMI), controller de- sign, Kharitonov theorem, polynomial methods, power oscillation damping, power system stability. NOMENCLATURE Interval polynomials. Coefficient of polynomial for the term. Maximum and minimum limits on polynomial coefficient . th Kharitonov polynomial. Real and imaginary parts of coefficients of a th controller parameter. Even and odd parts of the polynomial . Hermite-Fujiwara matrix. th complex Kharitonov polynomial of the th polynomial. I. INTRODUCTION THE interconnected power systems inherently exhibit electromechanical oscillations when subjected to dis- turbance. The time scale of such oscillations ranges from tens of milliseconds to several minutes. One of the important oscillations in the range of seconds (0.2 to 1.0 Hz) involves many generators in the interconnected system—commonly known as inter-area oscillations [1]. Often the damping asso- ciated with these oscillations is poor and is dependent on the operating conditions: e.g., level of generation, demand, power flow through the interconnections and network topology and strength. Such variability in the system operation has motivated many researchers over the years to look for a robust oscillation damping strategies [1], [2]. Power system stabilizers (PSSs) as damping aid through generator excitation control and power oscillation dampers (PODs) through various types of flexible IEEE TUANSACTIOSS os POWER SYSTBMS, VOL. IS, so. I, FEBRUARY 2000 313 Robust Pole Placement Stabilizer Design Using Linear Matrix Inequalities P. Shrikant Rao and I. Sen Abstract-This paper presents the design of robust power system stabilizers which place the system poles in an acceptable region in the complex plane for a given set of operating and system conditions. It therefore, guarantees a well damped system response over the entire set of operating conditions. The proposed controller uses full state feedback. The feedback gain matrix is ohtained as the solution of a linear matrix inequality expressing the pole region constraints for polytopic plants. The techniqne is illustrated with applications to the design of stabilizers for a single machine and a 9 bus, 3 machine power system. Index Terms-Linear matrix inequalities, power system dy- namic stahility, robustness. Fig. I. 'The V cotmur, 1. INTRODUCTION system is modeled in terms of the hounds on the frequency response. A H , optimal controller is then synthesized which guarantees robust stability of the closed loop, Other perfor. P O W E R system stabilizers ( " ' ) are now commonly PSS [l] is quite popular with the industry due to its simplicity. However, the performance of these stabilizers can be consid- erably degraded With the changes in the Operatin& "Iition during normal operation. condition due to changes in the loads, generation and the transmission network resulting in accompanying changes in the system dynamics. A well designed stabilizer has to perform satisfactorily in the presence of such variations in the system. In other words, the stabilizer should be robust to changes in the system over its entire operating range. The nonlinear differential equations governing the behavior by utlhtles for dampin& the low frequency oscillations in power systems. The conventional lead com~ens:dion type of specifications such as disturbance attenuation criteria are also imposed on the system. However, it should he noted that the main objective of using a PSS is to provide a good transient behavior, Guaranteed robust stability of the closed loop, though necessary, is not adequate as a specification in pole-zero cancellations and choice of functions used in the design limit the of this techniqLle for pss design, H , design, being essentially a frequency domain approach, does not provide much control over thc transient behavior and closed loop pole location, It would be more desir. able to have a robust stabilizer which, in addition, guarantees an level of small signal transient performance, This can Power systems continually undergo changes in the operating this application, In addition, the problems of poorly damped of a power systeln can be linearized &out a particular operating be achieved by proper placelnellt of the closed loop poles ofthe 810 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 18, NO. 2, MAY 2003 Robust Power System Stabilizer Design Using Loop Shaping Approach Chuanjiang Zhu, Member, IEEE, Mustafa Khammash, Senior Member, IEEE, Vijay Vittal, Fellow, IEEE, and Wenzheng Qiu, Student Member, IEEE Abstract—A robust power system stabilizer (PSS) is designed using Glover-McFarlane’s loop shaping design procedure. Guidance for setting the feedback configuration for loop shaping and synthesis are presented. The resulting PSS ensures the stability of a set of perturbed plants with respect to the nominal system and has good oscillation damping ability. Comparisons are made between the resulting PSS, a conventionally designed PSS, and a controller designed based on the structured singular value theory. Index Terms—Gap metric, loop shaping, oscillation damping, power system stabilizer, structured singular value. I. INTRODUCTION POWER system stabilizers (PSS) have been used for many years to add damping to electromechanical oscillations. They were developed to extend stability limits by modulating the generator excitation to provide additional damping to the oscillations of synchronous machine rotors [1]. Many methods have been used in the design of PSS, such as root locus and sen- sitivity analysis [1], [2], pole placement [3], adaptive control [4], etc. Conventional design tunes the gain and time constants of the PSS, which are mostly lead-lag compensators, using modal frequency techniques. Such designs are specific for a given op- erating point; they do not guarantee robustness for a wide range of operating conditions. To include the model uncertainties at the controller design stage, modern robust control methodologies have been used in recent years to design PSS. The resulting PSS has the ability to controller design is relatively simpler than the synthesis in terms of the computational burden. This paper uses the Glover- McFarlane loop shaping design procedure to design the PSS. It combines the robust stabilization with the classical loop shaping technique. In contrast to the classical loop shaping approach, the loop shaping is done without explicit regard to the nominal plant phase information. The design is both simple and systematic. It does not require an iterative procedure for its solution. The design procedure guarantees the stabilization of a plant set within a ball of certain radius in terms of the gap metric. It is naturally tied to the concept of gap metric and is an elegant approach to synthesize controllers. For power system applications, the Glover-McFarlane loop shaping design has been used by Ambos [12], Pannett [13] et al. to design a controller for generator control. Graham [14] has designed robust controllers for FACTS devices to damp low fre- quency oscillations. In this work, we introduce this design procedure to PSS de- sign both on a four machine system and a 50-machine mod- erate sized system, and provide some basic guidelines for loop shaping weighting selection and controller design paradigm for- mulation. After obtaining the controller, nonlinear simulations are performed and comparisons of the performances are made with the conventional PSS and the controller. Finally, the structured singular value based analysis is performed to eval- uate the robustness of the controller. The rest of the paper is organized as follows: Section II briefly 294 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 20, NO. 1, FEBRUARY 2005 Simultaneous Coordinated Tuning of PSS and FACTS Damping Controllers in Large Power Systems Li-Jun Cai and István Erlich, Member IEEE Abstract—This paper deals with the simultaneous coordinated tuning of the flexible ac transmission systems (FACTS) power oscillation damping controller and the conventional power system stabilizer (PSS) controllers in multi-machine power systems. Using the linearized system model and the parameter-constrained nonlinear optimization algorithm, interactions among FACTS controller and PSS controllers are considered. Furthermore, the parameters of the damping controllers are optimized simultane- ously. Simulation results of multi-machine power system validate the efficiency of this approach. The proposed method is effective for the tuning of multi-controllers in large power systems. Index Terms—Comprehensive damping index, coordination, damping control, FACTS, interaction, nonlinear optimization, power oscillation damping (POD), power system stabilizer (PSS), tuning. I. INTRODUCTION DAMPING of power system oscillations between inter- connected areas is very important for the system secure operation. Besides power system stabilizers (PSSs), flexible ac transmission systems (FACTS) devices are also applied to enhance system stability [1], [3], [8], [13], [18], [21]. Particu- larly, in multi-machine systems, using only conventional PSS may not provide sufficient damping for inter-area oscillations. In these cases, FACTS power oscillation damping (POD) con- trollers are effective solutions. Furthermore, in recent years, with the deregulation of the electricity market, the traditional concepts and practices of power systems have changed. Better utilization of the existing power system to increase capaci- ties by installing FACTS devices becomes imperative [25]. FACTS devices are playing an increasing and major role in the operation and control of competitive power systems. However, uncoordinated local control of FACTS devices and PSSs may cause destabilizing interactions. To improve overall system performance, many researches were made on the coor- dination between PSSs and FACTS POD controllers [12]–[16], [27]. Some of these methods are based on the complex non- linear simulation [12], [13], while the others are based on the linearized power system model. In this paper, an optimization-based tuning algorithm is pro- posed to coordinate among multiple controllers simultaneously. This algorithm optimizes the total system performance by means of sequential quadratic programming method. By min- imizing the objective function in which the influences of both Manuscript received March 3, 2004. Paper no. TPWRS-00016-2004. The authors are with the Department of Electrical Power Systems, Univer- sity of Duisburg-Essen, 47057, Germany (e-mail:
[email protected]; er-
[email protected]). Digital Object Identifier 10.1109/TPWRS.2004.841177 PSSs and FACTS POD controllers are considered, interactions among these controllers are improved. Therefore, the overall system performance is optimized. This paper is organized as follows. Following the introduc- tion, the test system comprising a series FACTS device and 16 generators is described. In Section III, the PSSs and FACTS POD controllers are introduced. In Section IV, simultaneous tuning method is discussed in detail. The simulation results are given in Section V. Finally, brief conclusions are deduced. II. MULTIMACHINE TEST SYSTEM The 16-machine 68-bus simplified New-England power system [6] modified with a series FACTS device, as shown in Fig. 1, is simulated in this study. Each generator is described by a sixth-order model and the series FACTS device is simulated using a power-injection model [4], [10], [12]. By means of the modal analysis, the test system can be di- vided into five areas [6]. The main inter-area oscillations are between area 1, 2, 3 and area 4 because of the relative weak in- terconnections between them. Series FACTS devices are the key devices of the FACTS family and they are recognized as effective and economical means to damp power system oscillation. Therefore, in this research, a series FACTS device, the thyristor-controlled series capacitor (TCSC) is employed for damping of the inter-area oscillations. The TCSC is located between bus A and bus A0 (on the tie line between areas 3 and 4). Its location is determined using the residue method for damping of inter-area oscillations [9], [21], [22]. This paper considers only the dynamic damping control of the FACTS devices. In practice, the placement of the FACTS devices will be based on their cost functions [26]. III. PSS AND FACTS POD CONTROLLER A. PSS PSS acts through the excitation system to introduce a compo- nent of additional damping torque proportional to speed change. It involves a transfer function consisting of an amplification block, a wash out block and two lead-lag blocks [6], [24], [27]. The lead-lag blocks provide the appropriate phase-lead charac- teristic to compensate the phase lag between the exciter input and the generator electrical torque. The lead-lag time constants are determined using the method given in [6], [24], [27]. The structure of the PSS controller is illustrated in Fig. 2. B. FACTS POD Controller In general, the structure of series FACTS POD controller, as shown in Fig. 3, is similar to the PSS controllers [8], [19], [27]. 0885-8950/$20.00 © 2005 IEEE 21 / 50
floriandoerfler
jponch
chriscoyier
holman
ufuk
paigeccino
ammeep
mraible
rmw
lara
jeffersonlam
geoffreycrofte
caitiem20
![Sparsity-promoting optimal LQR [Lin, Fardad, & Jovanovi´ c ’13] simultaneously](https://files.speakerdeck.com/presentations/26bc2c816c2742a6bdead42cd3a8eefc/slide_34.jpg){kind=link}
