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IEEE PSS2B versus PSS4B: The limits of performance of modern power system stabilizers

Hydro-Quebec, Varennes, Que., Canada
IEEE Transactions on Power Systems (Impact Factor: 3.53). 06/2005; 20(2):903 - 915. DOI: 10.1109/TPWRS.2005.846197
Source: IEEE Xplore

ABSTRACT IEEE Std 421.5 as revised by the IEEE excitation system subcommittee will introduce a new type of power system stabilizer model, the multiband power system stabilizers (PSSs). Although it requires two inputs, like the widely used IEEE PSS2B, an integral of accelerating power PSS introduced at the beginning of the nineties as the first practical implementation of a digital PSS, the underlying principle of the new IEEE PSS4B makes it sharply different. The present paper aims at assessing the two families of PSS's from the point of view of their relative performance in tackling a wide range of system problems, using a single set of so-called robust/universal settings. Conclusions are drawn from a large number of small- and large-signal analyzes performed on several test systems and on an actual Hydro-Que´bec system, paying due account to the load models and governor response. Since either of the candidate PSSs can easily be tuned to perform acceptably in a standard local and/or inter-area oscillation scenario, emphasis will be put on comparing them at the inherent limits of the PSS concept, i.e., considering excessive VAR modulation during large generation rejection, fast load pickup on hydro units, and excessive torsional interactions during faults on large turbine-generators.

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    • "The possibility of adding a tunable notch for within-band interference rejection is suggested. Another source of information for control system filtering requirements is the MB-PSS, widely used at Hydro-Québec, which is also known as IEEE PSS4B [29]. Fig. 2 shows that the 3-dB bandwidth of the frequency PMU embedded in the MBPSS is 12 Hz, with an attenuation of only dB at 35 Hz. "
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    ABSTRACT: For the first time, IEEE Std. C37.118.1-2011 now provides metrics for PMU dynamic performance in terms of classes P and M filter designs. This paper attempts to determine whether fulfilling these requirements makes the PMU inherently well suited for stability control applications such as wide-area power system stabilizers (PSSs). In this aim, we considered two different frequency-adaptive approaches for class-P and -M compliance to ensure operation over a wide frequency range. The first is based on a finite-impulse response (FIR) with no overshoot in either the phase or the amplitude step responses, while the second is Kalman filter-based (EKF), which allows for a more refined out-of-band interference rejection at the cost of a phase step response with overshoot. These two approaches are benchmarked against Hydro-Québec`s existing PSS requirements and the conclusion is that the total vector error-based response time is not indicative of the phase lag within the frequency band of interest, nor of the 3-dB bandwidth under sinusoidal amplitude/frequency modulation phenomena, which are key criteria when specifying PSS PMUs. Using simulated and field-recorded network fault responses, we also show that a class-M PMU is unsatisfactory for wide-area stabilizing control, unless its performance is improved during the fault period, which is not covered by Std. C37.118.1-2011.
    IEEE Transactions on Power Systems 05/2013; 28(2). DOI:10.1109/TPWRS.2012.2221168 · 3.53 Impact Factor
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    • "For the low frequency perturbation that occurs between power systems in wide-area operation, however there is little system perturbation information included in the active power, so PSS P − Δ has little effectiveness. As a solution to that problem, ω Δ Δ + P PSS, which uses the internal frequency or the rotational speed (ω ) as well as the active power is effective for low frequencies, is used [24] [25]. In multi input PSS, a circuit for improving transitional stability is added to achieve an excellent effect for both transitional stability and operating stability. "
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    ABSTRACT: The objective of this work is to coordinated design controllers that will enhance damping of power system oscillations. With presence of FACTS device as UPFC Two specific classes of PSS have been investigated, the first one is a conventional power system stabilizer (CPSS) and the second is Multiinput power system stabilizer (MPSS). Since uncoordinated CPSS (or MPSS) and UPFC damping controller may cause unwanted interactions, it is necessary to simultaneous coordinated tune the controller parameters. The problem of coordinated design is formulated as an optimization problem and particle swarm optimization algorithm is employed to search for optimal parameters of controllers. A Multi-input signal PSS is introduced to maintain the robustness of control performance in a wide range of oscillation frequency. Finally in a system having a UPFC a comparative analysis between results from application of the MPSS and CPSS is presented. The eigenvalue analysis and the time domain simulation results show that the multi-input PSS and UPFC coordination provides a better performance than the conventional single input PSS and UPFC coordination.
    26th International Power System Conference (PSC); 01/2011
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    • "These works investigated the use of genetic algorithms for simultaneously stabilization of multi-machine power system over a wide range of scenarios through power system stabilizers with fixed parameters. [7] Formulates the robust PSS design as a multi-objective optimization problem and employs GA to solve it. Improving damping factor and damping ratio of the lightly damped or un-damped electromechanical modes are two objectives. "
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    ABSTRACT: This paper introduces an optimal placement and tuning of robust multi-machine Power System Stabilizer (PSS) using Honey Bee Mating Optimization (HBMO). This problem is formulated as an optimization problem, which is solved using HBMO technique. Hence the proposed approach employs HBMO to search for optimal location and parameters settings of a widely used Conventional fixed-structure lead-lag PSS (CPSS). One of the main advantages of the proposed approach is its robustness to the initial parameter settings. The effectiveness of the proposed method is demonstrated on the two-area four-machine (TAFM) system of Kundur in comparison with the Strength Pareto Evolutionary Algorithm (SPEA), Genetic Algorithm (GA) and Quantitative Feedback Theory (QFT) based tuned PSS under different loading condition. The proposed method of tuning the PSS is an attractive alternative to conventional fixed gain stabilizer design as it retains the simplicity of the conventional PSS and at the same time guarantees a robust acceptable performance over a wide range of operating and system condition.
    In: Proceedings of the international conference on artificial intelligence, Las Vegas, ‎Nevada, USA‎; 01/2011
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