An Incremental Approach to the Coordinated Tuning of Power Systems Stabilizers Using Mathematical Programming

Zanetta, L.C.; Cruz, José Jaime da

doi:10.1109/tpwrs.2005.846111

Cited by 36 publications

(25 citation statements)

References 14 publications

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“…It has nine synchronous machines with power system stabilizers and one machine (number 39) modeled as an infinite bus. The system contains 39 AC buses represented as constant impedance; more details can be found in [21]. The original IEEE type I automatic voltage regulators were changed to static excitation systems with time constants fixed in 0.05 s. The regulators gains were adopted according to the relations of the time constants of each generator, with the following gain values for the generators 30-38, respectively: 102, 65.6, 57, 56.9, 54, 73, 56.6, 67 and 47.9.…”

Section: Resultsmentioning

confidence: 99%

“…Generally, if this constrained structure for the PSS is considered, then the implementation of the proposed control will be feasible, while considering a controller with free structure makes its implementation infeasible with the tools available in the power industry. This constrained structure is given by the following transfer function [21]:…”

Section: Power System Stabilizers and The System Closed Loop Structurementioning

confidence: 99%

“…Our control policy consists on apply an output feedback to the system [21]. Moreover, the controller must have a decentralized structure, other important feature to be considered in power systems due to its geographically disperse distribution of machines.…”

Section: Power System Stabilizers and The System Closed Loop Structurementioning

confidence: 99%

“…The idea of this paper is to create a novel framework that turns possible to place the poles of the closed-loop system in a desired and well defined region of the complex plane using decentralized and pre-defined controller structure, like that described in [21], in order to enhance the dynamic performance of the power system for various operating points. The controller structure flexibilization is an important feature explored in this paper.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Robust and optimal adjustment of Power System Stabilizers through Linear Matrix Inequalities

Campos

Cruz

Zanetta

2012

International Journal of Electrical Power & Energy Systems

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Section: Resultsmentioning

confidence: 99%

Section: Power System Stabilizers and The System Closed Loop Structurementioning

confidence: 99%

Section: Power System Stabilizers and The System Closed Loop Structurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Robust and optimal adjustment of Power System Stabilizers through Linear Matrix Inequalities

Campos

Cruz

Zanetta

2012

International Journal of Electrical Power & Energy Systems

Self Cite

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“…The multi-operating conditions and multi-machine damping coupling must be considered when a robust parameter tuning method for a PSS is designed. Many different algorithms have been proposed to optimize the parameters of multi-machine power system stabilizers in [25][26][27][28][29] researched by Abido. Tse, C.T.…”

Section: Introductionmentioning

confidence: 99%

Model of Power System Stabilizer Adapting to Multi-Operating Conditions of Local Power Grid and Parameter Tuning

Hu¹,

Ji²,

Jin

et al. 2018

Sustainability

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Abstract:The rapid development of the modern power grid has resulted in significant changes to the dynamic characteristics of regional power grids. Moreover, the operating conditions of power grids are increasingly complex, and uncertainty factors are on the rise, which makes it difficult for a conventional power system stabilizer (PSS) to provide enough damping for the power system. To solve the problem where the conventional model and parameter-tuning method of a PSS cannot adapt to the multi-operating conditions of the modern power system, a new emergency control model of PSS (E-PSS) that can adapt to the multi-operating conditions of the local power grid and a method of parameter tuning based on probabilistic eigenvalue are proposed in this paper. An emergency control channel is also installed on the PSS2B. The conventional channel is used to control the system under normal operating conditions, which ensures that the system meets the conditions of dynamic stability in 99% of operating conditions, and the emergency control is adopted immediately in extreme conditions. Through the process of parameter tuning, the adaptability of the PSS to multi-operating conditions and damping coupling are both considered. Finally, it is verified that the emergency control model of the PSS and the parameter tuning method are effective and robust by a series of simulations based on MATLAB and its Power system analysis toolbox (PSAT). The rapidity of the emergency control can guarantee its effectiveness.

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A pole placement approach for multi‐band power system stabilizer tuning

Peres

Coelho

Costa

2020

Int Trans Electr Energ Syst

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Low-frequency electromechanical oscillations is a topic of great concern in power system operation. Undamped oscillations reduce the power transfer capacity and can lead the system to blackouts. Since the 70s, synchronous generators operate with power system stabilizers that add damping torque to oscillations through the excitation system control. These controllers can have either a conventional fixed structure, composed by stages of gain and phase compensation, or a multi-band structure (MB-PSS), composed by three bands that correspond to a specific frequency range (low, intermediate and high frequency). In the MB-PSS structure, each band consists of two branches based on differential filters (with a gain stage and lead-lag blocks). This paper presents an approach based on the Newton-Raphson method for tuning MB-PSS for power systems taking into consideration several operating conditions to ensure robustness. The approach adjusts the controller's gains to place a set of poles into a region in the complex plane with a desired damping ratio. Firstly, the method is applied to the well-known single-machine infinite bus system represented by the Heffron-Phillips model. Secondly, an application to the multimachine South-Southeastern Brazilian power system is discussed considering different operating conditions. The convergence of the proposed approach is evaluated regarding the initial conditions, the desired damping ratio, and the set of monitored poles. Linear and nonlinear time-domain simulations validate the designed controllers. Finally, it is shown that the computational effort required by the proposed approach is lower than the one required by a class of methods widely reported in the literature for MB-PSS design. List of symbols and abbreviations: FACTS, flexible alternating current transmission systems; LFO, low-frequency oscillations; MB-PSS, multi-band power system stabilizer; PSS, power system stabilizer; PSS2B, stabilizer based on the integral acceleration power; PSS4B, multi-band power system stabilizer; STATCOM, static synchronous compensator; SVC, static Var compensator; Var, volt-ampere reactive; WADC, wide-area damping control; ΔU REF , reference voltage of the excitation system (pu); ΔU PSS , supplementary stabilizing signal (MB-PSS output) (pu); K a , gain of the excitation system (pu); R s , reactance of the stator (pu); T a , time constant of the excitation system; T 0 d0 , d-axis transient open circuit time constant of generator (s); X d , d-axis synchronous reactance of generator (pu); X 0 d , d-axis transient reactance of generator (pu); X q , q-axis synchronous reactance of generator (pu); f e , electric frequency (Hz); ξ d , desired damping ratio; ξ min , minimum damping ratio; ΔE FD , field voltage (exciter output) of generator (pu); ΔE 0 q , internal voltage of generator (pu); Δu, input variables vector; Δx, state variables vector; Δy, output variables vector; Δδ, internal angle of generator (rad); Δω pu , rotor speed deviation of generator (pu); ABCD, state, input, output, and feed-forwar...

show abstract

An Incremental Approach to the Coordinated Tuning of Power Systems Stabilizers Using Mathematical Programming

Cited by 36 publications

References 14 publications

Robust and optimal adjustment of Power System Stabilizers through Linear Matrix Inequalities

Robust and optimal adjustment of Power System Stabilizers through Linear Matrix Inequalities

Model of Power System Stabilizer Adapting to Multi-Operating Conditions of Local Power Grid and Parameter Tuning

A pole placement approach for multi‐band power system stabilizer tuning

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