Estudo das limitações impostas ao amortecimento de oscilações eletromecânicas pelos zeros da FTMA de controladores suplementares

J Control Autom Electr Syst

Valle

2016

In this paper, we propose a methodology to tune power system stabilizers and thyristor-controlled series capacitor damping controllers simultaneously. The particle swarm optimization algorithm is incorporated into a power system model to tune the parameters of supplementary damping controllers. A test power system of 10 generators, 39 buses and 46 transmission lines is simulated to validate the use of this optimization algorithm. The tuning of supplementary damping controllers using the proposed methodology increases their performance to provide additional damping to low-frequency oscillation modes in the simulated power system. The controller position is determined by the participation factors (power system stabilizers) and the distance between the interest pole and the zero of the open-loop transfer function of the power oscillation damping controller (thyristor-controlled series capacitor-power oscillation damping). The results show the operating efficiency of the power system after using the optimization technique to tune damping parameters, thereby improving power system integrity. The power sensitivity model is used for the simulations presented in this work focusing on the analysis small-signal stability.

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Design of PSS and TCSC Damping Controller Using Particle Swarm Optimization

Menezes

J Control Autom Electr Syst

Valle

2016

“…Based on this, it is proposed to install a controller for each oscillatory mode, eight PSSs (local modes) and one TCSC-POD (inter-area mode) with the aim of ensuring small-signal stability and increasing the damping of all modes to desired levels. Simulations not presented in this work were performed to determine the best location for the controllers, and it was considered the participation factors for the PSSs (Kundur 1994) and the open-loop transfer function (OLTF) for the POD (Moura et al 2012). Generators G1, G2, G3, G4, G5, G7, G8 and G9 were identified as the best locations to install the PSSs.…”

Section: Dynamic Analysis Of the Test Systemmentioning

confidence: 99%

Application of a Basic Variable Neighborhood Search Algorithm in the Coordinated Tuning of PSS and POD Controllers

Gamino

J Control Autom Electr Syst

2017

This paper proposes the application of a Basic Variable Neighborhood Search algorithm in the coordinated and simultaneous tuning of the parameters of damping controllers known as power system stabilizer and thyristorcontrolled series capacitor-power oscillation damping. The controllers are inserted into the multi-machine power system New England (10 generators, 39 buses and 46 transmission lines) in order to guarantee its small-signal stability. A current injection model for the thyristor-controlled series capacitor is presented and incorporated into the current sensitivity model, which is used to represent the electric power system and its components. The performance of the method proposed in this work is compared to three other methods found in the literature: local search, iterated local search and particle swarm optimization. The results show that, of the techniques analyzed, the Basic Variable Neighborhood Search is the most efficient for this type of problem, presenting high convergence rates and the shortest processing times with robust solutions considering different scenarios with load variations.

“…The representation in the time domain of a multi-machine EPS -composed of ng generators and nb buses -modeled by the CSM is given by (1)- (4). More detailed information about (1)-(4) can be found in [28].…”

Section: Current Sensitivity Modelmentioning

confidence: 99%

“…However, PSSs are not efficient to provide additional damping to inter-area mode oscillations. On the contrary, depending on the adjustments the effect may be the opposite of what is desired, thereby contributing to the instability of the EPS [4].…”

Section: Introductionmentioning

confidence: 99%

Coordinated tuning of the parameters of PI, PSS and POD controllers using a Specialized Chu–Beasley's Genetic Algorithm

Fortes

Electric Power Systems Research

Macedo

2016

This paper presents a Specialized Chu-Beasley's Genetic Algorithm (SCBGA) to perform coordinated tuning of the parameters of proportional-integral and supplementary damping controllers (power system stabilizers and interline power flow controller-power oscillation damping) in multi-machine electric power systems. The objective is to insert additional damping to low frequency electromechanical oscillations. The current sensitivity model was used to represent the system, therefore all of its devices and components were modeled by current injection. A novel current injection model for the interline power flow controller is presented and a static analysis is considered to validate it. The New England test system-consisting of 10 generators, 39 buses, and 46 transmission lines, divided into two areas with both local and inter-area oscillation modes-was used for the simulations. The SCBGA was compared to other five algorithms: a Random Search, a Local Search, a Simulated Annealing, a Genetic Algorithm, and a Particle Swarm Optimization method, in terms of performance for the tuning of the parameters of the controllers. The results demonstrated that the SCBGA was more efficient than these other techniques. In addition, the obtained solutions proved to be robust when variation of the loads was considered.