Modeling of the generalized unified power flow controller for optimal power flow

Lubis, Rakhmad Syafutra; Hadi, Sasongko Pramono; Tumiran,

doi:10.1109/iceei.2011.6021763

Cited by 15 publications

(10 citation statements)

References 14 publications

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“…This section presents the power injection model that represents the GUPFC in the power flow. This model is based on a configuration with three voltage source converters (VSCs) connected via a common dc link [24]. Fig.…”

Section: Generalized Unified Power Flow Controllermentioning

confidence: 99%

“…Equation 24calculates the bacterium health at each displacement Θ i (j, k, l), which represents the cost function of the optimization problem, including the portion J cc from the agglomeration step 1, k, l)). (24) The second step, called agglomeration, is the tendency of the bacteria to organize and converge toward the same spot. The mathematical function for agglomeration, considering cell-cell signaling by attraction and repulsion, is defined as…”

Section: B Bfo Oriented By Psomentioning

confidence: 99%

See 1 more Smart Citation

Coordinated Tuning of the Parameters of PSS and POD Controllers Using Bioinspired Algorithms

Miotto

Araujo

Fortes

et al. 2018

IEEE Trans. on Ind. Applicat.

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This paper presents a technique based on the novel bat algorithm (NBA) for the design of the parameters of power system stabilizers and the generalized Unified power flow controllerpower oscillation damping in a multimachine power system. The objective is to ensure minimal damping rates to low-frequency electromechanical oscillation modes. Simulations were carried out on the New England system to compare the performance of the NBA with three other techniques: particle swarm optimization, bacterial foraging optimization oriented by particle swarm optimization, and the bat algorithm. For the cases analyzed in this paper, the NBA produced results superior to other techniques. Moreover, the proposed methodology was able to obtain solutions with high damping levels, which showed to be robust when a wide range of loading conditions of the power system were considered.

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Section: Generalized Unified Power Flow Controllermentioning

confidence: 99%

Section: B Bfo Oriented By Psomentioning

confidence: 99%

Coordinated Tuning of the Parameters of PSS and POD Controllers Using Bioinspired Algorithms

Miotto

Araujo

Fortes

et al. 2018

IEEE Trans. on Ind. Applicat.

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“…As shown in [7] and illustrated in Fig. 2, a constraint that must be satisfied for the correct operation of the GUPFC in the EPS is related to the exchange of active power between converters.…”

Section: Gupfc Power Injection Modelmentioning

confidence: 99%

“…Although the GUPFC power injection model presented in Eqs. (6)- (9) is based on the model presented in [7,8], the model described herein has an added advantage because it is independent of the r in and c n parameters, thereby eliminating a need for them to be calculated. Fig.…”

Section: Gupfc Power Injection Modelmentioning

confidence: 99%

The influence of GUPFC FACTS device on small signal stability of the electrical power systems

Valle¹,

Araujo²

2015

International Journal of Electrical Power & Energy Systems

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“…This controller, which consists of two or more series converters coordinated with one shunt converter, is known as a generalized unified power flow controller (GUPFC). A simple GUPFC model was implemented in [41], which considered a nonlinear predictor-corrector primal-dual interior point OPF without converter switching losses. A simple quadratic cost function was optimized to satisfy equality and inequality constraints.…”

Section: Introductionmentioning

confidence: 99%

Multi-area Multi-fuel Economic–Emission Dispatch Using a Generalized Unified Power Flow Controller Under Practical Constraints

Suresh

Sivanagaraju

Rao³

2014

Arab J Sci Eng

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This paper presents a novel optimization algorithm for the multi-area multi-fuel economic-emission dispatch problem and total power loss objective. The proposed method uses the uniform distribution to determine the control parameters and employs a two-stage initialization process. This enables various objectives to be optimized under practical constraints and device limits. We formulate a realistic generation cost that includes the cost of reactive power generation, shunt power injections, and total power losses, along with the conventional active power generation cost. A novel objective based on the concept of multi-fuel emissions makes the problem more realistic, and a generalized unified power flow controller (GUPFC) is considered. A detailed power injection model is developed for a GUPFC with two series converters, including switching losses of converters. A nondominated sorting methodology and particle swarm optimization algorithm are then used to solve the multi-objective problem on the standard IEEE-30 bus and real-time Indian-124 bus test systems.Keywords GUPFC power injection model · Multi-fuel active power cost · Multi-fuel reactive power cost · Multi-fuel emissions · GUPFC installation cost · NSUDTPSO

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Modeling of the generalized unified power flow controller for optimal power flow

Cited by 15 publications

References 14 publications

Coordinated Tuning of the Parameters of PSS and POD Controllers Using Bioinspired Algorithms

Coordinated Tuning of the Parameters of PSS and POD Controllers Using Bioinspired Algorithms

The influence of GUPFC FACTS device on small signal stability of the electrical power systems

Multi-area Multi-fuel Economic–Emission Dispatch Using a Generalized Unified Power Flow Controller Under Practical Constraints

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