Adjusted solutions in fast decoupled load flow

Chang, S.-K.; Brandwajn, V.

doi:10.1109/59.192928

Cited by 68 publications

(31 citation statements)

References 11 publications

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“…The error feedback method that has been used successfully in single-phase power flow solutions [21,22] can be used for unbalanced distribution systems, as shown in Abur et al [23]; this technique is used in this paper. The amount of tap correction is calculated by:…”

Section: Probabilistic Equality and Inequality Constraintsmentioning

confidence: 99%

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Allocation of Capacitors and Voltage Regulators in Unbalanced Distribution Systems: A Multi-objective Problem in Probabilistic Frameworks

Carpinelli

Noce

Russo

et al. 2014

International Journal of Emerging Electric Power Systems

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Capacitors and series voltage regulators are used extensively in distribution systems to reduce power losses and improve the voltage profile along the feeders. This paper deals with the problem of contemporaneously choosing optimal locations and sizes for both capacitors and series voltage regulators in three-phase, unbalanced distribution systems. This is a mixed, nonlinear, constrained, multi-objective optimization problem that usually is solved in deterministic scenarios. However, distribution systems are stochastic in nature, which can lead to inaccurate deterministic solutions. To take into account the unavoidable uncertainties that affect the input data related to the problem, in this paper, we have formulated and solved the multi-objective optimization problem in probabilistic scenarios. To address the multi-objective optimization problem, algorithms were used in which all the objective functions were combined to form a single function. These algorithms allow us to transform the original multi-objective optimization problem into an equivalent, single-objective, optimization problem, an approach that appeared to be particularly suitable since computational time was an important issue. To further reduce the computational efforts, a linearized form of the equality constraints of the optimization model was used, and a micro-genetic algorithm-based procedure was applied in the solution method.

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Section: Probabilistic Equality and Inequality Constraintsmentioning

confidence: 99%

“…Further details about the calculation of sensitivity factors can be found in Chang and Brandwaijn [22] and Abur et al [23].…”

Section: Probabilistic Equality and Inequality Constraintsmentioning

confidence: 99%

Allocation of Capacitors and Voltage Regulators in Unbalanced Distribution Systems: A Multi-objective Problem in Probabilistic Frameworks

Carpinelli

Noce

Russo

et al. 2014

International Journal of Emerging Electric Power Systems

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show abstract

“…Then, control variables are adjusted for the next iteration in proportion to the residual of the respective regulated quantities, with the help of pre-computed sensitivities or by directly using the actual gains of the local controllers being emulated (seldom available to the load flow user). This last approach is inherently associated with methods using constant Jacobians [19,20], but is also common in distribution load flows [21]. As pre-computed sensitivities ignore mutual effects, this scheme may lead to unexpected oscillations and poor convergence [22], particularly in distribution systems where the interaction among nearby controllers is not negligible [23,24].…”

Section: Introductionmentioning

confidence: 99%

Hybrid real–complex current injection-based load flow formulation

Gómez-Expósito¹,

Ramos²,

Džafić

2015

Electric Power Systems Research

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“…Problems regarding steady state and transient analysis of power systems mainly require iterative solutions of large sets of equations representing system components [1]. The load flow calculation is one of the most basic problems in power engineering [2][3][4][5][6][7][8]. The repetitive solution of a large set of linear equations in the load flow problem is one of the most time consuming parts of power system simulations.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Based Efficient Load Flow Analysis

Chakravorty¹,

Chakravorty²,

Ghosh³

2009

IJCEE

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Abstract-Load flow calculation is one of the most basic problems in power engineering. The repetitive solution of a large set of linear equations in load flow problem is one of the most time consuming parts of power systems simulations. Load flows are calculated using the traditional method such as Gauss Seidel or Newton Raphson methods. Gauss Seidel algorithm is an iterative numerical procedure and in this method the number of iteration depends on the acceleration factor (α). Here we attempt to choose the acceleration factor (α) using fuzzy logic technique so as to minimize the number of iteration and get the result in minimum required time. Comparison of the method with traditional method has been shown in the paper which proves the validity of the result. The paper shows as to how the application of Fuzzy technique in choosing an appropriate acceleration factor reduces the number of iteration and helps in obtaing the solution at a faster rate with optimum number of iterationThe simulation in carried out in MATLAB environment. Index Terms-Load flow, Fuzzy logic technique. Gauss Seidel Method

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Adjusted solutions in fast decoupled load flow

Cited by 68 publications

References 11 publications

Allocation of Capacitors and Voltage Regulators in Unbalanced Distribution Systems: A Multi-objective Problem in Probabilistic Frameworks

Allocation of Capacitors and Voltage Regulators in Unbalanced Distribution Systems: A Multi-objective Problem in Probabilistic Frameworks

Hybrid real–complex current injection-based load flow formulation

A Fuzzy Based Efficient Load Flow Analysis

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