New reactive power sources dispatch applied to the IEEE 57 nodes

Belazzoug, Messaoud; Boudour, Mohamed; Hellal, A.

doi:10.1108/03321640810890852

Cited by 11 publications

(5 citation statements)

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“…Minimizing power losses while satisfying a series of constraints is the primary objective of traditional optimal VAR dispatch (VARD) problem (Yan et al, 2006;Belazzoug et al, 2008). In the practical application, only considering single objective to minimize power losses seems to be insufficient in order to fully improve the performance of power systems.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective enhanced PSO algorithm for optimizing power losses and voltage deviation in power systems

Chen¹,

Liu

Guo

et al. 2016

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

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Purpose – For one thing, despite the fact that it is popular to research the minimization of the power losses in power systems, the optimization of single objective seems insufficient to fully improve the performance of power systems. Multi-objective VAR Dispatch (MVARD) generally minimizes two objectives simultaneously: power losses and voltage deviation. The purpose of this paper is to propose Multi-Objective Enhanced PSO (MOEPSO) algorithm that achieves a good performance when applied to solve MVARD problem. Thus, the new algorithm is worthwhile to be known by the public. Design/methodology/approach – Motivated by differential evolution algorithm, cross-over operator is introduced to increase particle diversity and reinforce global searching capacity in conventional PSO. In addition to that, a constraint-handling approach considering Constrain-prior Pareto-Dominance (CPD) is presented to handle the inequality constraints on dependent variables. Constrain-prior Nondominated Sorting (CNS) and crowding distance methods are considered to maintain well-distributed Pareto optimal solutions. The method combining CPD approach, CNS technique, and cross-over operator is called the MOEPSO method. Findings – The IEEE 30 node and IEEE 57 node on power systems have been used to examine and test the presented method. The simulation results show the MOEPSO method can achieve lower power losses, smaller voltage deviation, and better-distributed Pareto optimal solutions comparing with the Multi-Objective PSO approach. Originality/value – The most original parts include: the presented MOEPSO algorithm, the CPD approach that is used to handle constraints on dependent variables, and the CNS method which is considered to maintain a well-distributed Pareto optimal solutions. The performance of the proposed algorithm successfully reflects the value of this paper.

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Section: Introductionmentioning

confidence: 99%

Multi-objective enhanced PSO algorithm for optimizing power losses and voltage deviation in power systems

Chen¹,

Liu

Guo

et al. 2016

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

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“…Many conventional optimization algorithms have been applied to solve the problem of reactive power planning. Among these methods: linear and successive linear programming , projected and augmented Lagrange method , quadratic and sequential quadratic programming , and others. Unfortunately, these methods suffer from algorithmic complexity, poor computational time, sensitivity to initial search point, and do not guarantee the convergence to the global optimum point.…”

Section: Introductionmentioning

confidence: 99%

A new hybrid technique for power systems multi-facts optimization design

Amrane

Boudour

Belazzoug

2014

Int. Trans. Electr. Energ. Syst.

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Summary The purpose of this paper is to develop a new tool to the dispatching and optimization of reactive power resources using two kinds of the flexible alternating current transmission system devices, namely the static volt ampere reactive compensator and the Thyristor controlled series compensator. The fast voltage stability index and line stability index (Lmn) are used to identify the critical buses and lines, which will receive the flexible alternating current transmission system devices. The methodology carried out in this work is deployed in two phases. In the first one, we consider that the power system network is secure and operates within its stability limits and the balance between consumption and generation is satisfied. Thus, the solution of optimization program of the fuel cost minimization problem using the interior point method gives a feasible solution where the reactive power compensation is not considered. In the second phase, the power system network is unsecure and operates close to its secure limits. Although the optimization program of the fuel cost minimization problem gives a non‐feasible solution, the reactive power compensation is, in this case, introduced to solve the problem. The power transmission line factor minimization problem is applied after each phase to improve the solution of the problem by minimizing the power flow in the transmissions lines. The reactive power planning and the power transmission line factor minimization problems are solved with a new hybrid technique combining particle swarm optimization with a nonlinear interior point method. Furthermore, the fuel cost minimization problem is solved with the interior point method. The methodology has been tested with the IEEE 57‐bus system, and the simulation results show the effectiveness of the proposed approach for improving the reactive power planning problem. Copyright © 2014 John Wiley & Sons, Ltd.

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“…In [13] mathematical modeling of FACTS has been discussed. Srinivas and Deb introduced NSGA [14]. NSGA has shown its limitation for complexity in computational, lack of elitism and for choosing the optimal parameter value for sharing parameter.…”

Section: Introductionmentioning

confidence: 99%