Optimal location of UPFC controller in transmission network using hybrid chemical reaction optimization algorithm

Dutta, Susanta; Roy, Provas Kumar; Nandi, Debashis

doi:10.1016/j.ijepes.2014.07.038

Cited by 62 publications

(28 citation statements)

References 31 publications

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“…The results were also compared with other heuristic approaches, PSO and DE to validate the effectiveness of the proposed technique. The author has extended this work in [168] by solving the optimal location and parameter setting optimization problem for UPFC in both single and multiobjective functions. Minimizing total generation cost and UPFC installation cost, enhancing voltage profile as well as reducing system power losses were formulated as the objective function and the optimal solutions were obtained using hybrid CRO-DE.…”

Section: Voltage Profilementioning

confidence: 99%

A Comprehensive Review on Optimal Location and Sizing of Reactive Power Compensation Using Hybrid-Based Approaches for Power Loss Reduction, Voltage Stability Improvement, Voltage Profile Enhancement and Loadability Enhancement

et al. 2020

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Section: Voltage Profilementioning

confidence: 99%

A Comprehensive Review on Optimal Location and Sizing of Reactive Power Compensation Using Hybrid-Based Approaches for Power Loss Reduction, Voltage Stability Improvement, Voltage Profile Enhancement and Loadability Enhancement

et al. 2020

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“…The technique projected can be used to lessen congestion and power stability, increase load capability and also to decrease line losses and production expenses by regulating the power movement in the system network. [16][17][18][19] Some recent researches projected SCOPF in electrical energy networks where the transmission cables are possibly instrumented with FACTS. Single objective OPF issue was resolved by means of certain advanced optimization methods stated in certain scripts, despite fulfilling system constraints.…”

Section: Related Workmentioning

confidence: 99%

A computational algorithm based on biogeography‐based optimization method for computing power system security constrains with multi FACTS devices

Kumar

Rani

Sundaravazhuthi

2020

Computational Intelligence

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A major role is played by the analysis of power system security in heightening system security and in system collapse condition avoidance. This article presents a cutting edge mechanism which is devised applying transmission line loadings as well as variance in bus voltage magnitude. The use of flexible alternating current transmission systems devices improves the objectives of generation fuel charges in addition to the severity index proposed which were investigated considering the contingency circumstances of generator(s) or/and transmission channel(s). To boost system security in spite of contingency circumstances in the existence of unified power flow controller or UPFC, it would be most appropriate to pinpoint a most advantageous position to install aforementioned device. We propose a model of UPFC where power insertion is done by using voltage source. Also a procedure to incorporate the same and a strategy to find optimum position has been proposed which uses line overload sensitivity indices. This work mainly focused on establishment of available transfer capability on the heavily congested line. The proposed congestion management scheme alleviates the heavy stress in transmission line and provides an ample corridor for the power to flow. Biogeography-based optimization or

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“…The effectiveness and performance of the DE-CRO algorithm has been verified on four test systems of conventional static economic load dispatch problem [ 51 ]. Dutta et al [ 53 ] applied the DE-CRO algorithm to unified power flow control problem to determine the optimal parameter setting for power system network.…”

Section: Variants Of Cromentioning

confidence: 99%

Nature-Inspired Chemical Reaction Optimisation Algorithms

Siddique

Adeli

2017

Cogn Comput

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Nature-inspired meta-heuristic algorithms have dominated the scientific literature in the areas of machine learning and cognitive computing paradigm in the last three decades. Chemical reaction optimisation (CRO) is a population-based meta-heuristic algorithm based on the principles of chemical reaction. A chemical reaction is seen as a process of transforming the reactants (or molecules) through a sequence of reactions into products. This process of transformation is implemented in the CRO algorithm to solve optimisation problems. This article starts with an overview of the chemical reactions and how it is applied to the optimisation problem. A review of CRO and its variants is presented in the paper. Guidelines from the literature on the effective choice of CRO parameters for solution of optimisation problems are summarised.

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Optimal location of UPFC controller in transmission network using hybrid chemical reaction optimization algorithm

Cited by 62 publications

References 31 publications

A Comprehensive Review on Optimal Location and Sizing of Reactive Power Compensation Using Hybrid-Based Approaches for Power Loss Reduction, Voltage Stability Improvement, Voltage Profile Enhancement and Loadability Enhancement

A Comprehensive Review on Optimal Location and Sizing of Reactive Power Compensation Using Hybrid-Based Approaches for Power Loss Reduction, Voltage Stability Improvement, Voltage Profile Enhancement and Loadability Enhancement

A computational algorithm based on biogeography‐based optimization method for computing power system security constrains with multi FACTS devices

Nature-Inspired Chemical Reaction Optimisation Algorithms

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