Optimal Location of Multi-types of FACTS Devices using Genetic Algorithm

Sarda, Jigar; Pandya, Viren B.; Chauhan, Manish J.; Patel, Dhaval

doi:10.7815/ijorcs.23.2012.023

Cited by 5 publications

(5 citation statements)

References 11 publications

(6 reference statements)

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“…GA is easy to use, which makes it flexible and powerful in an acceptable computation time, and trapping in the local optimum can be avoided by the right diversity of solutions. On the other hand, it is strongly dependent on the rate of crossing and mutation, which makes its convergence a little slow with no guarantee of finding the global optimum [92,103,244]. The PSO approach is easy to use, has a simple implementation, is not strongly dependent on initial points, does not have a large number of parameters to tune, and has a high chance of convergence.…”

Section: Discussionmentioning

confidence: 99%

“…Simulations carried out on an IEEE 30-bus test network demonstrated the ability and efficiency of this applied strategy. For the optimal positioning and parameters of FACTS controllers containing TCSC, SVC, and UPFC, a GA was used by [103]. This algorithm was implemented on the test system with an IEEE 30-bus to reduce the power losses and improve the voltage profile under different loading conditions.…”

Section: Evolutionary Algorithmsmentioning

confidence: 99%

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Optimized FACTS Devices for Power System Enhancement: Applications and Solving Methods

et al. 2023

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The use of FACTS devices in power systems has become increasingly popular in recent years, as they offer a number of benefits, including improved voltage profile, reduced power losses, and increased system reliability and safety. However, determining the optimal type, location, and size of FACTS devices can be a challenging optimization problem, as it involves mixed integer, nonlinear, and nonconvex constraints. To address this issue, researchers have applied various optimization techniques to determine the optimal configuration of FACTS devices in power systems. The paper provides an in-depth and comprehensive review of the various optimization techniques that have been used in published works in this field. The review classifies the optimization techniques into four main groups: classical optimization techniques, metaheuristic methods, analytic methods, and mixed or hybrid methods. Classical optimization techniques are conventional optimization approaches that are widely used in optimization problems. Metaheuristic methods are stochastic search algorithms that can be effective for nonconvex constraints. Analytic methods involve sensitivity analysis and gradient-based optimization techniques. Mixed or hybrid methods combine different optimization techniques to improve the solution quality. The paper also provides a performance comparison of these different optimization techniques, which can be useful in selecting an appropriate method for a specific problem. Finally, the paper offers some advice for future research in this field, such as developing new optimization techniques that can handle the complexity of the optimization problem and incorporating uncertainties into the optimization model. Overall, the paper provides a valuable resource for researchers and practitioners in the field of power systems optimization, as it summarizes the various optimization techniques that have been used to solve the FACTS optimization problem and provides insights into their performance and applicability.

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Section: Discussionmentioning

confidence: 99%

Section: Evolutionary Algorithmsmentioning

confidence: 99%

Optimized FACTS Devices for Power System Enhancement: Applications and Solving Methods

et al. 2023

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show abstract

“…Simulation results have been carried out on IEEE 30-bus test network to performed the ability and efficiency of this applied strategy. For optimal position and parameters sizing of FACTS controllers containing TCSC, SVC and UPFC, a GA was used by [103]. This algorithm was implemented on the test system with IEEE 30-bus, to reduce the power losses and improve the voltage profile under different loading conditions.…”

Section: Summary Of Meta Heuristic Methods Related To Facts Devices O...mentioning

confidence: 99%

“…Within this context, some advantages and disadvantages for several metaheuristic optimization approaches can be cited in the following of this discussion like GA that its use is easy, which makes it flexible and powerful in an acceptable computation time, trapping in the local optimum can be avoided by the right diversity of solutions. But on the other hand, it is strongly dependent on the rate of crossing and mutation which makes its convergence a little slow with no guarantee of finding the global optimum [92,103,244]. The PSO approach is easy to use, has a simple implementation, is not strongly dependent on initial points and does not have a large number of parameters to tune and has a high chance of convergence.…”

Section: Benefitsmentioning

confidence: 99%

Optimized FACTS Devices for Power System Enhancement: Applications and Solving Methods

Ismail¹,

Guesmi²,

Alshammari³

et al. 2023

Preprint

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Using flexible AC transmission system (FACTS) devices in power systems while adhering to some equality and inequality constraints, researchers around the world sought to address this issue with the objectives of improving the voltage profile, reducing power losses in transmission lines, and increasing system reliability and safety. The recent development of FACTS controllers opens up new perspectives for safer and more efficient operation of electrical power networks by continuous and rapid action on power systems parameters, such as phase angle shifting, voltage injection and line impedance compensation. Thus, an improvement on voltage profile and enhancement of power transfer capability can be obtained. It is for that, the idea behind the FACTS concept is to enable the transmission system to be an active element in increasing the flexibility of power transfer requirements and in securing stability of integrated power system. It may also be effective in transient stability improvement, power oscillations damping and balancing power flow in parallel lines. The primary issue that has significantly piqued the interest of a number of researchers working in this field is the FACTS optimization problem, which involves determining the optimal type, location, and size of FACTS devices in electrical power systems. For solving this mixed integer, nonlinear and non-convex optimization problem, this paper provides an in-depth and comprehensive review of the various optimization techniques covered in published works in the field. In this review, a classification of optimization techniques in five main groups that are widely used, such as classical optimization techniques or conventional optimization approaches, Meta heuristic methods, analytic methods or sensitive index methods and mixed or hybrid methods, is summarized. In addition, a performance descriptions and comparison of these different optimization techniques are discussed in this study. Finally, some advice is offered for future research in this field.

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“…And worse populations are discarded and by roulette wheel selection and then using crossover and mutation remaining chromosomes have created until time up or maximum iteration has defined. At the stage, the algorithm has converged, and most of the individuals in the population are generally identical, and represent a suboptimal solution to the problem [19] . GAs have convex crossover operator which is recombination of different parents chromosomes and make new child chromosome [15] .…”

Section: B Genetic Algorithm(ga)mentioning

confidence: 99%

Available Transfer Capability (ATC) Enhancement of Transmission Line Using TCSC FACTS Controller

Bhatt¹,

Sarda²

2017

IJERT

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Transfer of bulk electrical power over long distance is routine in the world in order to have reliable and economical electrical supply. But the transmission system has a limited capability of transfer power. The maximum power that can be transfer is called transfer capability. To operate the power system safely and to gain the benefits of the bulk power transfers, the transfer capabilities must be calculated and the power system plant an operated, so that the power transfer do not exceed the transfer capabilities. Thus, in this paper, for further power transactions, Available Transfer Capability has calculated and also enhanced by placing TCSC FACTS controller with the methodology using Continuation Power Flow on IEEE-24 bus RTS in MATLAB.

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Optimal Location of Multi-types of FACTS Devices using Genetic Algorithm

Cited by 5 publications

References 11 publications

Optimized FACTS Devices for Power System Enhancement: Applications and Solving Methods

Optimized FACTS Devices for Power System Enhancement: Applications and Solving Methods

Optimized FACTS Devices for Power System Enhancement: Applications and Solving Methods

Available Transfer Capability (ATC) Enhancement of Transmission Line Using TCSC FACTS Controller

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