Optimal allocation of TCSC using adaptive cuckoo search algorithm

Taleb, M.; Salem, A.; Ayman, A Aly; Azma, Mohammad

doi:10.1109/mepcon.2016.7836920

Cited by 13 publications

(5 citation statements)

References 7 publications

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“…The robustness of this proposed methodology was performed with a comparison with a GA open loop STATCOM under different conditions of operations and disturbances. A new version of the CS approach, called an adaptive CS (ACS) algorithm, was also used by [155] for TCSC's optimal size and placement to reduce the total transmission losses and therefore improve the voltage profile. A modified IEEE 9-bus test network was applied to validate the efficiency and the ability of the ACS to provide the best solution when compared with GA and PSO.…”

Section: • Cs Algorithmmentioning

confidence: 99%

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: • Cs Algorithmmentioning

confidence: 99%

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

et al. 2023

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“…al. [6] through optimal allocation of Thyristor Controlled Series Compensator (TCSC) in a power system using Cuckoo Search Algorithm (CSA). Gitizadeh [7] has proposed the implementation of modified version of Simulated Annealing (SA) optimization technique to solve optimal FACTS devices installation for power system congestion alleviation.…”

Section: Introductionmentioning

confidence: 99%

“…while the maximum value of γ TCSC is set at 0.2 p.u. The limitation of γ TCSC can be mathematically expressed as in(6).…”

mentioning

confidence: 99%

Optimal TCSC Allocation via Chaotic Immune Symbiotic Organisms Search for Voltage Profile Improvement

et al. 2020

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As the load demand in a power system increases, power system operators struggle to maintain the power system to be operated within its acceptable limits. If no mitigation actions are taken, a power system may suffer from voltage collapse, which in turn leads to blackout. Flexible AC Transmission System (FACTS) devices can be employed to help improve the voltage profile of the power system. This paper presents the implementation of Chaotic Immune Symbiotic Organism Search (CISOS) optimization technique to solve optimal Thyristor Controlled Series Compensator (TCSC) in a power system for voltage profile improvement. Validation process are conducted on IEEE 26-bus RTS resulting in the capability of CISOS in solving the allocation problem with a better voltage profile. Comparative studies conducted with respect to Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) has revealed the superiority of CISOS over PSO and EP in solving the optimal allocation problem by producing optimal solution with a better voltage profile. The results and information obtained from this study can help power system operator in terms of optimal compensation in power system as well as improving the operation of a power system.

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“…In this paper, we suggest two Evolutionary Optimization Techniques, in particular Differential Evolution and Genetic Algorithm to choose the ideal location and the ideal parameter setting of TCSC which limit the dynamic power losses in the control system, and look at their exhibitions. The results are executed in the paper together with fitting discussion [4].…”

Section: Introductionmentioning

confidence: 99%

Thyristor Controlled Series Capacitor based on TLBO

2019

IJRTE

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Thyristor Controlled Series Capacitor is main of the FACTS controller is an impedance compensation. The voltage power system should dependably in the reasonable range of ensure stability. A powerful technique of optimization is known as ‘Teaching–Learning-Based Optimization’. The New approach depends upon the impact of teacher on the output of learners in the class. Teaching–Learning-Based Optimization (TLBO) algorithm is contrasted with various optimization algorithms; the results explain the best performance of TLBO method. Simulations will be carried out using MATLAB programming to check the execution of Thyristor Controlled Series Capacitor.

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Optimal allocation of TCSC using adaptive cuckoo search algorithm

Cited by 13 publications

References 7 publications

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

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

Optimal TCSC Allocation via Chaotic Immune Symbiotic Organisms Search for Voltage Profile Improvement

Thyristor Controlled Series Capacitor based on TLBO

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