Black Hole Algorithm Implemented for Congestion Management in a Competitive Power Market

Ramachandran, Rajeswari; Arun, M.

doi:10.5120/ijca2016911608

Cited by 3 publications

(3 citation statements)

References 26 publications

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“…This employed BH strategy was performed on test system with IEEE 30-bus. R. Ramachandran et al [171] have been investigated the same BH strategy for the proper locations of FACTS controllers in order to reduce the total congestion cost Under Line outage contingency conditions. a comparison to other methods of optimization like BBBC and PSO was outperformed on IEEE-30 bus and Modified IEEE-57 bus test network to justify the robustness of this employed BH algorithm.…”

Section: Bh Algorithmmentioning

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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Section: Bh Algorithmmentioning

confidence: 99%

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

Ismail¹,

Guesmi²,

Alshammari³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The BH strategy was performed on an IEEE 30-bus test system. Ramachandran et al [171] investigated the same BH strategy for the proper locations of FACTS controllers in order to reduce the total congestion cost under line outage contingency conditions. A comparison to other methods of optimization such as BBBC and PSO was performed on an IEEE 30-bus and modified IEEE 57-bus test network to justify the robustness of the BH algorithm.…”

Section: • Bh 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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“…The influences of thyristor controlled series compensator (TCSC) and static var compensator (SVC) on transmission pricing at the competitive markets are reported in [12]. To manage the congestions in the congested critical state, re-dispatching the optimal power to alleviate the congestions from the transmissions line is presented at [13][14][15]. In the literatures [16][17][18] generator sensitivity based approaches are applied to re-dispatch the optimal active power to eliminate the congestion in the transmission line.…”

Section: Introductionmentioning

confidence: 99%

Optimal Rescheduling of Real and Reactive Power for Congestion Management under Competitive Environment

Ramachandran¹,

Arun²

2016

IJAERS

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Black Hole Algorithm Implemented for Congestion Management in a Competitive Power Market

Cited by 3 publications

References 26 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

Optimal Rescheduling of Real and Reactive Power for Congestion Management under Competitive Environment

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