Optimal TCSC placement for congestion management in deregulated power systems using antlion optimization algorithm

Moazzami, Majid; Shahinzadeh, Hossein; Gharehpetian, Gevork B.; Shafiei, Abolfazl

doi:10.11591/ijra.v8i2.pp77-88

Cited by 3 publications

(5 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, the authors in ref. [112] investigated the same methodology by selecting the best setting and appropriate location of the TCSC for achieving maximum system loadability as well as reductions in both losses and production costs. In this work, the effectiveness and ability of this ALO technique was performed on an IEEE 14-bus test network while complying with all market-imposed restrictions on equality and inequality.…”

Section: • Alo Techniquementioning

confidence: 99%

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

et al. 2023

View full text Add to dashboard Cite

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.

show abstract

Section: • Alo Techniquementioning

confidence: 99%

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

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The existing literature works for mitigating congestion management in several areas have been described in the subsequent section. Moazzami et al (2019) developed an optimal placement of thyristor controller series capacitor for congestion management under deregulated conditions. This approach used the ant lion optimization (ALO) algorithm to determine optimal location.…”

Section: Review Of Related Workmentioning

confidence: 99%

“…This section provides the comparative results for various approaches based on congestion management to determine the applicability, efficiency and performances of the proposed AMSO approach. The following analysis describes the comparative analysis for the proposed approach with various other congestion management-based approaches, namely, MOGA (Nguyen and Mohammadi, 2020), PSO (Nireekshana et al, 2020) algorithm, DE algorithm and ALO (Moazzami et al, 2019) algorithm (Figure 9). Adaptive moth swarm optimization Figure 10 portrays the graphical analysis for three different scenarios, namely, the absence of TCSC, installation of single TCSC and installation of dual TCSC.…”

Section: Comparative Analysismentioning

confidence: 99%

See 1 more Smart Citation

Congestion management in deregulated power system using adaptive moth swarm optimization

Ramaporselvi¹,

Geetha²

2021

COMPEL

View full text Add to dashboard Cite

Purpose The purpose of this paper is to enhance the line congestion and to minimize power loss. Transmission line congestion is considered the most acute trouble during the operation of the power system. Therefore, congestion management acts as an effective tool in using the available power without breaking the system hindrances or limitations. Design/methodology/approach Over the past few years, determining the optimal location and size of the devices have pinched a great deal of consideration. Numerous approaches have been established to mitigate the congestion rate, and this paper aims to enhance the line congestion and minimize power loss by determining the compensation rate and optimal location of a thyristor-switched capacitor (TCSC) using adaptive moth swarm optimization (AMSO) algorithm. Findings An AMSO algorithm uses the performances of moth flame and the chaotic local search-based shrinking scheme of the bacterial foraging optimization algorithm. The proposed AMSO approach is executed and discussed for the IEEE-30 bus system for determining the optimal location of single TCSC and dual TCSC. Originality/value In addition to this, the proposed algorithm is compared with various other existing approaches, and the results thus obtained provide better performances than other techniques.

show abstract

“…This study has been executed on IEEE 30-bus to achieve different objectives which are the minimization of the fuel cost, loss reduction, voltage profile, improvement and voltage stability enhancement. Similarly, the authors in [112] have been investigated the same methodology by selecting the best setting and appropriate location of TCSC for achieving the maximum system loadability as well as reduction of both losses and production costs. In this work, the effectiveness and ability of this ALO technique was performed on IEEE 14-bus test network while complying with all market-imposed restrictions on equality and inequality.…”

mentioning

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

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.

show abstract

Optimal TCSC placement for congestion management in deregulated power systems using antlion optimization algorithm

Cited by 3 publications

References 28 publications

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

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

Congestion management in deregulated power system using adaptive moth swarm optimization

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

Contact Info

Product

Resources

About