Simultaneous Reconfiguration, Optimal Placement of DSTATCOM, and Photovoltaic Array in a Distribution System Based on Fuzzy-ACO Approach

Tolabi, Hajar Bagheri; Ali, Mohd. Hasan; Rizwan, Mohammad

doi:10.1109/tste.2014.2364230

Cited by 221 publications

(84 citation statements)

References 12 publications

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“…Tolabi et al [17] investigated the enhancement of three different objective functions: minimizing power losses and improving load-balancing and voltage profile. As a multiobjective problem, a Fuzzy-ACO algorithm was presented and compared with Fuzzy-PSO and Fuzzy-GA.…”

Section: Particle Swarm Optimization (Pso)mentioning

confidence: 99%

“…The decision to choose a path depends on the amount of pheromones located on it and the evaporation rate [17].…”

Section: Ant Colony Optimization (Aco)mentioning

confidence: 99%

“…A Fuzzy-ACO algorithm is proposed in [17], where the principles of fuzzy logic are applied to make the Ant Colony algorithm more efficient. The algorithm is used in multiobjective problems such as loss reduction, voltage profile improvement, and load-balancing index reduction in a distribution system.…”

Section: Ant Colony Optimization (Aco)mentioning

confidence: 99%

See 2 more Smart Citations

Recent Trends of the Most Used Metaheuristic Techniques for Distribution Network Reconfiguration

Quintero-Duran

Candelo-Becerra

Sousa

2017

JESTR

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Distribution network reconfiguration (DNR) continues to be a good option to reduce technical losses in a distribution power grid. However, this non-linear combinatorial problem is not easy to assess by exact methods when solving for large distribution networks, which requires large computational times. For solving this type of problem, some researchers prefer to use metaheuristic techniques due to convergence speed, near-optimal solutions, and simple programming. Some literature reviews specialize in topics concerning the optimization of power network reconfiguration and try to cover most techniques. Nevertheless, this does not allow detailing properly the use of each technique, which is important to identify the trend. The contributions of this paper are three-fold. First, it presents the objective functions and constraints used in DNR with the most used metaheuristics. Second, it reviews the most important techniques such as particle swarm optimization (PSO), genetic algorithm (GA), simulated annealing (SA), ant colony optimization (ACO), immune algorithms (IA), and tabu search (TS). Finally, this paper presents the trend of each technique from 2011 to 2016. This paper will be useful for researchers interested in knowing the advances of recent approaches in these metaheuristics applied to DNR in order to continue developing new best algorithms and improving solutions for the topic.

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Section: Particle Swarm Optimization (Pso)mentioning

confidence: 99%

“…The decision to choose a path depends on the amount of pheromones located on it and the evaporation rate [17].…”

Section: Ant Colony Optimization (Aco)mentioning

confidence: 99%

See 1 more Smart Citation

Recent Trends of the Most Used Metaheuristic Techniques for Distribution Network Reconfiguration

Quintero-Duran

Candelo-Becerra

Sousa

2017

JESTR

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show abstract

“…Integration of new LCTs and application of 'smart' solutions in distribution networks has been more widely investigated [35][36][37][38][39][40][41][42]. One of the most important aspects is the integration of distributed generation (DG) [3][4][5]11].…”

mentioning

confidence: 99%

“…The approaches make use of deterministic optimization models [35,37,40], or probabilistic methods including different uncertainties [36,37,39]. On the other hand, topology configuration and reconfiguration is one of the most important control actions on distribution networks [38,40,[42][43][44][45][46][47][48][49]. The objective of the former is to minimize losses and/or the cost of reliability during system normal operation [43,44,46,50].…”

mentioning

confidence: 99%

Cable Replacement Considering Optimal Wind Integration and Network Reconfiguration

Buhari

Leví

Kapetanaki

2018

IEEE Trans. Smart Grid

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Fuzzy logic–based rooted tree optimization algorithm for strategic incorporation of DG and DSTATCOM

Sannigrahi

Ghatak

Acharjee

2019

Int Trans Electr Energ Syst

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Summary In this study, a hybrid approach based on fuzzy logic and rooted tree optimization (RTO) algorithm is proposed for the strategic incorporation of distributed generation (DG) and distributed static compensator (DSTATCOM) in radial distribution system (RDS) to improve voltage profile, reduce losses, and maximize economic and environmental benefits. Fuzzy logic is applied to bring the objectives in the same range, and using RTO technique, the optimal site and size of the devices are determined. Considering the uncertainty in DG's output and time‐varying system load, the proposed technique is tested on 69‐bus and 118‐bus RDSs, and to check the accuracy and feasibility, the simulation results are compared with other existing techniques. The Wilcoxon signed rank test (WSRT) is applied to confirm the superiority of the proposed algorithm. Furthermore, comparative performance analysis is conducted between different planning schemes for facilitating the distribution system planner to select the most suitable one.

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Simultaneous Reconfiguration, Optimal Placement of DSTATCOM, and Photovoltaic Array in a Distribution System Based on Fuzzy-ACO Approach

Cited by 221 publications

References 12 publications

Recent Trends of the Most Used Metaheuristic Techniques for Distribution Network Reconfiguration

Recent Trends of the Most Used Metaheuristic Techniques for Distribution Network Reconfiguration

Cable Replacement Considering Optimal Wind Integration and Network Reconfiguration

Fuzzy logic–based rooted tree optimization algorithm for strategic incorporation of DG and DSTATCOM

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