Optimal reactive power dispatch under unbalanced conditions using hybrid swarm intelligence

Shareef, Sk. Mahammad; Rao, R. Srinivasa

doi:10.1016/j.compeleceng.2018.05.011

Cited by 57 publications

(28 citation statements)

References 25 publications

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“…Related to SI, today is straightforward to find hybridization of SI meta-heuristic schemes with separated local improvement and individual learning mechanisms in the literature. Some examples of this research trend can be found in [34][35][36][37][38].…”

Section: Brief History Of Swarm Intelligencementioning

confidence: 96%

Introductory Chapter: Swarm Intelligence - Recent Advances, New Perspectives, and Applications

Osaba¹,

Villar²,

Ser³

2019

Swarm Intelligence - Recent Advances, New Perspectives and Applications

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Section: Brief History Of Swarm Intelligencementioning

confidence: 96%

Introductory Chapter: Swarm Intelligence - Recent Advances, New Perspectives, and Applications

Osaba¹,

Villar²,

Ser³

2019

Swarm Intelligence - Recent Advances, New Perspectives and Applications

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“…For instance, the PSO hybridized with DE, fuzzy logic, Pareto optimal set and GSA are the recently developed competitive hybrid strategies with ability to evade local trapping and premature convergence [17][18][19][20]. While, the new variant of PSO and other hybrid solution mechanisms by relating these concepts are studied in [21][22][23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Design of Fractional Particle Swarm Optimization Gravitational Search Algorithm for Optimal Reactive Power Dispatch Problems

et al. 2020

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In fact, optimal RPD is one of the most critical optimization matters related to electrical power stability and operation. The minimization of overall real power losses is obtained by adjusting the power systems control variables, for instance; generator voltage, compensated reactive power and tap changing of the transformer. In this search, a new heuristic computing method named as fractional particle swarm optimization gravitational search algorithm (FPSOGSA) is presented by introducing fractional derivative of velocity term in standard optimization mechanism. The designed FPSOGSA is implemented for the optimal RPD problems with IEEE-30 and IEEE-57 standards by attaining the near finest outcome sets of control variables along with minimization of two fitness objectives; active power transmission line losses (Ploss, MW) and voltage deviation (VD). The superior performance of the proposed FPSOGSA is verified for both single and multiple runs through comparative study with state of art counterparts for each scenario of optimal RPD problems.

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“…In addition, the distributed generation designing in RDS must contemplate various factors comprise positioning and sizing, amount of distributed generations, as well as exploited application. Amid the aforesaid factors, in distributed generation planning the one of the most important factor are the optimal positioning and sizing of distributed generations [16] [21]. This is not merely an issue but as well as a chance for researchers to discover techniques in order to deal with this issue [22].…”

Section: Introductionmentioning

confidence: 99%

Optimal Positioning of Distributed Generator using Hybrid Optimization algorithm in Radial Distribution System

Ravikumar¹,

Vennila²,

Deepak³

2019

JCMPS

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In distribution systems, the distributed generator is renowned as a feasible solution in order to control the line losses, voltage stability, and bus voltage, etc. This paper concentrates on an advanced technique in order to position the distributed generator. It is exploited for minimization of the energy loss and active power loss for the distribution lines when concerning the voltage stability index and bus voltage. Based on the optimal positioning and sizing of the DGs, the optimization is performed. Here, a hybrid ABC and Bat Algorithm (HABC-BA) is presented to solve the optimal distributed generators allocation issue of distribution networks. The proposed HABC-BA method experimented on standard 33-bus, 69bus in radial distribution networks to examine the possibility and efficiency. Hence, the experimental analysis shows that placement of distributed generators in the optimal position can extensively minimize the power loss in a DS Finally, the proposed method is compared with other meta-heuristic approaches such as GWO, WOA and PSO and the analysis exhibit that the proposed technique has the capability to find enhanced quality solutions.

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Optimal reactive power dispatch under unbalanced conditions using hybrid swarm intelligence

Cited by 57 publications

References 25 publications

Introductory Chapter: Swarm Intelligence - Recent Advances, New Perspectives, and Applications

Introductory Chapter: Swarm Intelligence - Recent Advances, New Perspectives, and Applications

Design of Fractional Particle Swarm Optimization Gravitational Search Algorithm for Optimal Reactive Power Dispatch Problems

Optimal Positioning of Distributed Generator using Hybrid Optimization algorithm in Radial Distribution System

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