Optimization Placement Static Var Compensator (SVC) Using Artificial Bee Colony (ABC) Method On PT PLN (Persero) Jawa-Bali, Indonesia

Alimuddin, Alimuddin; Nurhalim, Gupron; Arafiyah, Ria

doi:10.1109/cais.2018.8442011

Cited by 2 publications

(1 citation statement)

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“…Also, the genetic algorithm (GA) was used to determine the optimal size of the compensators. In [8], optimal Static Var Compensator (SVC) placement was done by the ABC algorithm. The objective function was the reduction of ohmic losses and the improvement of the power quality.…”

Section: Introductionmentioning

confidence: 99%

Optimal Management of Reactive Power Considering Voltage and Location of Control Devices Using Artificial Bee Algorithm

et al. 2021

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Reactive power compensation is one of the practical tools that can be used to improve power systems and reduce costs. These benefits are achieved when the compensators are installed in a suitable place with optimal capacity. This study solves the issues of optimal supply and the purchase of reactive power in the IEEE 30-bus power system, especially when considering voltage stability and reducing total generation and operational costs, including generation costs, reserves, and the installation of reactive power control devices. The modified version of the artificial bee colony (MABC) algorithm is proposed to solve optimization problems and its results are compared with the artificial bee colony (ABC) algorithm, the particle swarm optimization (PSO) algorithm and the genetic algorithm (GA). The simulation results showed that the minimum losses in the power system requires further costs for reactive power compensation. Also, optimization results proved that the proposed MABC algorithm has a lower active power loss, reactive power costs, a better voltage profile and greater stability than the other three algorithms.

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Section: Introductionmentioning

confidence: 99%