scispace - formally typeset
Open AccessJournal ArticleDOI

Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem

Priyanka Shankya, +2 more
- 17 Sep 2019 - 
- Vol. 178, Iss: 49, pp 8-10
TLDR
The proposed artificial bee colony algorithm can deal with different objectives of the problem such as minimizing the real power losses, improving the voltage profile, and enhancing the voltage stability and properly handle various constraints for reactive power limits of generators and switchable capacitor banks, bus voltage limits, tap changer limits for transformers, and transmission line limits.
Abstract
This paper proposes an artificial bee colony (ABC) algorithm for solving optimal reactive power flow problem. The proposed ABC can deal with different objectives of the problem such as minimizing the real power losses, improving the voltage profile, and enhancing the voltage stability and properly handle various constraints for reactive power limits of generators and switchable capacitor banks, bus voltage limits, tap changer limits for transformers, and transmission line limits. The proposed approach has been observed and tested on different IEEE bus test system. The performance of ABC to be better in terms of solution superiority and computational time.

read more

Citations
More filters
Journal ArticleDOI

Optimal Capacitor Location and Sizing for Reducing the Power Loss on the Power Distribution Systems due to the Dynamic Load of the Electric Buses Charging System using the Artificial Bee Colony Algorithm

TL;DR: This article focuses on optimal capacitor location and sizing for reducing the power loss on the power distribution systems due to the dynamic load of the electric bus system using the artificial bee colony algorithm.
Proceedings ArticleDOI

Optimal Power Flow Based on Flower Pollination Algorithm

TL;DR: The simulation results show that the proposed FPA method provides accurate solutions for objective functions, and the method proved that the effectiveness and robustness of the results were satisfactory.
Proceedings ArticleDOI

Artificial bee colony technique for a study of the influence of impact of metal thickness on the factor of quality-Q in integrated square spiral inductors

TL;DR: The goal of this present paper is to investigate the impact of metal thickness on the factor of quality-Q in integrated square spiral inductor, using an efficient application of the Artificial Bee Colony (ABC) algorithm.
Journal Article

Optimizing Gabor Filter and Local Binary Patterns for multi-texture classification

TL;DR: The results from the proposed approach show an improvement in the classification accuracy and processing time of k-folded crossvalidation Neural Network classifier over the method of LBP with single filter and a reducedprocessing time of the classifier.
References
More filters
Journal ArticleDOI

Particle swarm optimization to solving the economic dispatch considering the generator constraints

TL;DR: In this paper, a particle swarm optimization (PSO) method for solving the economic dispatch (ED) problem in power systems is proposed, and the experimental results show that the proposed PSO method was indeed capable of obtaining higher quality solutions efficiently in ED problems.
Journal ArticleDOI

A United Approach to Optimal Real and Reactive Power Dispatch

TL;DR: In this article, a unified method for optimal real and reactive power dispatch for the economic operation of power systems is presented, where the problem is decomposed into a P-optimization module and a Q-optimisation module, but in this method both modules use the same generation cost-objective function.
Journal ArticleDOI

Reactive power optimization by genetic algorithm

TL;DR: The proposed method was applied to practical 51-bus and 224-bus systems to show its feasibility and capabilities and the concept is quite promising and useful in the coming computer age.
Journal ArticleDOI

A direct nonlinear predictor-corrector primal-dual interior point algorithm for optimal power flows

TL;DR: In this paper, a new algorithm using the primal-dual interior point method with the predictor-corrector for solving nonlinear optimal power flow (OPF) problems is presented.

Optimal Power Flow Using Particle Swarm Optimization

TL;DR: This approach is applied to a six bus three unit system and the results are compared with results of Linear Programming method for different test cases and the obtained solution proves that the proposed technique is efficient and accurate.
Related Papers (5)