Effective optimization technique for power system stabilization using Artificial Bee Colony

Abstract

The power system stabilizer can suppress the electromechanical oscillation and enhance the power system stability with the aid of its additional excitation control. The need for power system stabilizations has been increasing day by day. The demand for electric power requirement has motivated the usage of power system in an effective and reliable way. The stability of the power system is the ability to extend restoring forces equal to or greater than the disturbing forces to sustain the state of equilibrium. Power industries are restructured to provide effective utilization to more users at lower prices and better power efficiency. The complexity of the Power systems has been increasing as they become inter-connected. Load demand also increases linearly with the increase in users. Since stability phenomena limits the transfer capability of the system, there is a need to ensure stability and reliability of the power system due to economic reasons. With these conditions, experts and researchers were continually tasked to find simple, effective and economical strategy of attaining stabilization of the power system, which is considered of highest priority. Thus, because of the importance of the stability of the power systems, stabilizing control techniques have been used for the multi-machine power system with the help of intelligent methods. The optimal sequential design for multi-machine power systems is very essential. As a result, serious consideration is now being given on the concern of power system stabilization control. In recent times, the utilization of optimization techniques becomes possible to deal with control signals in power system. This paper uses the Artificial Bee Colony algorithm for better stability of the power system. Simulation results suggest that the proposed technique is better for power system stabilization when compared to the conventional techniques.

An Adaptive Power System Stabilizer Based on Focused Time Delay Neural Network

“…Swarm intelligence technique like particle swarm optimization (PSO) is also used to design PSS in order to damp out the unwanted oscillations. Artificial bee colony (ABC), another intelligent technique is also used to design optimal PSS to enhance power system stabil-ity by suppressing the electromechanical oscillations as reported in Ravi and Duraiswamy (2012) and Eslami et al(2013). Some hybrid techniques are also used in designing optimal PSS.…”

Active power loss minimization in electric power systems through chaotic artificial bee colony algorithm

“…In the last step, one of the employed bees is nominated randomly as a scout bee and it is sent to the sources to find new sources [30]. Half of the bees in the colony are appointed as employed and the rest half as onlooker bees in the algorithm [43]. Therefore, number of employed bees is equal to the number of nectar sources [24÷27].…”

“…The use of chaotic sequences in ABC can be helpful to escape more easily from local minima than can be done through the classical ABC. [43] Chaos can be applied to CABC in various ways. In this study, the chaotic maps such as logistic map and Henon map are used against the random number generator.…”

Modeling, simulation, and optimal design of power system stabilizers using ABC algorithm

“…AI is a research field that defines connections between cognitive science and computational theories. The connections are indicated as data structures, problem solving techniques, search methods, and so on [9]. Social insects normally work without supervision.…”