283  Abstract— Reactive power flow in a power system is optimized by real power loss minimization and it is essential for secured operation of power systems with regard to voltage stability and it also improves the economics of power system operation. Generator bus voltage magnitude, transformer tap settings and SVC controllers are the control variables for reactive power flow optimization. In...

Electricity demand is forecasted to double in 2035, and it is vital to address the economicsof electrical energy generation for planning purposes. This study aims to examine the applicability ofGravitational Search Algorithm (GSA) and the newly improved GSA (IGSA) for optimization of themixed-integer non-linear electricity generation expansion planning (GEP) problem. The performanceindex of GEP...

The digital filters play an important role in the field of science and technology. Due to phase linearity and stability digital FIR filters are used in number of applications. The various design technology are developed for the designing of the digital filters using evolutionary techniques like particle swarm optimization(PSO), genetic algorithm(GA), differential evolution(DE) etc. and the modi...

In this paper, a hybrid gravitational search algorithm (GSA) and pattern search (PS) technique is proposed for load frequency control (LFC) of multi-area power system. Initially, various conventional error criterions are considered, the PI controller parameters for a two-area power system are optimized employing GSA and the effect of objective function on system performance is analyzed. Then GS...

Fuzzy logic controllers (FLCs) are widely used to control complex systems with model uncertainty, such as alternating current motors. The design process of the FLC is generally based on designer’s adjustments controller until desired performance achieved. However, doing in this way makes quite difficult and time-consuming, so it often impossible make a suitable successful design. In study, outp...

In this paper, a Problem of simultaneous and coordinated tuning of the PID type Power System Stabilizer (PSS) and Automatic Voltage Regulators (AVR) gains in a Single-Machine connected to InfiniteBus (SMIB) power system is invastigated. The problem of robustly stabilizer parameters and AVR gain tunning is formulated as a nonlinear optimization problem according to the time domain-based objectiv...

The purpose of this paper is to propose a GSA-tuning IPD control technique for magnetic suspension systems. An educational demonstration on a magnetic-field sensed magnetic suspension system is examined for effectiveness. For the magnetic-field sensed magnetic suspension system (FSMSS), the current transducer is employed for measuring the electromagnetic coil current, and a Hall effect device i...

This paper presents an effective optimization method for nonlinear constrained optimization of retaining structures. A newly developed heuristic global optimization algorithm called gravitational search algorithm (GSA) is introduced and applied for the optimization of retaining structures. The optimization procedure controls all geotechnical and structural design constraints while reducing the ...

In this paper, an automatic classifier has been developed using Feed Forward Neural Network (FFNN) to classify the ECG signals between different heartbeats. Here, the classifier is trained independently bymorphological, heartbeat interval features and temporal features using Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The trained classifier then classifies the be...