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FACULTY OF ELECTRICAL &
ELECTRONICS ENGINEERING

Abstract:

Optimal Reactive Power Dispatch (ORPD) is needed for reduces the power system losses and improves voltage profile, power system security and overall power system operation. In this paper, the ORPD problem solved using Constrained Reactive Power Control (CRPC) based Multi-Objective Evolutionary Programming (MOEP) optimization technique considering multi-contingencies (N-m). The proposed technique determines the optimum reactive power to be dispatched by the generators in order to improve voltage stability condition of a system. A computer program was written in MATLAB and the proposed technique was tested on the IEEE 30-bus RTS. Hence, the result was compared with Multi-Objective Artificial Immune System (MOAIS) to highlight it merits.

Abstract:

Hand jitter is a natural tremor that has become a concern in many areas such as microsurgery, collaborative environment and tele-tutoring as it can cause imprecision, inaccuracy and misleading pointer information. Over the recent years, many researches have been done to reduce hand jitter but they are either too complex or too time consuming. Hence, to overcome the limitations, Double Exponential Smoothing (DES) has been used as an alternative, which is a simple and fast prediction algorithm. However, estimating the parameter values of DES is a difficult process that requires juggling between several criteria. In this paper, an optimal parameter estimation technique of DES using Genetic Algorithm was developed to find the optimal parameter values. Thorough comparisons have been made with previous methods to prove the magnitude of improvement. Our study found that the proposed method is able to reduce the hand jitter by 52% compared to the benchmarked methods. Hence, DES is suitable to be implemented in many applications that require precise and accurate hand-based pointing system. 

Abstract:

Usage of statistical tools is important in reporting valid and unbiased findings of a research. Therefore, this paper aims to discuss the statistical tools commonly used among researchers in the swarm intelligence field. Among the tools discuss is the boxplot. Boxplot is a common data representation method chosen in the field. Nonparametric statistical test for pairwise comparison, namely, Wilcoxon signed rank test, and a test for multiple comparison, namely, Friedman test are also reviewed.

Abstract:

Particle swarm optimisation (PSO) is a population-based stochastic optimisation algorithm. Traditionally the particles update sequence for PSO can be categorized into two groups, synchronous (S-PSO) or asynchronous (A-PSO) update. In S-PSO, the particles’ performances are evaluated before their velocity and position are updated, while in A-PSO, each particle’s velocity and position is updated immediately after individual performance is evaluated. Recently, a random asynchronous PSO (RA-PSO) has been proposed. In RA-PSO, particles are randomly chosen to be updated asynchronously, the randomness improves swarm’s exploration. RA-PSO belongs to the asynchronous group. In this paper, a new category; hybrid update sequence is proposed. The new update sequence exploits the advantages of synchronous, asynchronous, and random update methods. The proposed sequence is termed as, random synchronous-asynchronous PSO (RSA-PSO). RSA-PSO divides the particles into groups. The groups are subjected to random asynchronous update, while the particles within a chosen group are updated synchronously. The performance of RSA-PSO is compared with the existing S-PSO, A-PSO, and RA-PSO using CEC2014’s benchmark functions. The results show that RSA-PSO has a superior performance compared to both A-PSO and RA-PSO, and as good as S-PSO.

Abstract:

In a normal electrical network, it is crucial to design a system complete with protection to prevent any abnormalities or fault occurrence to disturb the whole source of electrical to be shut down. Only a portion of effected area should be closed and fault duration at high current value should be closely monitored. Overcurrent protection device discrimination play vital roles to ensure protective relay will react accordingly. This paper introduces a systematic overcurrent discrimination algorithm which is based on standard formulation and constant value by IEC 60255-4 and IEEE Std C37.112-1996. The proposed algorithm has been tested to an 11kV industrial power system. Two bus data have been tested and the tests result of the network was studied, analyzed and discussed. The algorithm has proven successfully fulfilled the discrimination requirement.