Author/Authors :
Abdul Rahim, Siti Rafidah Faculty of Electrical Engineering Technology - Universiti Malaysia Perlis - Perlis, Malaysia , Chuan Liang, Yeap Faculty of Electrical Engineering Technology - Universiti Malaysia Perlis - Perlis, Malaysia , Hatta Hussain, Muhamad Faculty of Electrical Engineering Technology - Universiti Malaysia Perlis - Perlis, Malaysia , Musirin, Ismail School of Electrical Engineering - College of Engineering - Universiti Teknologi MARA - Shah Alam - Selangor, Malaysia , Ashikin Azmi, Syahrul Faculty of Electrical Engineering Technology - Universiti Malaysia Perlis - Perlis, Malaysia , Azmi, Azralmukmin Faculty of Electrical Engineering Technology - Universiti Malaysia Perlis - Perlis, Malaysia
Abstract :
This paper discusses the incorporation of the Hybrid Swarm Evolutionary Programming (SEP) for
optimal distributed generation (DG) in the distribution system. High load demand will result in
unstable control power distribution due to power transmission loss. The compensation process can
be implemented by installing a compensation device to prevent this from happening. It is required
the optimal sizing and location for the devices to achieve the objective and this can be done by using
an optimization technique. Thus, this project aims to develop a hybrid computational intelligence
technique is called hybrid SEP for loss minimization. The proposed method embedded the element
of Particle Swarm Optimization (PSO) into traditional Evolutionary Programming (EP) to improve
precision of traditional EP algorithm. The purpose of this study is to investigate the maximum
benets of DG integration to be gained. The proposed techniques are validated on IEEE-69 bus
radial system with multiple units of DG. The results showed that the most effective type of DG
inject to IEEE-69 bus radial system is with DG Type III, with 95% of active power loss reduction
and the best on voltage prole improvement. Hybrid SEP shows superior to EP in term of loss
minimization.
