Distribution Network Optimization with Scattered Generator Integration Using Immune-Clonal Selection Method

Ramadoni Syahputra,Indah Soesanti

doi:10.28991/esj-2021-01312

Abstract

This paper proposes distribution network optimization with scattered generator integration using the immune-clonal selection (ICS) method. Nowadays, the high popularity of scattered generators (SG) has made distribution networks essential to manage appropriately. This interest is because SG is usually injected into the distribution network due to the ease of accessing the network and the voltage level of the distribution network, which is easier for SG to reach. However, the presence of SG as a distribution network is increasingly dynamic, so that appropriate techniques are needed to achieve adequate network performance through network optimization. The ICS method is expected to be the right solution for this task. The ICS technique was chosen for its excellence in accurately optimizing for multi-objectives while avoiding premature convergence to local minima. The ICS approach was applied to IEEE model distribution networks of 33-bus and 71-bus. The optimization results show that the effectiveness and superiority of the ICS method, which is indicated by shallow power losses with a better voltage profile, and the load balance on each feeder is maintained. Doi: 10.28991/esj-2021-01312 Full Text: PDF

Highlights

Scattered generators (SG) are characterized as small-scale electric power generators
The results indicated that the ideal configuration could enhance the power distribution system's quality, as seen by the increasing amplitude of the lowest voltage on bus 25, which is 0.979 to 0.983 p.u
Using the immune-clonal selection (ICS) algorithm, the research offered a methodology for multi-objective configuration optimization of the radial distribution network with scattered generators (SG) installation

Summary

Introduction

Scattered generators (SG) are characterized as small-scale electric power generators. The application of renewable energy is becoming increasingly popular because the supply of fossil fuels is becoming increasingly scarce, and environmental problems are becoming more severe [10]. In this regard, the Indonesian government is strongly dedicated to stimulating the construction of renewable energy power plants, by setting a target of renewable energy contributing 23% of the country's electricity supply by 2025 [11]. Scattered renewable energy generators connected into the interconnection network play a critical role in assisting the government program [12,13,14]

Objectives

Results

Conclusion