Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Vol 5 No 1: Februari 2016

Optimisasi PID pada Sistem Mesin Tunggal Terpasang STATCOM dengan Algoritme Flower Pollination

Avrin Nur Widiastuti (Universitas Gadjah Mada)
Suseto Mahardiko (Universitas Gadjah Mada)
Sasongko Pramono Hadi (Universitas Gadjah Mada)



Article Info

Publish Date
04 Mar 2016

Abstract

Indonesia as a big country is facing electricity demand increase as the economy is intensively growing. Along with the economy growth, the electricity demand is also increasing. This should be balanced with the growth of power plants installed, but power plants can not be built in a short time. This growth may affect the stability. Stability is one of main problems of power system. Power system can be represented by simplifying it into Single Machine Infinite Bus (SMIB). Flexible AC Transmission System (FACTS) is one of the solutions to enlarge the capacity by compensating the reactive load. By installing the FACTS, the dynamic characteristic of power system also changes. The result shows that system has better dynamic response with FACTS than without FACTS. A proper control is subsequently needed for tackling those phenomenons, e.g. using PID-POD controller. In this type of controller, the PID constant is needed to be determined. Flower Pollination Algorithm (FPA) is then employed for solving such problem. As the newest metaheuristic method, FPA has shown better characteristic than other methods. The results show that FPA can be used as a method to find the optimal PID controller constant in a simple power sytem, such as SMIB.

Copyrights © 2016






Journal Info

Abbrev

JNTETI

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Description

Topics cover the fields of (but not limited to): 1. Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Artificial Intelligence, Computer Graphics, Virtual Reality 2. Power Systems: Power Generation, ...