Enabling PID and SSSC for load frequency control using Particle Swarm Optimization

Dwi Lastomo Widodo, Herlambang Setiadi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)

Abstract

Rapid human population has led to increasing number of load demand. This load demand increased could potentially lead to instability of power system such as frequency stability. It is well known that governor has a significant role in controlling frequency on the generator. Generally, the governor usually used simple integral controller as the controller. However, with increasing number of load and rapid load changing, integral control only is not enough to handle the problems. Hence, deployment additional devices such as flexible alternating current transmission systems (FACTS) devices and changing the governor controller to PID controller is crucial. This paper proposed an enhancement of load frequency control using PID controller and Static Synchronous Series Compensator (SSSC). A Particle Swarm Optimization (PSO) is used as an optimization method to find the best parameter. Two area power system are used as a test system to analyze the performance of system with proposed method (PID and SSSC based on PSO). To examine the performance of the system with or without proposed method. From the simulation, it is found by using PID and SSSC based on PSO the frequency performance of the system is enhanced.

Original languageEnglish
Title of host publicationProceeding - 2017 3rd International Conference on Science in Information Technology
Subtitle of host publicationTheory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017
EditorsLala Septem Riza, Andri Pranolo, Aji Prasetyo Wibawa, Enjun Junaeti, Yaya Wihardi, Ummi Raba'ah Hashim, Shi-Jinn Horng, Rafal Drezewski, Heui Seok Lim, Goutam Chakraborty, Leonel Hernandez, Shah Nazir
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages182-187
Number of pages6
ISBN (Electronic)9781509058662
DOIs
Publication statusPublished - 1 Jul 2017
Externally publishedYes
Event3rd International Conference on Science in Information Technology, ICSITech 2017 - Bandung, Indonesia
Duration: 25 Oct 201726 Oct 2017

Publication series

NameProceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017
Volume2018-January

Conference

Conference3rd International Conference on Science in Information Technology, ICSITech 2017
Country/TerritoryIndonesia
CityBandung
Period25/10/1726/10/17

Keywords

  • FACTS Devices
  • LFC
  • PSO
  • SSSC

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