Simultaneous parameter optimization for coordinated control of BESS and DIPSS using clonal selection

Herlambanz Setiadi, Nadaraiah Mithulananthan, Rakibuzzaman Shah

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

2 Citations (Scopus)

Abstract

This paper proposed a method for simultaneous parameter optimization for coordinated control of battery energy storage (BESS) and dual input power system stabilizer (DIPSS). An artificial immune system (AIS) clonal selection algorithm has been employed for parameter optimization. The two-area power system is used as a test system to assess the coordinated control along with the optimized parameters. Eigenvalue analysis and time domain simulations are used to investigate the dynamic performance of the system with proposed coordinated control algorithm. From the simulation results, it is found that by designing BESS and DIPSS parameter coordinately using AIS clonal selection algorithm the oscillatory stability performance of the power system can be enhanced with high penetration of REG.

Original languageEnglish
Title of host publicationIEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2018
PublisherIEEE Computer Society
Pages13-18
Number of pages6
ISBN (Electronic)9781538656860
DOIs
Publication statusPublished - 6 Dec 2018
Externally publishedYes
Event10th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2018 - Kota Kinabalu, Malaysia
Duration: 7 Oct 201810 Oct 2018

Publication series

NameAsia-Pacific Power and Energy Engineering Conference, APPEEC
Volume2018-October
ISSN (Print)2157-4839
ISSN (Electronic)2157-4847

Conference

Conference10th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2018
Country/TerritoryMalaysia
CityKota Kinabalu
Period7/10/1810/10/18

Keywords

  • AIS clonal selection algorithm
  • BESS
  • DIPSS
  • damping ratio
  • eigenvalue
  • time domain simulation

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