Minimization of Active Power Loss Using Enhanced Particle Swarm Optimization

Samson Ademola Adegoke, Yanxia Sun, Zenghui Wang

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

Abstract

Weak bus identification in power system networks is crucial for planning and operation since most generators operate close to their operating limits, resulting in generator failures. This work aims to identify the critical/weak node and reduce the system’s actual power losses. The line stability index (Lmn ) and fast voltage stability index (FVSI) were used to identify the critical node and lines close to instability in the power system networks. The enhanced particle swarm optimization (EPSO) was chosen because of its ability to communicate with better individuals, making it more efficient to obtain a prominent solution. EPSO and other PSO variants were used to minimize the system’s actual/real losses. Nodes 8 and 14 were identified as the critical nodes of the IEEE 9 and 14 bus systems, respectively. The power losses of the IEEE 9 bus system were reduced from 9.842 MW to 7.543 MW, and for the 14 bus system, the losses were reduced from 13.775 MW of the base case to 12.253 MW for EPSO. The EPSO gives a better active power loss reduction and improves the node voltage profile than other PSO variants and algorithms in the literature. This suggests the feasibility and suitability of the EPSO to improve the grid voltage quality.

Original languageEnglish
Title of host publicationInternational Conference on Neural Computing for Advanced Applications - 4th International Conference, NCAA 2023, Proceedings
EditorsHaijun Zhang, Yinggen Ke, Yuanyuan Mu, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng
PublisherSpringer Science and Business Media Deutschland GmbH
Pages315-333
Number of pages19
ISBN (Print)9789819958436
DOIs
Publication statusPublished - 2023
EventProceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023 - Hefei, China
Duration: 7 Jul 20239 Jul 2023

Publication series

NameCommunications in Computer and Information Science
Volume1869 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

ConferenceProceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023
Country/TerritoryChina
CityHefei
Period7/07/239/07/23

Keywords

  • Diminish power loss
  • EPSO
  • FVSI and L
  • Identification of weak bus
  • PSO variants
  • Voltage stability

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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