Stochastic voltage stability margin in unbalance feeder with fuzzy based distributed generation placement

Jagdish Prasad Sharma, H. Ravishankar Kamath

Research output: Contribution to journalArticle

Abstract

In this paper, the impact of distributed generation (DG) integration on worst stochastic voltage stability margin is investigated for a modified IEEE 37 node test system. This unbalance test system has voltage sensitive load model for industrial, commercial and residential consumers and load flow computed in MATLAB environment with 15 minutes metering time interval for a whole day. DG integration is based on fuzzy expert system and integrated between 35 to 73 period of metering time interval. The stochastic voltage stability margin for all phase are evaluated under three different DG operational scenarios and compared with results obtained in the base case. The cause and consequence of unbalance phenomena is also broadly discussed in detail.

Original languageEnglish
Pages (from-to)53-57
Number of pages5
JournalInternational Journal of Engineering and Technology(UAE)
Volume7
Issue number2
DOIs
Publication statusPublished - 01-01-2018
Externally publishedYes

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Distributed power generation
Voltage control
Expert Systems
Expert systems
MATLAB
Electric potential

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Computer Science (miscellaneous)
  • Environmental Engineering
  • Chemical Engineering(all)
  • Engineering(all)
  • Hardware and Architecture

Cite this

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Stochastic voltage stability margin in unbalance feeder with fuzzy based distributed generation placement. / Sharma, Jagdish Prasad; Kamath, H. Ravishankar.

In: International Journal of Engineering and Technology(UAE), Vol. 7, No. 2, 01.01.2018, p. 53-57.

Research output: Contribution to journalArticle

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