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

Jagdish Prasad Sharma; H. Ravishankar Kamath

doi:10.14419/ijet.v7i2.21.11835

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

Jagdish Prasad Sharma, H. Ravishankar Kamath

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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 language	English
Pages (from-to)	53-57
Number of pages	5
Journal	International Journal of Engineering and Technology(UAE)
Volume	7
Issue number	2
DOIs	https://doi.org/10.14419/ijet.v7i2.21.11835
Publication status	Published - 01-01-2018
Externally published	Yes

All Science Journal Classification (ASJC) codes

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

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10.14419/ijet.v7i2.21.11835

Cite this

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title = "Stochastic voltage stability margin in unbalance feeder with fuzzy based distributed generation placement",

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.",

author = "Sharma, {Jagdish Prasad} and Kamath, {H. Ravishankar}",

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AU - Sharma, Jagdish Prasad

AU - Kamath, H. Ravishankar

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

AB - 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.

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JO - International Journal of Engineering and Technology(UAE)

JF - International Journal of Engineering and Technology(UAE)

SN - 2227-524X

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ER -

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

Abstract

All Science Journal Classification (ASJC) codes

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