Feeder Reconfiguration and Distributed Generator Placement in Electric Power Distribution Network

Pyone Lai Swe

doi:doi:10.11648/j.ajece.20180202.16

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Feeder Reconfiguration and Distributed Generator Placement in Electric Power Distribution Network

Pyone Lai Swe

Published in American Journal of Electrical and Computer Engineering (Volume 2, Issue 2)

Received: 23 November 2018 Accepted: 13 December 2018 Published: 15 January 2019

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Abstract

Power system deregulation and shortage of transmission capacities have led to an increase interest in Distributed Generations (DGs) sources. The optimal location of DGs in power systems is very important for obtaining their maximum potential benefits. A novel approach is proposed in this paper for placement of Distributed Generation (DG) units in reconfigured distribution system with the aim of reduction of real power losses while satisfying operating constraints. This paper presents an efficient method for feeder reconfiguration associated with DG allocation in radial distribution networks for active power compensation by reduction in real power losses and enhancement in voltage profile. Modified plant growth simulation algorithm has been applied successfully to minimize real power loss because it does not require barrier factors or cross over rates because the objectives and constraints are dealt separately. The main advantage of this algorithm is continuous guiding search along with changing objective function because power from distributed generation is continuously varying so this can be applied for real time applications with required modifications. The proposed system has been implemented with different scenarios on 33 bus Yamethin distribution system.

Published in	American Journal of Electrical and Computer Engineering (Volume 2, Issue 2)
DOI	10.11648/j.ajece.20180202.16
Page(s)	56-63
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Feeder Reconfiguration, DG, Sensitivity Analysis, Radial Distribution System, Location and Sizing

References

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Pyone Lai Swe. (2019). Feeder Reconfiguration and Distributed Generator Placement in Electric Power Distribution Network. American Journal of Electrical and Computer Engineering, 2(2), 56-63. https://doi.org/10.11648/j.ajece.20180202.16

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ACS Style

Pyone Lai Swe. Feeder Reconfiguration and Distributed Generator Placement in Electric Power Distribution Network. Am. J. Electr. Comput. Eng. 2019, 2(2), 56-63. doi: 10.11648/j.ajece.20180202.16

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AMA Style

Pyone Lai Swe. Feeder Reconfiguration and Distributed Generator Placement in Electric Power Distribution Network. Am J Electr Comput Eng. 2019;2(2):56-63. doi: 10.11648/j.ajece.20180202.16

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@article{10.11648/j.ajece.20180202.16,
  author = {Pyone Lai Swe},
  title = {Feeder Reconfiguration and Distributed Generator Placement in Electric Power Distribution Network},
  journal = {American Journal of Electrical and Computer Engineering},
  volume = {2},
  number = {2},
  pages = {56-63},
  doi = {10.11648/j.ajece.20180202.16},
  url = {https://doi.org/10.11648/j.ajece.20180202.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajece.20180202.16},
  abstract = {Power system deregulation and shortage of transmission capacities have led to an increase interest in Distributed Generations (DGs) sources. The optimal location of DGs in power systems is very important for obtaining their maximum potential benefits. A novel approach is proposed in this paper for placement of Distributed Generation (DG) units in reconfigured distribution system with the aim of reduction of real power losses while satisfying operating constraints. This paper presents an efficient method for feeder reconfiguration associated with DG allocation in radial distribution networks for active power compensation by reduction in real power losses and enhancement in voltage profile. Modified plant growth simulation algorithm has been applied successfully to minimize real power loss because it does not require barrier factors or cross over rates because the objectives and constraints are dealt separately. The main advantage of this algorithm is continuous guiding search along with changing objective function because power from distributed generation is continuously varying so this can be applied for real time applications with required modifications. The proposed system has been implemented with different scenarios on 33 bus Yamethin distribution system.},
 year = {2019}
}

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TY  - JOUR
T1  - Feeder Reconfiguration and Distributed Generator Placement in Electric Power Distribution Network
AU  - Pyone Lai Swe
Y1  - 2019/01/15
PY  - 2019
N1  - https://doi.org/10.11648/j.ajece.20180202.16
DO  - 10.11648/j.ajece.20180202.16
T2  - American Journal of Electrical and Computer Engineering
JF  - American Journal of Electrical and Computer Engineering
JO  - American Journal of Electrical and Computer Engineering
SP  - 56
EP  - 63
PB  - Science Publishing Group
SN  - 2640-0502
UR  - https://doi.org/10.11648/j.ajece.20180202.16
AB  - Power system deregulation and shortage of transmission capacities have led to an increase interest in Distributed Generations (DGs) sources. The optimal location of DGs in power systems is very important for obtaining their maximum potential benefits. A novel approach is proposed in this paper for placement of Distributed Generation (DG) units in reconfigured distribution system with the aim of reduction of real power losses while satisfying operating constraints. This paper presents an efficient method for feeder reconfiguration associated with DG allocation in radial distribution networks for active power compensation by reduction in real power losses and enhancement in voltage profile. Modified plant growth simulation algorithm has been applied successfully to minimize real power loss because it does not require barrier factors or cross over rates because the objectives and constraints are dealt separately. The main advantage of this algorithm is continuous guiding search along with changing objective function because power from distributed generation is continuously varying so this can be applied for real time applications with required modifications. The proposed system has been implemented with different scenarios on 33 bus Yamethin distribution system.
VL  - 2
IS  - 2
ER  -

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Author Information

Pyone Lai Swe

Department of Electrical Power Engineering, Technological University (Yamethin), Mandalay, Myanmar

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APA Style

Pyone Lai Swe. (2019). Feeder Reconfiguration and Distributed Generator Placement in Electric Power Distribution Network. American Journal of Electrical and Computer Engineering, 2(2), 56-63. https://doi.org/10.11648/j.ajece.20180202.16

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ACS Style

Pyone Lai Swe. Feeder Reconfiguration and Distributed Generator Placement in Electric Power Distribution Network. Am. J. Electr. Comput. Eng. 2019, 2(2), 56-63. doi: 10.11648/j.ajece.20180202.16

Copy | Download

AMA Style

Pyone Lai Swe. Feeder Reconfiguration and Distributed Generator Placement in Electric Power Distribution Network. Am J Electr Comput Eng. 2019;2(2):56-63. doi: 10.11648/j.ajece.20180202.16

Copy | Download

@article{10.11648/j.ajece.20180202.16,
  author = {Pyone Lai Swe},
  title = {Feeder Reconfiguration and Distributed Generator Placement in Electric Power Distribution Network},
  journal = {American Journal of Electrical and Computer Engineering},
  volume = {2},
  number = {2},
  pages = {56-63},
  doi = {10.11648/j.ajece.20180202.16},
  url = {https://doi.org/10.11648/j.ajece.20180202.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajece.20180202.16},
  abstract = {Power system deregulation and shortage of transmission capacities have led to an increase interest in Distributed Generations (DGs) sources. The optimal location of DGs in power systems is very important for obtaining their maximum potential benefits. A novel approach is proposed in this paper for placement of Distributed Generation (DG) units in reconfigured distribution system with the aim of reduction of real power losses while satisfying operating constraints. This paper presents an efficient method for feeder reconfiguration associated with DG allocation in radial distribution networks for active power compensation by reduction in real power losses and enhancement in voltage profile. Modified plant growth simulation algorithm has been applied successfully to minimize real power loss because it does not require barrier factors or cross over rates because the objectives and constraints are dealt separately. The main advantage of this algorithm is continuous guiding search along with changing objective function because power from distributed generation is continuously varying so this can be applied for real time applications with required modifications. The proposed system has been implemented with different scenarios on 33 bus Yamethin distribution system.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Feeder Reconfiguration and Distributed Generator Placement in Electric Power Distribution Network
AU  - Pyone Lai Swe
Y1  - 2019/01/15
PY  - 2019
N1  - https://doi.org/10.11648/j.ajece.20180202.16
DO  - 10.11648/j.ajece.20180202.16
T2  - American Journal of Electrical and Computer Engineering
JF  - American Journal of Electrical and Computer Engineering
JO  - American Journal of Electrical and Computer Engineering
SP  - 56
EP  - 63
PB  - Science Publishing Group
SN  - 2640-0502
UR  - https://doi.org/10.11648/j.ajece.20180202.16
AB  - Power system deregulation and shortage of transmission capacities have led to an increase interest in Distributed Generations (DGs) sources. The optimal location of DGs in power systems is very important for obtaining their maximum potential benefits. A novel approach is proposed in this paper for placement of Distributed Generation (DG) units in reconfigured distribution system with the aim of reduction of real power losses while satisfying operating constraints. This paper presents an efficient method for feeder reconfiguration associated with DG allocation in radial distribution networks for active power compensation by reduction in real power losses and enhancement in voltage profile. Modified plant growth simulation algorithm has been applied successfully to minimize real power loss because it does not require barrier factors or cross over rates because the objectives and constraints are dealt separately. The main advantage of this algorithm is continuous guiding search along with changing objective function because power from distributed generation is continuously varying so this can be applied for real time applications with required modifications. The proposed system has been implemented with different scenarios on 33 bus Yamethin distribution system.
VL  - 2
IS  - 2
ER  -

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