Moth Search Optimization for Optimal Integration of DERs for Annual Energy Loss Minimization in Distribution Systems

Pushpendra Singh, S. K. Bishnoi, Nand K. Meena

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper is introduced a new optimization technique, i.e. Moth Search Optimization (MSO), to solve optimal Distributed Energy Resources (DERs) integration problems of distribution systems. An optimal DER integration problem is formulated for annual energy loss minimization considering multiple distributed generations and shunt capacitors simultaneously. In order to validate the proposed MSO, initially, optimal allocation of DGs are obtained for power loss minimization of benchmark 33-bus test distribution system and simulation results are compared with well-established optimization techniques. The optimal DER allocation is also determined for minimization of annual energy loss in conjuration to node voltage deviation over three different load levels. The simulation results obtained are further compared with some of the existing optimization methods. The two-level comparison of optimization methods shows that MSO method has better searching ability to determine optimal solutions for optimal DER allocation problems of distribution systems.

Original languageEnglish
Title of host publication8th IEEE India International Conference on Power Electronics, IICPE 2018
PublisherIEEE
Volume2018-December
ISBN (Electronic)9781538649961
DOIs
Publication statusPublished - 7 May 2019
Event8th IEEE India International Conference on Power Electronics, IICPE 2018 - Jaipur, India
Duration: 13 Dec 201815 Dec 2018

Conference

Conference8th IEEE India International Conference on Power Electronics, IICPE 2018
CountryIndia
CityJaipur
Period13/12/1815/12/18

Fingerprint

Energy resources
Energy dissipation
Resource allocation
Distributed power generation
Capacitors
Electric potential

Keywords

  • Annual energy loss
  • Distributed generations
  • Distribution systems
  • Moth search optimization

Cite this

Singh, P., Bishnoi, S. K., & Meena, N. K. (2019). Moth Search Optimization for Optimal Integration of DERs for Annual Energy Loss Minimization in Distribution Systems. In 8th IEEE India International Conference on Power Electronics, IICPE 2018 (Vol. 2018-December). [8709410] IEEE. https://doi.org/10.1109/IICPE.2018.8709410
Singh, Pushpendra ; Bishnoi, S. K. ; Meena, Nand K. / Moth Search Optimization for Optimal Integration of DERs for Annual Energy Loss Minimization in Distribution Systems. 8th IEEE India International Conference on Power Electronics, IICPE 2018. Vol. 2018-December IEEE, 2019.
@inproceedings{d7e1ca247f264d77844b871c23712dab,
title = "Moth Search Optimization for Optimal Integration of DERs for Annual Energy Loss Minimization in Distribution Systems",
abstract = "This paper is introduced a new optimization technique, i.e. Moth Search Optimization (MSO), to solve optimal Distributed Energy Resources (DERs) integration problems of distribution systems. An optimal DER integration problem is formulated for annual energy loss minimization considering multiple distributed generations and shunt capacitors simultaneously. In order to validate the proposed MSO, initially, optimal allocation of DGs are obtained for power loss minimization of benchmark 33-bus test distribution system and simulation results are compared with well-established optimization techniques. The optimal DER allocation is also determined for minimization of annual energy loss in conjuration to node voltage deviation over three different load levels. The simulation results obtained are further compared with some of the existing optimization methods. The two-level comparison of optimization methods shows that MSO method has better searching ability to determine optimal solutions for optimal DER allocation problems of distribution systems.",
keywords = "Annual energy loss, Distributed generations, Distribution systems, Moth search optimization",
author = "Pushpendra Singh and Bishnoi, {S. K.} and Meena, {Nand K.}",
year = "2019",
month = "5",
day = "7",
doi = "10.1109/IICPE.2018.8709410",
language = "English",
volume = "2018-December",
booktitle = "8th IEEE India International Conference on Power Electronics, IICPE 2018",
publisher = "IEEE",
address = "United States",

}

Singh, P, Bishnoi, SK & Meena, NK 2019, Moth Search Optimization for Optimal Integration of DERs for Annual Energy Loss Minimization in Distribution Systems. in 8th IEEE India International Conference on Power Electronics, IICPE 2018. vol. 2018-December, 8709410, IEEE, 8th IEEE India International Conference on Power Electronics, IICPE 2018, Jaipur, India, 13/12/18. https://doi.org/10.1109/IICPE.2018.8709410

Moth Search Optimization for Optimal Integration of DERs for Annual Energy Loss Minimization in Distribution Systems. / Singh, Pushpendra; Bishnoi, S. K.; Meena, Nand K.

8th IEEE India International Conference on Power Electronics, IICPE 2018. Vol. 2018-December IEEE, 2019. 8709410.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Moth Search Optimization for Optimal Integration of DERs for Annual Energy Loss Minimization in Distribution Systems

AU - Singh, Pushpendra

AU - Bishnoi, S. K.

AU - Meena, Nand K.

PY - 2019/5/7

Y1 - 2019/5/7

N2 - This paper is introduced a new optimization technique, i.e. Moth Search Optimization (MSO), to solve optimal Distributed Energy Resources (DERs) integration problems of distribution systems. An optimal DER integration problem is formulated for annual energy loss minimization considering multiple distributed generations and shunt capacitors simultaneously. In order to validate the proposed MSO, initially, optimal allocation of DGs are obtained for power loss minimization of benchmark 33-bus test distribution system and simulation results are compared with well-established optimization techniques. The optimal DER allocation is also determined for minimization of annual energy loss in conjuration to node voltage deviation over three different load levels. The simulation results obtained are further compared with some of the existing optimization methods. The two-level comparison of optimization methods shows that MSO method has better searching ability to determine optimal solutions for optimal DER allocation problems of distribution systems.

AB - This paper is introduced a new optimization technique, i.e. Moth Search Optimization (MSO), to solve optimal Distributed Energy Resources (DERs) integration problems of distribution systems. An optimal DER integration problem is formulated for annual energy loss minimization considering multiple distributed generations and shunt capacitors simultaneously. In order to validate the proposed MSO, initially, optimal allocation of DGs are obtained for power loss minimization of benchmark 33-bus test distribution system and simulation results are compared with well-established optimization techniques. The optimal DER allocation is also determined for minimization of annual energy loss in conjuration to node voltage deviation over three different load levels. The simulation results obtained are further compared with some of the existing optimization methods. The two-level comparison of optimization methods shows that MSO method has better searching ability to determine optimal solutions for optimal DER allocation problems of distribution systems.

KW - Annual energy loss

KW - Distributed generations

KW - Distribution systems

KW - Moth search optimization

UR - http://www.scopus.com/inward/record.url?scp=85065895171&partnerID=8YFLogxK

UR - https://ieeexplore.ieee.org/document/8709410

U2 - 10.1109/IICPE.2018.8709410

DO - 10.1109/IICPE.2018.8709410

M3 - Conference contribution

AN - SCOPUS:85065895171

VL - 2018-December

BT - 8th IEEE India International Conference on Power Electronics, IICPE 2018

PB - IEEE

ER -

Singh P, Bishnoi SK, Meena NK. Moth Search Optimization for Optimal Integration of DERs for Annual Energy Loss Minimization in Distribution Systems. In 8th IEEE India International Conference on Power Electronics, IICPE 2018. Vol. 2018-December. IEEE. 2019. 8709410 https://doi.org/10.1109/IICPE.2018.8709410