Solving Unit Commitment and Security Problems by Particle Swarm Optimization Technique

Venkata Silpa Borra; K. Debnath

doi:10.1109/GTDAsia.2019.8715898

Solving Unit Commitment and Security Problems by Particle Swarm Optimization Technique

Venkata Silpa Borra, K. Debnath

CDU College of Engineering, IT and Environment

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

Abstract

This paper presents Particle Swarm Optimization (PSO) technique for solving the Unit Commitment (UC) and security problems in Microgrid Central Energy Management System. Two faults were allowed to occur randomly in a generation system. PSO was required to identify the faults themselves and allocate adequate generation from other subsystems. A MATLAB program was written to solve the generation faults and UC problems. PSO is implemented in several cases with simultaneous double faults. It was noted that PSO was applied successfully in all cases.

Original language	English
Title of host publication	2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019
Place of Publication	Piscataway, NJ
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	735-740
Number of pages	6
Edition	1
ISBN (Electronic)	9781538674345
DOIs	https://doi.org/10.1109/GTDAsia.2019.8715898
Publication status	Published - 15 May 2019
Event	2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019 - Bangkok, Thailand Duration: 19 Mar 2019 → 23 Mar 2019

Publication series

Name	2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019

Conference

Conference	2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019
Country/Territory	Thailand
City	Bangkok
Period	19/03/19 → 23/03/19

Access to Document

10.1109/GTDAsia.2019.8715898

Cite this

Borra, V. S., & Debnath, K. (2019). Solving Unit Commitment and Security Problems by Particle Swarm Optimization Technique. In 2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019 (1 ed., pp. 735-740). [8715898] (2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/GTDAsia.2019.8715898

Borra, Venkata Silpa ; Debnath, K. / Solving Unit Commitment and Security Problems by Particle Swarm Optimization Technique. 2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019. 1. ed. Piscataway, NJ : IEEE, Institute of Electrical and Electronics Engineers, 2019. pp. 735-740 (2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019).

@inproceedings{5e4b46e7166b4726b7d53f2eb86f8d5e,

title = "Solving Unit Commitment and Security Problems by Particle Swarm Optimization Technique",

abstract = "This paper presents Particle Swarm Optimization (PSO) technique for solving the Unit Commitment (UC) and security problems in Microgrid Central Energy Management System. Two faults were allowed to occur randomly in a generation system. PSO was required to identify the faults themselves and allocate adequate generation from other subsystems. A MATLAB program was written to solve the generation faults and UC problems. PSO is implemented in several cases with simultaneous double faults. It was noted that PSO was applied successfully in all cases.",

keywords = "Distributed generation, microgrid, particle swarm optimization, renewable energy, unit commitment",

author = "Borra, {Venkata Silpa} and K. Debnath",

year = "2019",

month = may,

day = "15",

doi = "10.1109/GTDAsia.2019.8715898",

language = "English",

series = "2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

pages = "735--740",

booktitle = "2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019",

address = "United States",

edition = "1",

note = "2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019 ; Conference date: 19-03-2019 Through 23-03-2019",

}

Borra, VS & Debnath, K 2019, Solving Unit Commitment and Security Problems by Particle Swarm Optimization Technique. in 2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019. 1 edn, 8715898, 2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019, IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ, pp. 735-740, 2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019, Bangkok, Thailand, 19/03/19. https://doi.org/10.1109/GTDAsia.2019.8715898

Solving Unit Commitment and Security Problems by Particle Swarm Optimization Technique. / Borra, Venkata Silpa; Debnath, K.

2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019. 1. ed. Piscataway, NJ : IEEE, Institute of Electrical and Electronics Engineers, 2019. p. 735-740 8715898 (2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

TY - GEN

T1 - Solving Unit Commitment and Security Problems by Particle Swarm Optimization Technique

AU - Borra, Venkata Silpa

AU - Debnath, K.

PY - 2019/5/15

Y1 - 2019/5/15

N2 - This paper presents Particle Swarm Optimization (PSO) technique for solving the Unit Commitment (UC) and security problems in Microgrid Central Energy Management System. Two faults were allowed to occur randomly in a generation system. PSO was required to identify the faults themselves and allocate adequate generation from other subsystems. A MATLAB program was written to solve the generation faults and UC problems. PSO is implemented in several cases with simultaneous double faults. It was noted that PSO was applied successfully in all cases.

AB - This paper presents Particle Swarm Optimization (PSO) technique for solving the Unit Commitment (UC) and security problems in Microgrid Central Energy Management System. Two faults were allowed to occur randomly in a generation system. PSO was required to identify the faults themselves and allocate adequate generation from other subsystems. A MATLAB program was written to solve the generation faults and UC problems. PSO is implemented in several cases with simultaneous double faults. It was noted that PSO was applied successfully in all cases.

KW - Distributed generation

KW - microgrid

KW - particle swarm optimization

KW - renewable energy

KW - unit commitment

UR - http://www.scopus.com/inward/record.url?scp=85067017157&partnerID=8YFLogxK

U2 - 10.1109/GTDAsia.2019.8715898

DO - 10.1109/GTDAsia.2019.8715898

M3 - Conference Paper published in Proceedings

AN - SCOPUS:85067017157

T3 - 2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019

SP - 735

EP - 740

BT - 2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway, NJ

T2 - 2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019

Y2 - 19 March 2019 through 23 March 2019

ER -

Borra VS, Debnath K. Solving Unit Commitment and Security Problems by Particle Swarm Optimization Technique. In 2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019. 1 ed. Piscataway, NJ: IEEE, Institute of Electrical and Electronics Engineers. 2019. p. 735-740. 8715898. (2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019). https://doi.org/10.1109/GTDAsia.2019.8715898

Solving Unit Commitment and Security Problems by Particle Swarm Optimization Technique

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this