Application of WDO for Decision-Making in Combined Economic and Emission Dispatch Problem

V. Udhay Sankar; Bhanutej; C. H. Hussaian Basha; Derick Mathew; K. Busawon

doi:10.1007/978-981-15-0035-0_73

Application of WDO for Decision-Making in Combined Economic and Emission Dispatch Problem

V. Udhay Sankar^*, Bhanutej, C. H. Hussaian Basha, Derick Mathew, K. Busawon

^*Corresponding author for this work

Mathematics, Physics and Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

A number of optimization techniques have been used by researchers to solve the combined economic and emission dispatch problem. In this paper, we have applied Wind Driven Optimization (WDO), a heuristic global optimization technique to solve the CEED problem. The technique was applied to three different test systems and the results obtained were compared and analyzed with the results obtained from other techniques. MATLAB R2017a was used for the coding and execution of the algorithm.

Original language	English
Title of host publication	Soft Computing for Problem Solving
Subtitle of host publication	SocProS 2018, Volume 1
Editors	Kedar Nath Das, Jagdish Chand Bansal, Kusum Deep, Atulya K. Nagar, Ponnambalam Pathipooranam, Rani Chinnappa Naidu
Place of Publication	Singapore, Singapore
Publisher	Springer
Pages	907-923
Number of pages	17
Edition	1st
ISBN (Electronic)	9789811500350
ISBN (Print)	9789811500343
DOIs	https://doi.org/10.1007/978-981-15-0035-0_73
Publication status	Published - 28 Nov 2019
Event	8th International Conference on Soft Computing for Problem Solving, SocProS 2018 - Vellore, India Duration: 17 Dec 2018 → 19 Dec 2018

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1048
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	8th International Conference on Soft Computing for Problem Solving, SocProS 2018
Country/Territory	India
City	Vellore
Period	17/12/18 → 19/12/18

Keywords

Combined economic emission dispatch
Emission cost
Fuel cost
Wind-driven optimization

Access to Document

10.1007/978-981-15-0035-0_73

Cite this

Udhay Sankar, V., Bhanutej, Hussaian Basha, C. H., Mathew, D., & Busawon, K. (2019). Application of WDO for Decision-Making in Combined Economic and Emission Dispatch Problem. In K. N. Das, J. C. Bansal, K. Deep, A. K. Nagar, P. Pathipooranam, & R. C. Naidu (Eds.), Soft Computing for Problem Solving: SocProS 2018, Volume 1 (1st ed., pp. 907-923). (Advances in Intelligent Systems and Computing; Vol. 1048). Springer. https://doi.org/10.1007/978-981-15-0035-0_73

Udhay Sankar, V. ; Bhanutej ; Hussaian Basha, C. H. et al. / Application of WDO for Decision-Making in Combined Economic and Emission Dispatch Problem. Soft Computing for Problem Solving: SocProS 2018, Volume 1. editor / Kedar Nath Das ; Jagdish Chand Bansal ; Kusum Deep ; Atulya K. Nagar ; Ponnambalam Pathipooranam ; Rani Chinnappa Naidu. 1st. ed. Singapore, Singapore : Springer, 2019. pp. 907-923 (Advances in Intelligent Systems and Computing).

@inproceedings{feb9b713c98946518c3c7a22dd6d46e0,

title = "Application of WDO for Decision-Making in Combined Economic and Emission Dispatch Problem",

abstract = "A number of optimization techniques have been used by researchers to solve the combined economic and emission dispatch problem. In this paper, we have applied Wind Driven Optimization (WDO), a heuristic global optimization technique to solve the CEED problem. The technique was applied to three different test systems and the results obtained were compared and analyzed with the results obtained from other techniques. MATLAB R2017a was used for the coding and execution of the algorithm.",

keywords = "Combined economic emission dispatch, Emission cost, Fuel cost, Wind-driven optimization",

author = "{Udhay Sankar}, V. and Bhanutej and {Hussaian Basha}, {C. H.} and Derick Mathew and K. Busawon",

year = "2019",

month = nov,

day = "28",

doi = "10.1007/978-981-15-0035-0_73",

language = "English",

isbn = "9789811500343",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "907--923",

editor = "Das, {Kedar Nath} and Bansal, {Jagdish Chand} and Kusum Deep and Nagar, {Atulya K.} and Ponnambalam Pathipooranam and Naidu, {Rani Chinnappa}",

booktitle = "Soft Computing for Problem Solving",

address = "Germany",

edition = "1st",

note = "8th International Conference on Soft Computing for Problem Solving, SocProS 2018 ; Conference date: 17-12-2018 Through 19-12-2018",

}

Udhay Sankar, V, Bhanutej, Hussaian Basha, CH, Mathew, D & Busawon, K 2019, Application of WDO for Decision-Making in Combined Economic and Emission Dispatch Problem. in KN Das, JC Bansal, K Deep, AK Nagar, P Pathipooranam & RC Naidu (eds), Soft Computing for Problem Solving: SocProS 2018, Volume 1. 1st edn, Advances in Intelligent Systems and Computing, vol. 1048, Springer, Singapore, Singapore, pp. 907-923, 8th International Conference on Soft Computing for Problem Solving, SocProS 2018, Vellore, India, 17/12/18. https://doi.org/10.1007/978-981-15-0035-0_73

Application of WDO for Decision-Making in Combined Economic and Emission Dispatch Problem. / Udhay Sankar, V.; Bhanutej; Hussaian Basha, C. H. et al.
Soft Computing for Problem Solving: SocProS 2018, Volume 1. ed. / Kedar Nath Das; Jagdish Chand Bansal; Kusum Deep; Atulya K. Nagar; Ponnambalam Pathipooranam; Rani Chinnappa Naidu. 1st. ed. Singapore, Singapore: Springer, 2019. p. 907-923 (Advances in Intelligent Systems and Computing; Vol. 1048).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Application of WDO for Decision-Making in Combined Economic and Emission Dispatch Problem

AU - Udhay Sankar, V.

AU - Bhanutej,

AU - Hussaian Basha, C. H.

AU - Mathew, Derick

AU - Busawon, K.

PY - 2019/11/28

Y1 - 2019/11/28

N2 - A number of optimization techniques have been used by researchers to solve the combined economic and emission dispatch problem. In this paper, we have applied Wind Driven Optimization (WDO), a heuristic global optimization technique to solve the CEED problem. The technique was applied to three different test systems and the results obtained were compared and analyzed with the results obtained from other techniques. MATLAB R2017a was used for the coding and execution of the algorithm.

AB - A number of optimization techniques have been used by researchers to solve the combined economic and emission dispatch problem. In this paper, we have applied Wind Driven Optimization (WDO), a heuristic global optimization technique to solve the CEED problem. The technique was applied to three different test systems and the results obtained were compared and analyzed with the results obtained from other techniques. MATLAB R2017a was used for the coding and execution of the algorithm.

KW - Combined economic emission dispatch

KW - Emission cost

KW - Fuel cost

KW - Wind-driven optimization

UR - http://www.scopus.com/inward/record.url?scp=85077013831&partnerID=8YFLogxK

U2 - 10.1007/978-981-15-0035-0_73

DO - 10.1007/978-981-15-0035-0_73

M3 - Conference contribution

AN - SCOPUS:85077013831

SN - 9789811500343

T3 - Advances in Intelligent Systems and Computing

SP - 907

EP - 923

BT - Soft Computing for Problem Solving

A2 - Das, Kedar Nath

A2 - Bansal, Jagdish Chand

A2 - Deep, Kusum

A2 - Nagar, Atulya K.

A2 - Pathipooranam, Ponnambalam

A2 - Naidu, Rani Chinnappa

PB - Springer

CY - Singapore, Singapore

T2 - 8th International Conference on Soft Computing for Problem Solving, SocProS 2018

Y2 - 17 December 2018 through 19 December 2018

ER -

Udhay Sankar V, Bhanutej, Hussaian Basha CH, Mathew D, Busawon K. Application of WDO for Decision-Making in Combined Economic and Emission Dispatch Problem. In Das KN, Bansal JC, Deep K, Nagar AK, Pathipooranam P, Naidu RC, editors, Soft Computing for Problem Solving: SocProS 2018, Volume 1. 1st ed. Singapore, Singapore: Springer. 2019. p. 907-923. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-981-15-0035-0_73

Application of WDO for Decision-Making in Combined Economic and Emission Dispatch Problem

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Cite this