Application of Wind-Driven Optimization for Decision-Making in Economic Dispatch Problem

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

doi:10.1007/978-981-15-0035-0_74

Application of Wind-Driven Optimization for Decision-Making in Economic Dispatch Problem

V. Udhay Sankar^*, Bhanutej, C. H. Hussaian Basha, Derick Mathew, C. Rani, 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 non-convex Economic Dispatch (ED) problem. In this paper, we have applied Wind-Driven Optimization (WDO), a heuristic global optimization technique to solve the ED 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	925-940
Number of pages	16
Edition	1st
ISBN (Electronic)	9789811500350
ISBN (Print)	9789811500343
DOIs	https://doi.org/10.1007/978-981-15-0035-0_74
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

Economic dispatch
Emission cost
Fuel cost
Wind-driven optimization

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10.1007/978-981-15-0035-0_74

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Udhay Sankar, V., Bhanutej, Hussaian Basha, C. H., Mathew, D., Rani, C., & Busawon, K. (2019). Application of Wind-Driven Optimization for Decision-Making in Economic 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. 925-940). (Advances in Intelligent Systems and Computing; Vol. 1048). Springer. https://doi.org/10.1007/978-981-15-0035-0_74

Udhay Sankar, V. ; Bhanutej ; Hussaian Basha, C. H. et al. / Application of Wind-Driven Optimization for Decision-Making in Economic 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. 925-940 (Advances in Intelligent Systems and Computing).

@inproceedings{c9aff21ecb2947fbb72f1096848e29d6,

title = "Application of Wind-Driven Optimization for Decision-Making in Economic Dispatch Problem",

abstract = "A number of optimization techniques have been used by researchers to solve the non-convex Economic Dispatch (ED) problem. In this paper, we have applied Wind-Driven Optimization (WDO), a heuristic global optimization technique to solve the ED 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 = "Economic dispatch, Emission cost, Fuel cost, Wind-driven optimization",

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

year = "2019",

month = nov,

day = "28",

doi = "10.1007/978-981-15-0035-0_74",

language = "English",

isbn = "9789811500343",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "925--940",

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",

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edition = "1st",

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Udhay Sankar, V, Bhanutej, Hussaian Basha, CH, Mathew, D, Rani, C & Busawon, K 2019, Application of Wind-Driven Optimization for Decision-Making in Economic 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. 925-940, 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_74

Application of Wind-Driven Optimization for Decision-Making in Economic 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. 925-940 (Advances in Intelligent Systems and Computing; Vol. 1048).

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

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AU - Udhay Sankar, V.

AU - Bhanutej, null

AU - Hussaian Basha, C. H.

AU - Mathew, Derick

AU - Rani, C.

AU - Busawon, K.

PY - 2019/11/28

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N2 - A number of optimization techniques have been used by researchers to solve the non-convex Economic Dispatch (ED) problem. In this paper, we have applied Wind-Driven Optimization (WDO), a heuristic global optimization technique to solve the ED 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 non-convex Economic Dispatch (ED) problem. In this paper, we have applied Wind-Driven Optimization (WDO), a heuristic global optimization technique to solve the ED 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.

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Udhay Sankar V, Bhanutej, Hussaian Basha CH, Mathew D, Rani C, Busawon K. Application of Wind-Driven Optimization for Decision-Making in Economic 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. 925-940. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-981-15-0035-0_74

Application of Wind-Driven Optimization for Decision-Making in Economic Dispatch Problem

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