Operation Optimization of Wind-Thermal Systems Considering Emission Problem

Y. Zhang; Fang Yao; Ho Ching Iu; Tyrone Fernando; H. Trinh

doi:10.1109/IECON.2014.7048807

Operation Optimization of Wind-Thermal Systems Considering Emission Problem

Y. Zhang, Fang Yao, Ho Ching Iu, Tyrone Fernando, H. Trinh

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

3 Citations (Scopus)

Abstract

This paper proposes a hybrid computational framework based on Sequential Quadratic Programming (SQP) and Particle Swarm Optimization (PSO) to address the Combined Unit Commitment and Emission (CUCE) problem. By considering a model which includes both thermal generators and wind farms, the proposed hybrid computational framework can minimize the scheduling cost and greenhouse gases emission cost. The viability of the proposed hybrid technique is demonstrated using a set of numerical case studies. Furthermore, comparisons are performed with other optimization algorithms.

Original language	English
Title of host publication	IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society
Place of Publication	Dallas, Texas, US
Publisher	IEEE DataPort
Pages	2199-2205
Number of pages	7
Volume	NA
ISBN (Print)	978-1-4799-4032-5
DOIs	https://doi.org/10.1109/IECON.2014.7048807
Publication status	Published - 2014
Event	IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society - Dallas, TX, USA Duration: 29 Oct 2014 → 1 Nov 2014

Conference

Conference	IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society
Period	29/10/14 → 1/11/14

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10.1109/IECON.2014.7048807

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@inproceedings{187e69a6486548b1bcdbda7f6712bf19,

title = "Operation Optimization of Wind-Thermal Systems Considering Emission Problem",

abstract = "This paper proposes a hybrid computational framework based on Sequential Quadratic Programming (SQP) and Particle Swarm Optimization (PSO) to address the Combined Unit Commitment and Emission (CUCE) problem. By considering a model which includes both thermal generators and wind farms, the proposed hybrid computational framework can minimize the scheduling cost and greenhouse gases emission cost. The viability of the proposed hybrid technique is demonstrated using a set of numerical case studies. Furthermore, comparisons are performed with other optimization algorithms.",

keywords = "Computational fluid dynamics",

author = "Y. Zhang and Fang Yao and Iu, {Ho Ching} and Tyrone Fernando and H. Trinh",

year = "2014",

doi = "10.1109/IECON.2014.7048807",

language = "English",

isbn = "978-1-4799-4032-5",

volume = "NA",

pages = "2199--2205",

booktitle = "IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society",

publisher = "IEEE DataPort",

note = "IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society ; Conference date: 29-10-2014 Through 01-11-2014",

}

Zhang, Y, Yao, F, Iu, HC , Fernando, T & Trinh, H 2014, Operation Optimization of Wind-Thermal Systems Considering Emission Problem. in IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society. vol. NA, 7048807, IEEE DataPort, Dallas, Texas, US, pp. 2199-2205, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, 29/10/14. https://doi.org/10.1109/IECON.2014.7048807

TY - GEN

T1 - Operation Optimization of Wind-Thermal Systems Considering Emission Problem

AU - Zhang, Y.

AU - Yao, Fang

AU - Iu, Ho Ching

AU - Fernando, Tyrone

AU - Trinh, H.

PY - 2014

Y1 - 2014

N2 - This paper proposes a hybrid computational framework based on Sequential Quadratic Programming (SQP) and Particle Swarm Optimization (PSO) to address the Combined Unit Commitment and Emission (CUCE) problem. By considering a model which includes both thermal generators and wind farms, the proposed hybrid computational framework can minimize the scheduling cost and greenhouse gases emission cost. The viability of the proposed hybrid technique is demonstrated using a set of numerical case studies. Furthermore, comparisons are performed with other optimization algorithms.

AB - This paper proposes a hybrid computational framework based on Sequential Quadratic Programming (SQP) and Particle Swarm Optimization (PSO) to address the Combined Unit Commitment and Emission (CUCE) problem. By considering a model which includes both thermal generators and wind farms, the proposed hybrid computational framework can minimize the scheduling cost and greenhouse gases emission cost. The viability of the proposed hybrid technique is demonstrated using a set of numerical case studies. Furthermore, comparisons are performed with other optimization algorithms.

KW - Computational fluid dynamics

UR - https://ieeexplore.ieee.org/document/7048807/

U2 - 10.1109/IECON.2014.7048807

DO - 10.1109/IECON.2014.7048807

M3 - Conference paper

SN - 978-1-4799-4032-5

VL - NA

SP - 2199

EP - 2205

BT - IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE DataPort

CY - Dallas, Texas, US

T2 - IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

Y2 - 29 October 2014 through 1 November 2014

ER -

Operation Optimization of Wind-Thermal Systems Considering Emission Problem

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