Wind-thermal systems operation optimization considering emission problem

Zhang,Y, Yao,F, Iu,HHC, Fernando,T and Trinh,H 2015, Wind-thermal systems operation optimization considering emission problem, International journal of electrical power and energy systems, vol. 65, pp. 238-245, doi: 10.1016/j.ijepes.2014.10.011.

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Title Wind-thermal systems operation optimization considering emission problem
Author(s) Zhang,Y
Trinh,HORCID iD for Trinh,H
Journal name International journal of electrical power and energy systems
Volume number 65
Start page 238
End page 245
Publisher Elsevier Ltd
Place of publication London, England
Publication date 2015-02
ISSN 0142-0615
Keyword(s) Combined Unit Commitment and Emission (CUCE)
Particle Swarm Optimization (PSO)
Sequential Quadratic Programming (SQP)
Wind power
Summary 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. Moreover, comparisons are performed with other optimization algorithms. The simulation results show that our hybrid method is better in terms of the speed and accuracy. The main contribution of this paper is the development of a emission unit commitment model integrating with wind energy and combining the SQP and PSO methods to achieve faster and better performance optimization
Language eng
DOI 10.1016/j.ijepes.2014.10.011
Field of Research 090608 Renewable Power and Energy Systems Engineering (excl Solar Cells)
090602 Control Systems, Robotics and Automation
010204 Dynamical Systems in Applications
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Grant ID DP130101532
Copyright notice ©2015, Elsevier
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Document type: Journal Article
Collection: School of Engineering
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