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Evolutionary optimisation for power generation unit loading application

journal contribution
posted on 06.12.2017, 00:00 by Dujuan LiDujuan Li, J Zhou
Power generation unit loading optimisation is a practically viable tool for efficiency improvement. The objectives for the coal-fired power generation loading optimisation are to minimize fuel consumption and to minimize emissions for a given load demand. This paper presents two models for this significant industrial application. Depending on the environmental regulation, either a single objective constrained model or a multi-objective constrained model can be chosen in practice. A multi-objective constraint-handling method incorporating the constraint dominance concept via Particle Swarm Optimisation (PSO) algorithm has been adopted for problem solving. The simulation results based on a coal-fired power plant demonstrates the capability, effectiveness and efficiency of using the proposed approach in a large scale industrial application.

History

Volume

1

Issue

1

Start Page

37

End Page

49

Number of Pages

13

eISSN

2287-4852

ISSN

2287-4844

Location

San Diego, USA

Publisher

Human and Science Publication by AAHSRC

Language

en-aus

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Faculty of Arts, Business, Informatics and Education; Stanwell Corporation Limited; TBA Research Institute;

Era Eligible

Yes

Journal

Progress in intelligent computing and applications.