Multi-objective optimization for combined heat and power economic dispatch with power transmission loss and emission reduction

The growing concern over environmental considerations and the increasing fuel cost call for operating the energy station in a more economical and environmentally friendly way. This paper develops a multi-objective model for the CHPED (combined heat and power economic dispatch) problem to conventiona...

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Bibliographic Details
Published in:Energy (Oxford) Vol. 56; pp. 135 - 143
Main Authors: Shi, Bin, Yan, Lie-Xiang, Wu, Wei
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01.07.2013
Elsevier
Subjects:
algorithms
Applied sciences
Combined heat and power
decision making
Economic dispatch
Emission reduction
Energy
energy costs
environmental impact
Exact sciences and technology
heat
Multi-objective line-up competition algorithm
Power transmission loss
system optimization
Multi-objective line-up competition algorithm
Emission reduction
Economic dispatch
Combined heat and power
Power transmission loss
Electric energy transportation
Transmission loss
Pollution control
Optimization
ISSN:0360-5442
Online Access:Get full text
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Summary:The growing concern over environmental considerations and the increasing fuel cost call for operating the energy station in a more economical and environmentally friendly way. This paper develops a multi-objective model for the CHPED (combined heat and power economic dispatch) problem to conventional energy stations, where the competing fuel cost and environmental impact objectives are simultaneously optimized. To model the problem accurately, both non-linear fuel cost functions with valve-point loading effects and power transmission loss are explicitly considered in this model. A novel MLCA (multi-objective line-up competition algorithm) is proposed to handle the problem as a nonlinear constrained multi-objective optimization problem. Some diversity-preserving mechanisms are employed in the MLCA to produce well-distributed Pareto-optimal solutions. Moreover, a fuzzy decision-making process is applied to extract the best compromise nondominated solution from the Pareto-optimal set. The performance of the proposed method is validated by two typical systems. Comparison results have demonstrated the superiority of the proposed approach and confirmed its potential to solve the larger multi-objective CHPED problem. •A practical framework for solving non-convex, non-linear MCHPED problem is presented.•Effective constraint handling strategies for the multiple production constraints of the MCHPED problem is addressed.•A well balance for the emission reducing and fuel consuming is achieved.
Bibliography:http://dx.doi.org/10.1016/j.energy.2013.04.066
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ISSN:0360-5442
DOI:10.1016/j.energy.2013.04.066