Abstract
Environmental/economic dispatch (EED) is a bi-objective optimization problem with conflicting optimization objectives, the minimization of fuel cost and the minimization of emission. In this paper, a modified average price penalty factor (MAPPF) is introduced to convert the bi-objective EED problem into a single-objective optimization problem. A new hybrid evolutionary programming (HEP) methodology is proposed to solve the EED. In the methodology, a simple evolutionary programming (EP) is used as a basic level search, which can give a good direction to the optimal global region. Then, a local search procedure is adopted as a fine tuning to determine the optimal solution. The methodology is applied to a 15-unit system and the numerical results indicate its effectiveness and practicality.
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Chen, G., Li, Y., Duan, X. (2009). Economic Power Dispatch with Environmental Constraints Using a Novel Hybrid Evolutionary Programming. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01510-6_61
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DOI: https://doi.org/10.1007/978-3-642-01510-6_61
Publisher Name: Springer, Berlin, Heidelberg
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