Abstract
This work proposes a firefly algorithm for the optimal economic emission dispatch (EED) of the hydrothermal power system (HPS), considering non-smooth fuel cost and emission level functions. The firefly algorithm (FA) can efficiently search and actively explore solutions. The multiplier updating (MU) is introduced to handle the equality and inequality constraints of the HPS, and the ε-constraint technique is employed to manage the multi-objective problem. To show the advantages of the proposed algorithm, one example addressing the best compromise is applied to test the EED problem of the HPS. The proposed approach integrates the FA, the MU, and the ε-constraint technique, revealing that the proposed approach has the following merits—ease of implementation; applicability to non-smooth fuel cost and emission level functions; better effectiveness than the previous method, and the requirement for only a small population in applying the optimal EED problem of the HPS.
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© 2016 Springer International Publishing Switzerland
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Chiang, CL. (2016). Firefly Algorithm for Power Economic Emission Dispatch. In: Juang, J. (eds) Proceedings of the 3rd International Conference on Intelligent Technologies and Engineering Systems (ICITES2014). Lecture Notes in Electrical Engineering, vol 345. Springer, Cham. https://doi.org/10.1007/978-3-319-17314-6_2
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DOI: https://doi.org/10.1007/978-3-319-17314-6_2
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-17313-9
Online ISBN: 978-3-319-17314-6
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