Immune-Based Algorithm for Power Economic Emission Dispatch

Abstract:

This paper proposes an artificial immune system for the economic environmental dispatch (EED) of the hydrothermal power system (HPS), considering non-smooth fuel cost and emission level functions. The artificial immune system (AIS) equipped with an accelerated operation and a migration operation 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 constraints of HPS. 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 algorithm integrates the AIS, the MU and the ε-constraint technique, revealing that the proposed approach has the following merits – 1)ease of implementation; 2)applicability to non-smooth fuel cost and emission level functions; 3)better effectiveness than the previous method, and 4)the requirement for only a small population in applying the optimal EED problem of the HPS.

• Periodical: Applied Mechanics and Materials (Volume 470)
• Pages: 785-789
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.470.785
• Online since: December 2013
• Authors: Chao Lung Chiang*
• Keywords: Artificial Immune System, Economic Environmental Dispatch, Hydrothermal Power System

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