Abstract
This paper addresses an integral sliding mode control approach for automatic generation control (AGC) of a single area power system. Genetic algorithm (GA) is employed to search the parameters of the sliding surface. The proposed design is investigated for AGC of a single area power system, made up of reheated thermal and gas power generations. Compared with the GA-based proportion-integral (PI) control, simulation results show the feasibility of the presented method.
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Qian, D., Liu, X., Ma, M., Xu, C. (2010). GA-Based Integral Sliding Mode Control for AGC. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13498-2_34
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DOI: https://doi.org/10.1007/978-3-642-13498-2_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13497-5
Online ISBN: 978-3-642-13498-2
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