Abstract
In this paper, harmony search is applied to the dynamic economic dispatch problem. Dynamic economic dispatch being a constrained optimization problem, and an optimal tool plays an important role to control the cost and governs optimal setup of power demands over a definite period of time. This method is used to minimize the cost function and optimal settings of generator units with projected load demand over a certain interval of time. The major objective is to maintain economical operation of power system, within its constraint. A random search technique known as harmony search algorithm is used to optimize the generating cost of an IEEE 10 unit generating system with a reduced convergence time. The system is studied for 24 hours on hourly basis for dynamic load dispatch.
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Sahoo, A.K., Panigrahi, T.K., Paramguru, J., Hota, A. (2021). Dynamic Economic Dispatch Using Harmony Search Algorithm. In: Patnaik, S., Yang, XS., Sethi, I. (eds) Advances in Machine Learning and Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-5243-4_39
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DOI: https://doi.org/10.1007/978-981-15-5243-4_39
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