Abstract
This paper presents a significantly efficient nature-motivated moth flame optimization (MFO) algorithm to solve the convex economic load dispatch (ELD) problems of the power system. The ELD focuses on the effective scheduling of the power-generating units so as to fulfil the total load demand and to satisfy the various constraints of the generating units as well as power network limitations. The aim of the proposed work is to reduce the quadratic cost function of the generating unit and hence obtain the minimum cost of generation so as to maintain the economy of the generation plant. The obtained better positions of moths around the flames describe about the best solutions obtained as so far for the proposed work of the ELD problems. This paper performs test on convex cost function of 18 unit system so as to validate the efficiency, reliability and robustness of the proposed methodology.
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Tripati, P., Tomar, U., Singh, V.K., Bhoi, A.K. (2018). Solution of Economic Load Dispatch Problems Through Moth Flame Optimization Algorithm. In: Bera, R., Sarkar, S., Chakraborty, S. (eds) Advances in Communication, Devices and Networking. Lecture Notes in Electrical Engineering, vol 462. Springer, Singapore. https://doi.org/10.1007/978-981-10-7901-6_31
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DOI: https://doi.org/10.1007/978-981-10-7901-6_31
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