Abstract
This article presents an efficient optimization approach to solve constrained Economic Load Dispatch (ELD) problem using a ‘Lbest-Particle Swarm Optimization with Dynamically Varying Sub-swarms’ (LPSO-DVS). The proposed method is found to give optimal results while working with constraints in the ELD, arising due to practical limitations like dynamic operation constraints (ramp rate limits) and prohibited zones and also accounts valve point loadings. Simulations performed over various systems with different number of generating units with the proposed method have been compared with other existing relevant approaches. Experimental results support the claim of proficiency of the method over other existing techniques in terms of robustness, fast convergence and, most importantly its optimal search behavior.
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Zafar, H., Chowdhury, A., Panigrahi, B.K. (2011). Solution of Economic Load Dispatch Problem Using Lbest-Particle Swarm Optimization with Dynamically Varying Sub-swarms. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Satapathy, S.C. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2011. Lecture Notes in Computer Science, vol 7076. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27172-4_24
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DOI: https://doi.org/10.1007/978-3-642-27172-4_24
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