Optimizing Load Dispatch using Flower Pollination Algorithm Technique

Saurabh Yadav*, S. K. Gupta**
* PG Scholar, Department of Electrical Engineering, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, India.
** Professor, Department of Electrical Engineering, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, India.
Periodicity:August - October'2017
DOI : https://doi.org/10.26634/jps.5.3.13668


For the operational planning of power system, Economic Load Dispatch (ELD) problem is to be optimized. This paper presents an effective and reliable Flower Pollination Algorithm (FPA) technique for the economic load dispatch problem. Flower Pollination Algorithm is applied to determine the optimal schedule of power generation in a thermal power system. The results are calculated using the ELD of standard 3-generator and 6-generator systems with all the equality and inequality constraints. It is found that the results obtained by using the FPA technique are better than the conventional technique and the Particle Swarm Optimization (PSO) in terms of fuel cost and computation time.


Economic Load Dispatch, Flower Pollination Algorithm, Particle Swarm Optimization

How to Cite this Article?

Yadav, S., and Gupta, S. K. (2017). Optimizing Load Dispatch using Flower Pollination Algorithm Technique. i-manager’s Journal on Power Systems Engineering, 5(3), 17-23. https://doi.org/10.26634/jps.5.3.13668


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