Artificial Neural Network Approach for Economic Load Dispatch for varying Loads

Abstract

 The objective of the present paper is to know the distribution of load out of the total load arriving upon the generating plant for economic load dispatch. The plant consists of ten generating units each 250 MW. The estimation of load allocations to generators for every specific load has been carried out using mathematical approach as well as with the help of artificial neural network (ANN). After proper training of the artificial neural network when it is tested, it gave the load allocations for specific load which resulted in economic load dispatch. The results as obtained by mathematical modeling & artificial neural network show a good agreement. Thus it could be established that corresponding to certain load demand the ANN provides the loads to be taken up by the individual generators in the plant for ensuring economic load dispatch for every value of load demand.

Authors and Affiliations

Sanjay Kumar Mathur

Keywords

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  • EP ID EP164024
  • DOI -
  • Views 69
  • Downloads 0

How To Cite

Sanjay Kumar Mathur (30).  Artificial Neural Network Approach for Economic Load Dispatch for varying Loads. International Journal of Engineering Sciences & Research Technology, 2(12), 3707-3712. https://europub.co.uk/articles/-A-164024