Efficient ANN Topologies for Economic Load Dispatch - An Experiment
Published: 2022
Author(s) Name: Umapathi Krishnamoorthy |
Author(s) Affiliation: M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India.
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Abstract
A proven truth is that most complex non-linear problems
can be effectively solved by using Artificial Neural Networks. And
hence this paper addresses the economic load dispatch in the power
distribution sector of electrical engineering. There are ‘N’ number of
quantities that affect the load dispatch and thus its optimization
demands laborious training to achieve good results. This paper studies
the prediction accuracy of three different ANN topologies on a 3-
source 5-bus system. Topology used includes Long Short-Term
Memory (LSTM), Gated Recurrent Unit (GRU) and Deep Feed
Forward (DFF) networks and their corresponding results were
portrayed.
Keywords: Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Deep Feed Forward (DFF), Recurrent Neural Network (RNN), Economic Load Dispatch (ELD), Artificial Neural Network, Power System.
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