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Artificial Neural Network algorithms for the optimum solution of Economic load dispatch problem

Economic Load Dispatch is a multivariable, complex, and non-linear problem that optimizes the cost of an electrical energy power plant that involves several parameters such as line resistance and reactance, generation capacity constraint, bus load distribution, and power balancing, among others. ANN (Artificial Neural Network) is a promising tool for solving complex multi-input non-linear problems with maximum efficiency and acceptable error. Years of research have resulted in the development of several algorithms for the smooth implementation of ANN for a wide range of problems. In this paper, we applied three ANN algorithms to the problem of a power system with three generators. LSTM (Long Short-Term Memory), GRU (Gated Recurrent Unit), and DFF (Deep Feed Forward) are the algorithms used. The results have identified the viability of all the proposed methodologies on the 5-bus system economic load dispatch problem.