Power System Economic Dispatch Using Traditional and Neural Networks Programs

The introduction of techniques of artificial intelligence in software of control and decision is an essential element in research and development of tomorrow’s power systems. Neural networks are among the techniques most used in the field of artificial intelligence. The economic dispatch is a key sector in the electricity networks, where it must generate less energy for the same demand with good economic operation reducing repartition grid losses to have the least cost of kWh possible. In this paper, we will opt for a quicker economic dispatch; we will program a mesh network of 8 buses including 3 generation units using traditional program then backpropagation learning neural network program, finally, we will compare the two programs in terms of speed and reliability.