Using Reinforcement Learning to Make Smart Energy Storage Sources in Microgrid

The use of renewable energy in power generation, sudden changes in load and fault in power transmission lines, causing a voltage drop in the system and challenge the reliability of the system. One way to compensate the changing nature of renewable energies in the short term without the need to disconnect loads or turn on other plants, use of renewable energies. The use of energy storage improved electrical stability, power quality and improve the peak power load. In this paper, using reinforcement learning to present optimal method for charge and discharge the consumer battery and Uncertainty of production could be due to the random nature of wind energy improved. Simulation results indicate not only the use of renewable energy and battery enhanced but also the cost of annual payments and peak consumption times reduced.