Optimal scheduling control for distributed generations in smart grids using binary lightning search algorithm

![CDATA[The fuel deficiency and carbon emissions from the traditional power plants have pursued moving to renewable energy sources (RES) power generation. The RES generation relies on weather conditions so the integration of RES with current power generation systems is essential to minimize the energy problems. This study proposes a new binary lightning search algorithm (BLSA) for the best scheduling controller employed to IEEE 14 bus system for regulating distributed generators (DGs) in smart grids (SGs). BLSA optimisation technique presents the optimal fitness function for identifying the best cell to produce the best schedule. The fitness function is developed considering real circumstances of solar radiation, wind speed, battery status and demand of the particular time. The attained results of BLSA are compared with the conventional optimization technique with regard to the fitness function, cost and power saving. The proposed BLSA optimization technique decreases the power production cost and incorporates preference-based DGs into the grid. Thus, the optimal scheduling can facilitate effective coordination of DGs into the grid by offsetting their uncertainty.]]