The main target of this paper is to allow renewable energy resources (RES) to participate effectively within hybrid micro
grids via an optimal proportional integral- derivative (PID) controller. This paper proposes two techniques of optimal PID
controllers in a hybrid renewable generation energy system. These techniques are particle swarm optimization (PSO) and
lightning attachment procedure optimization (LAPO). The hybrid renewable generation energy system in this study includes
a photovoltaic source, wind turbine, and battery storage, which are connected to a point of common coupling via DC/DC
boost converters. The controller at the inverter consists of a current controller and voltage source controller, which results in
three PID gains at each controller. In order to obtain the PID gains, a time domain objective function is formulated in terms
of the voltage, and current errors. The obtained results with the individual advanced optimization LAPO and PSO algorithm
are compared. The results display that the developed LAPO algorithms give better results compared to the conventional
PSO at the input and output current, voltage, and power. All the results have been taken under several operating conditions
of wind turbine (wind speed) and solar sun (changing irradiance and temperature).