optimal multi-objective design for hybrid renewable energy system in distribution system considering multi-scenarios

This paper presents an effective approach for determining optimal integration of renewable energy distributed generator (re-dgs) of solar farms (sfs) and wind farms (wfs) in ieee 69-node power distribution network (pdn) with target of minimizing (1) the single objective function of total active power loss and (2) multi-objective function including a) total active power loss, b) total reactive power loss, c) the voltage deviation and d) imported energy from the main power gird. intelligent and adaptive meta-heuristic optimization algorithm called bonobo optimizer (bo) is introduced to address optimization problem considering the changing four seasons of winter, spring, summer and autumn from both generation and consumption. the obtained results from bo show its outstanding performance in determining the suitable installation of sfs and wfs compared with many published methods and implemented methods for two cases of single and multi-objective functions.