Optimization and energy management of hybrid standalone energy system: a case study

The objective of system optimization is to reach the suitable size of each component and the control strategy that provide reliable, efficient, and cost effective system using net present cost (NPC) as a criterion. The harmonization of different energy sources, energy storage and load requirements is a challenging task. Thus, the performance of various possible configurations is investigated, using iHOGA software that is based on genetic algorithm (GA). In this study the achieved optimum configuration is further improved by adapting the daily load pattern to the periods of high renewable generated energy to increase direct energy utilization rather than charging batteries. This will result in effective minimization of battery bank size.