Optimisation of the operation of a microgrid with renewable energy sources and battery storage

Abstract

The demand for Electrical Power change effect can be mitigated in the power sector by switching to non-conventional sources like wind power and Solar power. However, because of the unpredictable nature of these sources, it is becoming increasingly difficult to incorporate them into the current infrastructure. In a Hybrid Renewable System (HRS), wherein multiple types of generators are combined, this issue may arise. HRS modelling to obtain economically and practically viable solutions are the main focus. This research works presents a novel technique of optimization based on the Evaporation rate water cycle algorithm (ER-WCA) for determining the best time to run HRS systems in light of a variety of climate scenarios. Diesel generators (DG) are modelled with wind, solar PV, and battery energy storage systems (BESS) in two different control strategies. The system's goal is to achieve optimal scheduling for all generated units connected to HRS while simultaneously reducing the total daily cost of HRS. When the DG is operating at a variable power, the proposed hybrid optimization operation control model saves significantly more fuel than when the DG is operating at its rated capacity to supply the same load demands.