An Intelligent Fuzzy Rule-Based Load Monitoring for Improving Energy Utilization of Energy Storage Systems

An ongoing study developed a computational approach for improving the utilization of hybrid energy system designed for low-income houses. The approach is based on the energy consumption pattern of the household, where energy sources are interchanging to meet certain loads at different time-of-use periods - energy utilization. The combination of a battery and flywheel energy storages is considered in this study, and flywheel energy storage is prioritized to supply high power peaks while the battery is expected to supply low wattage rated appliances. However, the effect of load fluctuations and transient stability can affect the operation of a proposed energy control system if certain technical operation measures are not considered. To overcome these challenges, there is a need to monitor the level of power during load inactivity to improve the precision of the load monitoring technique and apply same for enhancing energy utilization of the hybridized energy storage systems. In this paper, an intelligent Sugeno fuzzy controller is applied to monitor the level of load power at different time intervals and controls the energy flows between the battery and the flywheel energy storages. Furthermore, the flywheel improves the battery state of health by 33.9%.