Intelligent load management system for off-grid residential house

Demand for renewable energy is increasing due to problems such as the increase in demand, global warming, and rapid depletion of fossil fuels. However, the impact of renewable energy on environmental conditions and the discontinuous production have a negative effect on the efficient use of energy. Therefore, the stored energy must be properly distributed to the loads. Load management systems are needed to minimize the energy imbalance in production and consumption. In systems where there is no load management, in view of the worst scenario, the battery size and system power are calculated high and the installation cost increases. It is aimed to reduce the installation cost and to ensure the system to be efficient and long-lasting with intelligent load management. In this study, load control of the devices in a house which is off grid has been performed. Based on user comfort and criteria, 4 priority load classifications were controlled according to the calculated SOC value. The control system which is compatible with different situations and makes autonomous decisions has been developed by using PLC. In the SOC calculation, coulomb counting method which is widely used in literature is preferred. Power optimization is aimed to keep the loads with high priority in the system. The touch HMI panel is used for the user to read and write data in the system. Thus, the battery is used efficiently and the user's comfort is increased.