Droop Control and Synchronization of Hybrid Microgrid Energy Management System Using Adaptive Neuro-Fuzzy control (case study; Debre Birhan specialized hospital)

Abstract

It is well known fact that the number of populations increase from time to time throughout the world. It increases the energy demand. It can be balanced using replenished energy sources that are known as renewable energy source. Due to environmentally friendly nature and unlimited existence, they are highly applicable for generation of power. Solar and wind energy sources are the basic types of renewable energy. To obtain better energy service and improve reliability, a hybrid system is recommended that standalone system. The fitful nature of solar and wind energy sources causes a power quality and sustainability problem. As a result, a continuous monitoring, controlling, and optimization of generation system performance is required using different software’s and algorithms. This process is known as energy management system (EMS). Basically, the required power demand is efficiently supplied by a good management system. In this thesis, a droop control strategy and synchronization of wind and solar hybrid microgrid EMS is designed and presented using adaptive Neuro-fuzzy inference control system as a case study at debire birhan referral Hospital energy distribution system. In solar energy source, an adaptive neural fuzzy inference system (ANFIS) technique is used to attain a maximum power point tracking of photovoltaic panels. Whereas, proportional integral (PI) controller controls the wind energy. Moreover, a fuel cell is used as a battery for storage of charges from solar panels. The simulation results show that an effective stability and transmission of power without any interruption is obtained by using PSO optimized ANFIS algorithm. Finally, the effectiveness of PSO and ANFIS on fuel cell and PV system is compared with and without PSO.As a result the PSO optimization have good effectiveness with ANFIS controller. Hence, the required power demand is supplied effectively with an increase of reliability to the users.