Flow-Chart Power Management for Grid-Connected Hybrid System

Abstract

The effective control and management strategies are crucial for ensuring the best performance of hybrid systems based on renewable energies and ensuring a dependable energy system with high efficiency. The energy flow management problem of a system with several sources can be addressed in one of three ways: through the use of control strategies, strategies based on predetermined rules, or optimization-based strategies. The main purpose of this work is to developpe a Stateflow-based energy management strategy for a 6-kilowatt photovoltaic array and battery hybrid source to supply an alternative load which also relies on grid power. Indirect control, also known as the voltage-based maximum power point tracking, is used to get the most energy out of a solar array. A fuzzy logic-based control technique is then applied to regulate direct current link voltage, and a Model Predictive Control is developed to fine-tune of the bidirectional converter. To show how efficient the proposed energy management strategy is when implemented using the Stateflow simulator in Matlab/Simulink software. The simulation results demonstrated the effectiveness of stateflow based energy management and its ability to adapt to weather conditions (irradiation) and load variations in different modes of operations of hybrid system include grid-connected and grid-non connected modes. The suggested Stateflow-based energy management is efficient in performance, easy to implement, and enables simulations of the switching between operating modes. Consequently, it is deemed highly suitable for managing the hybrid system under optimal operation mode settings.