Effective Energy Management in Grid Integrated with Renewable Resources Using Finite State Machine Model

In view of the advantages of Smart grid over the conventional grid and since it is an area where maximum utilization of renewable energy is possible grid system is in a transition phase now. The objective of this paper is to obtain a scheduling algorithm of a distribution substation having hybrid generation for optimization of renewable energy utilization. This paper presents a demand side management strategy by scheduling the loads in the distribution substation with the availability of renewable energy and grid power and also considering the preferred time of usage for the residential, industrial and commercial loads. A hybrid solar and wind energy generation is modeled and based on the expected power output, the scheduling of loads is implemented. Finite State Machine (FSM) algorithm is used to analyze in MATLAB Simulink with respect to load preference and time of usage. The problem is divided into several states with the availability of solar power, wind power and grid power. The simulation results show that the proposed energy management system reduces the energy consumption from the grid by maximizing the usage of renewable.