Design and implementation of intelligent energy control for tariff management using multi-agent system in smart/micro grid

Incorporation of the renewable resources (RR) with regular grid has many challenges like location difference between the renewable energy source and energy distribution point, and characteristic constraints like variability in weather may reduce wind energy, and reduced rain may result in lower hydroelectric energy and so on. In this work, an efficient method is proposed to integrate the RR energy in to the regular power grid. By integrating the RR with conventional energy grid, the user consumption charges can be considerably reduced and, the exploitation of fossil fuels can be gradually reduced. The work also proposes an efficient mechanism to employ real-time tariff management by demand control center that collects the usage information in real-time scale. Experimental simulations are performed using MATLAB/SIMULINK environment. For real-time simulations, fuzzy controller- and TCP/IP-based communication technologies are used. The results show that the proposed work exhibit a better performance against SCADA system, and it shows effective implementation of tariff and energy utility management.