An optimal demand response energy trading model for VPP

With the modern technological progressions, efficient management and proper utilization of energy resources in transmission and distribution system has become a momentous issue. In addition, power system is undergoing on account of unafforded power generation and distribution in smart grid which effect on energy trading platform that lead to unprofitably for energy producer and increase power loss. However, this paper proposes a virtual power plant (VPP) with the real-time demand response intellectual decision making pricing strategy for the energy bidding difficult by participating in electricity market. The main objective of this research is to develop an optimum energy regulation approach as well as its pricing strategy by considering uncertainness of renewable generations, and unpredictable load demand for future energies management request. The proposed VPP consists of solar energy, wind energy sources which effectively manage generated energy by considering uncertain load demand. For this study, fuzzy logic controller is considered to interconnect among them. The fuzzy rules are developed by using the human thinking so that it can tackle for any complex circumstances for any time of the day. Simulation results for dissimilar conditions of the diurnal are exposed in where fuzzy rules are occupied properly.