Optimal Energy Management In Virtual Power Plant

Due to environmental effects,cost of electricity generation and the expeditiously growing de-mand,the utilization of renewable energy sources(RESs)in power systems has been increasing rapidly.A virtual power plant(VPP)excogitation is required in order to incorporate the RESs in the existing electrical power grid without a big investment to expand the electricity generation and transmission capacity in order to accommodate the consumers demand.It consists of multi-ple distributed energy resources(DERs)equipped with energy storage devices and controllable loads.The consolidation of RESs into a VPP pose significant challenges on load scheduling or energy management and impingements on VPP operation.Therefore,in this thesis,an optimal scheduling of a VPP including solar photovoltaic(PV),wind turbine(WT)and energy storage systems(ESS)is proposed.The balance of electrical generation and consumption is one of the most important requirements of energy management in VPP.First,the simple algorithm technique is utilized to determine the energy management in a VPP.Second,the optimization technique is employed in two ways such as with load curtailment and without load curtailment by scheduling of distributed generation units(DGs)and battery storage systems to optimally minimize the cost of purchase energy from grid,cost of energy storage or battery degradation cost and cost of load curtailment in order to minimize the proposed objective function.The simulation of the presented VPP system is carried out under MATLAB/SIMULINK software.Simulation outcomes are shown and discussed that unveils the effectiveness and performance of the designed system.