Optimal Scheduling of Micro-Grid with Uncertainty of Solar and Wind Renewable Resources
Mohammad Ali Taghikhani, Behnam Zangeneh
Department of Engineering, Imam Khomeini International University, Qazvin, Iran
Corresponding Author Email: taghikhani@eng.ikiu.ac.ir
Abstract: Nowadays, electricity consumption in industrial and domestic sectors is growing increasingly. In recent years, due to the expansion of consumption and increased concern about environmental pollution resulting from the use of fossil fuels to generate electricity and running out of the resources, using renewable energies such as wind and solar are considered. One of the problems in these resources is uncertainty inherent along with accidental nature of these sources which complicates planning and forecasting of resources. In this paper, optimal scheduling of micro-grid connected to the main grid with renewable energy resources is studied using mixed-integer linear programming in GAMS software. A Virtual power producer (VPP) manages optimal power production and load control using a central control system in micro-grid. A diesel generator is used with other renewable resources so as to control the load instability. Furthermore, stochastic programming and probabilistic scenarios are used in order to model the uncertainty of wind and solar resources. Finally, operation cost of micro-grid by the proposed method is compared with Genetic algorithm that confirms the efficiency of the method.
Keywords: Renewable energy resources; Micro-grid; Uncertainty; Virtual power producer (VPP); Optimal scheduling of power