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