A Novel Strategy for Multi-area Dynamic Energy Management

Dynamic energy management in smart grids courses to increase the system efficiency, not only does it decrease the economic costs, it also courses to reduce the environmental issues. One possible way to improve these benefits is to solve multiple smart grids problems simultaneously, which is called multi-area dynamic energy management. Demand-side management (DSM) is another way which has resulted in improving the current smart grid performance, and as a result, it can provide a wide range of benefits to the system. This paper is proposed a novel strategy to model the electric/thermal DSM with multi-area energy management in order to reduce economic costs and greenhouse gas emissions. Furthermore, this paper has attempted to model the electric vehicles and PV renewable resources with uncertainty forms in smart grids. Moreover, the optimal utilization of the battery is formulated in the proposed model. The simulation results demonstrate the efficiency of the proposed mixed integer programming model in the DSM and energy management issues under inter-area power exchange limitations.

Automated summary

This paper proposes a novel strategy that combines multi-area dynamic energy management with demand-side management to reduce economic costs and greenhouse gas emissions. Additionally, uncertainty modeling of electric vehicles and PV renewable resources, as well as optimal battery utilization, are explored. Simulation results demonstrate the efficiency of the proposed mixed integer programming model in smart grids.