Stochastic energy management in a practical smart microgrid in Davarzan-Iran considering demand response with wind and PV power scenarios

Abstract

Optimal management of Distributed Generation (DG) resources such as wind and Photovoltaic (PV) powers as well as Demand Response (DR) resources in a microgrid with a smart system is very important. In this paper, a problem is proposed for stochastic scheduling of resources in order to minimize the related costs for different power sources in a microgrid in two operational modes of Grid-Connected and Islanding. The productive resources are distributed generation units (wind and PV powers), conventional thermal units, spinning and non-spinning reserves, and DR resources with high flexibility. The proposed model is formulated as Mixed Integer Linear Programming (MILP). To highlight the properties of the proposed model, and to illustrate the effectiveness of the model in the operational modes of the microgrid, the microgrid test system in the Davarzan area in Iran is employed. The simulation results also show the effectiveness of the DR program in supplying the network load and reducing the costs. Also, the ISO can manage the system effectively by this model in two operating modes.